Journal Articles

Abongwa, P. T. and E. A. Atekwana, 2015: Controls on the chemical and isotopic composition of carbonate springs during evolution to saturation with respect to calcite. Chemical Geology, 404, 136-149. (DOI: 10.1016/j.chemgeo.2015.03.024).
Abreu, S. L. C. B. Godsey, J. T. Edwards, and J. G. Warren, 2011: Assessing carbon and nitrogen stocks of no-till systems in Oklahoma. Soil Tillage Research, 117, 28-33. (DOI: 10.1016/j.still.2011.08.004).
Acero Triana, J.S., M. L. Chu, J.A. Guzman, D.N. Moriasi, J.L. Steiner,, 2019: Beyond model metrics: The perils of calibrating hydrologic models. Journal of Hydrology, 578, . (DOI: 10.1016/j.jhydrol.2019.124032).
Ackerman, C. J., H. T. Purvis, G. W. Horn, S. I. Paisley, R. R. Reuter, and T. N. Bodine, 2001: Performance of light vs heavy steers grazing Plains Old World bluestem at three stocking rates. J. Animal Science, 79, 493-499. (DOI: 10.2527/2001.792493x).
Adams, C., S. Thapa, and P. DeLaune, : Growth and development of irrigated cotton in conservation management systems of the Texas Rolling Plains. Agronomy Journal, 112 (3), 1805-1814. (DOI: 10.1002/agj2.20172).
Adams-Selin, R. D., and R. H. Johnson, 2010: Mesoscale Surface Pressure and Temperature Features Associated with Bow Echoes. Monthly Weather Review, 138, 212-227. (DOI: 10.1175/2009MWR2892.1).
Adams-Selin, R.D., and R.H. Johnson, 2013: Examination of Gravity Waves Associated with the 13 March 2003 Bow Echo. Monthly Weather Review, 141(11), 3735-3756.
Adams-Selin, R.D., S.C. van den Heever, and R.H. Johnson, 2013: Sensitivity of Bow-Echo Simulation to Microphysical Parameterizations. Weather and Forecasting, 28.5, 1188-1209.
Adhikari, A., R.E. Masters, K.P. Mainali, C.B. Zou, O. Joshi, and R.E. Will, 2021: . Management and climate variability effects on understory productivity of forest and savanna ecosystems in Oklahoma, USA. Ecosphere, 12(6), e03576. (DOI: 10.1002/ecs2.3576).
Adhikari, L., M. P. Anderson, A. Klatt, and Y. Wu, 2014: Testing the Efficacy of a Polyester Bagging Method for Selfing Switchgrass. Bioenerg. Res., 8(1), 380-387. (DOI: 10.1007/s12155-014-9528-3).
Adhikari, P., N. Omani, S. Ale, P. B. DeLaune, K. R. Thorp, E. M. Barnes, and G. Hoogenboom, 2017: Simulated effects of winter wheat cover crop on cotton production systems of the Texas Rolling Plains. Transactions of the ASABE, , 1-28. (DOI: 10.13031/trans.12272).
Adler, R. F., G. J. Huffman, A. Chang, R. Ferraro, P. Xie, J. Janowiak, B. Rudolf, U. Schneider, and Coauthors, 2003: The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present). J. Hydrometeorol., 4, 1147-1167. (DOI: 10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2).
Aggarwal, S. K., and L. M. Saini, 2014: Solar energy prediction using linear and non-linear regularization models: A study on AMS (American Meteorological Society) 2013–14 Solar Energy Prediction Contest. Energy, 78, 247-256. (DOI: 10.1016/
Ahedor, A.R., B. Spitz, M. Cowan, J. Miller, and M. Kamara, 2019: Comparative Transpiration Studies on the Invasive Eastern Redcedar (Juniperus virginiana L.) and Adjacent Woody Trees. Oklahoma Native Plant Record, 18(1), 24-37. (DOI: 10.22488/okstate.19.100003).
Ahlberg, C.M., K. Allwardt, A. Broocks, K., Bruno, L. McPhillips, A. Taylor, C.R. Krehbiel, and Coauthors, 2018: Environmental Effects on Water Intake and Water Intake Prediction in Growing Beef Cattle. J. of Animal Science, 96(10), 4368-4384. (DOI: 10.1093/jas/sky267).
Ajaz, A., S.Taghvaeian, K. Khand, P.H. Gowda, and J.E. Moorhead, 2019: Development and Evaluation of an Agricultural Drought Index by Harnessing Soil Moisture and Weather Data. Water, 11, 1375. (DOI: 10.3390/w11071375).
Akumaga, U. and P.D. Alderman, 2019: Comparison of Penman–Monteith and Priestley-Taylor Evapotranspiration Methods for Crop Modeling in Oklahoma. Agronomy Journal, 111(3), 1171-1180. (DOI: 10.2134/agronj2018.10.0694).
Albanese, G., and C.A. Davis, 2013: Broad-scale relationships between shorebirds and landscapes in the southern Great Plains. The Auk, 130(1), 88-97.
Albanese, G., C.A. Davis, and B.W. Compton, 2012: Spatiotemporal scaling of North American continental interior wetlands: implications for shorebird conservation. Landscape Ecol., 27, 1465-1479. (DOI: 10.1007/s10980-012-9803-7).
Alderman, P., 2021: Parallel gridded simulation framework for DSSAT-CSM (version using MPI and NetCDF. Geosci. Model Dev. Discuss., , . (DOI: 10.5194/gmd-2021-183).
Alemohammad, S. H., D. Entekhabi, and D. B. McLaughlin, 2014: Evaluation of Long-Term SSM/I-Based Precipitation Records over Land. J. of Hydromet., 15, 2012-2029. (DOI: 10.1175/JHM-D-13-0171.1).
Alemohammad, S. H., K. A. McColl, A. G. Konings, D. Entekhabi, and A. Stoffelen, A., 2015: Characterization of precipitation product errors across the US using multiplicative Triple Collocation. Hydrol. Earth Syst. Sci., 19, 3489-3503. (DOI: 10.5194/hess-19-3489-2015).
Ali, M. S., A. Sutradhar, M. L. Edano, J. T. Edwards, and K. Girma, 2014: Response of Winter Wheat Grain Yield and Phosphorus Uptake to Foliar Phosphite Fertilization. International Journal of Agronomy, 2014, Article ID 80162, 8 pg. (DOI: 10.1155/2014/801626).
Allen, D.C., H.S. Galbraith, C.C. Vaughn, and D.E. Spooner, 2013: A Tale of Two Rivers: Implications of Water Management Practices for Mussel Biodiversity Outcomes During Droughts. AMBIO, 42, 881-891. (DOI: 10.1007/s13280-013-0420-8).
Allred, B. W., S. D. Fuhlendorf, T. A. Monaco, and R. E. Will, 2010: Morphological and physiological traits in the success of the invasive plant Lespedeza cuneata. Biological Invasions, 12 (4), 739-749. (DOI: 10.1007/s10530-009-9476-6).
Allred, B.W., S.D. Fuhlendorf, and R.G. Hamilton, 2011: The role of herbivores in Great Plains conservation: comparative ecology of bison and cattle. Ecosphere, 2(3), 1-17. (DOI: 10.1890/ES10-00152.1).
Allred, B.W., S.D. Fuhlendorf, T.J. Hovick, R.D. Elmore, D.M. Engle, and A. Joern, 2013: Conservation implications of native and introduced ungulates in a changing climate. Global Change Biology, 19, 1875-1883. (DOI: 10.1111/gcb.12183).
Amgain, N. R., D. K. Harris, S. B. Thapa, D. L. Martin, Y. Wu, and J. Q. Moss, 2018: Evapotranspiration Rates of Turf Bermudagrasses under Nonlimiting Soil Moisture Conditions in Oklahoma. Crop Sci., 57, 1-7. (DOI: 10.2135/cropsci2017.08.0493).
Anagnostou, E. N., V. Maggioni, E. I. Nikolopoulos, T. Meskele, F. Hossain, and A. Papadopoulos, 2010: Benchmarking High-Resolution Global Satellite Rainfall Products to Radar and Rain-Gauge Rainfall Estimates. Geoscience and Remote Sensing, IEEE Transactions on, 48, 1667-1683. (DOI: 10.1109/TGRS.2009.2034736).
Anderson, M. C., J. M. Norman, J. R. Mecikalski, R. D. Torn, W. P. Kustas, and J. B. Basara, 2004: A Multiscale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological Scales. J. Hydrometeor., 5, 343-363. (DOI: 10.1175/1525-7541(2004)005<0343:AMRSMF>2.0.CO;2).
Anderson, M.C., R.G. Allen, A. Morse, and W.P. Kustas, 2012: Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sensing of Environment, 122, 50-65. (DOI: 10.1016/j.rse.2011.08.025).
Andersson, K., C. A. Davis, B. F. Blackwell, and J. R. Heinen, 2017: Wetland bird abundance and safety implications for military aircraft operations. Wildl. Soc. Bull., 41, 424-433. (DOI: 10.1002/wsb.804).
Andrea McMahon, A., C.M.B Franca, and M.C. Wimberly, 2022: Comparing Satellite and Ground-Based Measurements of Environmental Suitability for Vector Mosquitoes in an Urban Landscape. Journal of Medical Entomology, tjac145, . (DOI: 10.1093/jme/tjac145).
Arndt, D.S., J.B. Basara, R.A. McPherson, B.G. Illston, G.D. McManus, and D.B. Demko, 2009: Observations of the Overland Reintensification of Tropical Storm Erin (2007). Bull. Amer. Meteor. Soc, 90, 1079-1093. (DOI: 10.1175/2009BAMS2644.1).
Arnone III, J.A., R.L. Jasoni, A.J. Lucchesi, J.D. Larsen, E.A. Leger, R.A. Sherry, Y. Luo, D.S. Schimel, and P.S.J. Verburg, 2011: A climatically extreme year has large impacts on C4 species in tallgrass prairie ecosystems but only minor effects on species richness and other plant functional groups. J. of Ecology, 99(3), 678-688. (DOI: 10.1111/j.1365-2745.2011.01813.x).
Arnott, N.R., Y.P. Richardson, J.M. Wurman, and E.M. Rasmussen, 2006: Relationship between a Weakening Cold Front, Misocyclones, and Cloud Development on 10 June 2002 during IHOP. Mon. Wea. Rev., 134, 311-335. (DOI: 10.1175/MWR3065.1).
Atekwana, E. A., and C. J. Geyer, 2018: Spatial and temporal variations in the geochemistry of shallow groundwater contaminated with nitrate at a residential site. Environmental Science and Pollution Research, , 1-18. (DOI: 10.1007/s11356-018-2714-7).
Atkins, N. T., R. M. Wakimoto, and C. L. Ziegler, 1998: Observations of the finescale structure of a dryline during VORTEX 95. Mon. Wea. Rev., 126, 525-550. (DOI: 10.1175/1520-0493(1998)126<0525:OOTFSO>2.0.CO;2).
Atkinson, C. L. and J. T. Cooper, 2016: Benthic algal community composition across a watershed: coupling processes between land and water. Aquatic Ecology, 50(2), 315-326. (DOI: 10.1007/s10452-016-9580-5).
Aula, L., P. Omara, E. Nambi, F.B. Oyebiyi, J. Dhillon, E. Eickhoff, J. Carpenter, and W.R. Raun, 2021: Active Optical Sensor Measurements and Weather Variables for Predicting Winter Wheat Yield. Agron. J., , . (DOI: 10.1002/agj2.20620).
Baath, G.S., Northup, B.K., Gowda, P.H., Rocateli, A.C. and H. Singh, 2020: Summer Forage Capabilities of Tepary Bean and Guar in the Southern Great Plains. Agron. J., , . (DOI: 10.1002/agj2.20220).
Baek, M-K and D. Lee, 2018: Spatial and Temporal Day-Ahead Total Daily Solar Irradiation Forecasting: Ensemble Forecasting Based on the Empirical Biasing. Energies , 11(1), 70. (DOI: 10.3390/en11010070).
Bajgain, R., X. Xiao, J. Basara, P. Wagle, Y. Zhou, H. Mahan, P. Gowda, H. R. McCarthy, B. Northup, J. Neel, and J. Steiner, 2018: Carbon dioxide and water vapor fluxes in winter wheat and tallgrass prairie in central Oklahoma. Science of the Total Environment, 644, 1511-1524. (DOI: 10.1016/j.scitotenv.2018.07.010).
Bajgain, R., X. Xiao, J. Basara, P. Wagle, Y. Zhou, Y. Zhang, and H. Mahan, 2017: Assessing agricultural drought in summer over Oklahoma Mesonet sites using the water-related vegetation index from MODIS. International Journal of Biometeorology, 61, 377-390. (DOI: 10.1007/s00484-016-1218-8).
Bajgain, R., X. Xiao, J. Basara, R. Doughty, X. Wu, P. Wagle, Y. Zhou, P. Gowda, and J. Steiner, 2020: Differential responses of native and managed prairie pastures to environmental variability and management practices. Agricultural and Forest Meteorology, 294, . (DOI: 10.1016/j.agrformet.2020.108137).
Bajgain, R., X. Xiao, P. Wagle, J. Basara, and Y. Zhou, 2015: Sensitivity analysis of vegetation indices to drought over two tallgrass prairie sites. Journal of Photogrammetry and Remote Sensing, 108, 151-160. (DOI: 10.1016/j.isprsjprs.2015.07.004).
Baker, R. D., 2006: Project-based learning, surface energy balance, and establishment of a new undergraduate weather station. J. Geoscience Education, 54, 320-328. (DOI: 10.5408/1089-9995-54.3.320).
Balakrishnan, M., C. J. Yapp, J. L. Theler, B. J. Carter, and D. G. Wyckoff, 2004: Environmental significance of 13C/12C and 18O/16O ratios of modern land-snail shells from the southern great plains of North America. Quaternary Research, 63, 15-30. (DOI: 10.1016/j.yqres.2004.09.009).
Barbour, A. J., L. Xue, E. Roeloffs, and J. L. Rubinstein, 2019: Leakage and increasing fluid‐pressure detected in Oklahoma's wastewater disposal reservoir. Journal of Geophysical Research: Solid Earth, , . (DOI: 10.1029/2019JB017327).
Barnett, T. P., J. Ritchie, J. Foat, and G. Stokes,, 1998: On the space-time scales of the surface solar radiation field. J. Climate, 11, 88-96. (DOI: 10.1175/1520-0442(1998)011<0088:OTSTSO>2.0.CO;2).
Barros, A. P., W. Hwu, 2002: A study of land-atmosphere interactions during summertime rainfall using a mesoscale model. J. Geophys. Res., 107, ACL 17. (DOI 10.1029/2000JD000254).
Bartholomew, P. W., 2015: Timing of nitrogen fertilizer application for annual ryegrass overseeded into unimproved perennial warm-season pasture. Crop, Forage & Turfgrass Management, 1(1), 1-6. (DOI: 10.2134/cftm2013.0018).
Bartholomew, P.W., J.M. Schneider, and R.D. Williams, 2011: Pasture residue amount and sowing method effects on establishment of overseeded cool-season grasses and on total annual production of herbage. Grass and Forage Science, 66(4), 560-568. (DOI: 10.1111/j.1365-2494.2011.00813.x).
Bartlett, T. L., D. W. Mock, and P. L. Schwagmeyer, 2005: Division of labor: incubation and biparental care in house sparrows (passer domesticus). The Auk, 122, 835-842. (DOI: 10.1093/auk/122.3.835).
Basara, J. B. and J. I. Christian, 2018: Seasonal and interannual variability of land–atmosphere coupling across the Southern Great Plains of North America using the North American regional reanalysis. Int. J. Climatol., 38, 964-978. (DOI: 10.1002/joc.5223).
Basara, J. B., and K. C. Crawford, 2002: Linear relationships between root-zone soil moisture and atmospheric processes in the planetary boundary layer. J. Geophys. Res., 107, (ACL 10) 1-18. (DOI: 10.1029/2001JD000633).
Basara, J. B., and T. M. Crawford, 2000: Improved installation procedures for deep layer soil moisture measurements. J. Atmos. Oceanic Tech., 17, 879-884. (DOI: 10.1175/1520-0426(2000)017<0879:IIPFDL>2.0.CO;2).
Basara, J. B., B. G. Illston, C. A. Fiebrich, P. Browder, C. Morgan, J. P. Bostic, A. McCombs, R. A. McPherson, et. al., 2011: The Oklahoma City Micronet. Meteorological Applications, 18, 252-261. (DOI: 10.1002/met.189).
Basara, J. B., B. G. Illston, T. E. Winning, and C. A Fiebrich, 2009: Evaluation of Rainfall Measurements from the WXT510 Sensor for use in the Oklahoma City Micronet. The Open Atmospheric Science Journal, 3, 39-45. (DOI: 10.2174/1874282300903010039).
Basara, J. B., H. G. Basara, B. G. Illston, and K. C. Crawford, 2010: The Impact of the Urban Heat Island During an Intense Heat Wave in Oklahoma City. Advances in Meteorology, 2010, Article ID 230365, 10pgs. (DOI: 10.1155/2010/230365).
Basara, J. B., P. K. Hall, A. Schroeder, B. G. Illston, and K. L. Nemunaitis, 2008: The diurnal cycle of the urban heat island in Oklahoma City. J. Geophys. Res., 113, D20109. (DOI: 10.1029/2008JD010311).
Basara, J.B., and M.D. Rowell, 2011: Mesoscale observations of an extended heat burst and associated wind storm in Central Oklahoma. Metr. Appl., 19(1), 91-110. (DOI: 10.1002/met.280).
Bayat, H., B. Mazaheri, and B. P. Mohanty, 2019: Estimating soil water characteristic curve using landscape features and soil thermal properties. Soil and Tillage Research, 189, 1-14. (DOI: 10.1016/j.still.2018.12.018).
Beck, M.R., L.R. Thompson, J.E. White, G.D. Williams, S.E. Place, C.A. Moffet, S.A. Gunter, and R.R. Reuter, 2018: Whole cottonseed supplementation improves performance and reduces methane emission intensity of grazing beef steers. The Professional Scientist, 34 (4), 339-345. (DOI: 10.15232/pas.2018-01722).
Bell, J. E., M. A. Palecki, C. B. Baker, W. G. Collins, J. H. Lawrimore, R. D. Leeper, M.E. Hall, J. Kochendorfer, and Coauthors, 2013: U.S. Climate Reference Network Soil Moisture and Temperature Observations. J. Hydrometeor., 14, 977-988. (DOI: 10.1175/JHM-D-12-0146.1).
Bell, T. L., and P. K. Kundu, 2003: Comparing satellite rainfall estimates with rain gauge data: Optimal strategies suggested by a spectral model. J. Geophys. Res., 108, D3. (DOI: 10.1029/2002JD002641).
Belt, K., and S. T. Paxton, 2005: GIS as an aid to visualizing and mapping geology and rock properties in regions of subtle topography. GSA Bulletin, 117, 149-160. (DOI: 10.1130/B25463.1).
Bendixsen, D. P., S. W. Hallgren, and A. E. Frazier, 2015: Stress factors associated with forest decline in xeric oak forests of south-central United States. Forest Ecology and Management, 347, 40-48. (DOI: 10.1016/j.foreco.2015.03.015).
Bennett R.S. and K.D. Chamberlin, 2020: Resistance to Athelia rolfsii and Web Blotch in the U.S. Mini-core Collection. Peanut Science, 47(1), 17-24. (DOI: 10.3146/PS19-18.1).
Bennett, R.S., K.D. Chamberlin, and J.P. Damicone, 2018: Sclerotinia Blight Resistance in the US Peanut Mini‐Core Collection. Crop Science, 58(3), 1306-1317. (DOI: 10.2135/cropsci2017.09.0591).
Berg, L. K. and P. J. Lamb, 2016: Surface Properties and Interactions: Coupling the Land and Atmosphere within the ARM Program. Meteorological Monographs, 57, 23.1-23.17. (DOI: 10.1175/AMSMONOGRAPHS-D-15-0044.1).
Bergey, E. A., W. J. Matthews, J. E. Fry, 2008: Springs in time: fish fauna and habitat changes in springs over a 20-year interval. Aquatic Conservation: Marine and Freshwater Ecosystems, 18, 829-838.
Bergey, E.A. and B.E. Whipkey, 2020: Climate gradients, and patterns of biodiversity and biotic homogenization in urban residential yards. PloS one, 15 (8), p.e0234830. (DOI: 10.1371/journal.pone.0234830).
Bhattarai, N., L. J. Quackenbush, J. Im, and S. B. Shaw, 2017: A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models. Remote Sensing of Environment, 196, 178-192. (DOI: 10.1016/j.rse.2017.05.009).
Bidlack, J. E., A. Middick, D. Shantz, C. T. MacKown, R. D. Williams, and S. C. Rao, 2006: Weed control in a pigeon pea-wheat cropping system. Field Crops Research, 96, 63-70. (DOI: 10.1016/j.fcr.2005.05.005).
Bielski, C.H., D. Twidwell, S.D. Fuhlendorf, C. L. Wonkka, B. W. Allred, T.E. Ochsner, E.S.Krueger, 2018: Pyric herbivory, scales of heterogeneity and drought. Functional Ecology, 32, 1599-1608.
Biermacher, J. T., F. M. Epplin, B. W. Brorsen, J. B. Solie, W. R. Raun, 2009: Economic feasibility of site-specific optical sensing for managing nitrogen fertilizer for growing wheat. Field Crops Research, 96, 63-70. (DOI: 10.1007/s11119-008-9092-y).
Bikos D., J. Weaver, and B. Motta, 2002: A satellite perspective of the 3 May, 1999 Great Plains tornado outbreak within Oklahoma. Precision Agric., 10, 213-230. (DOI: 10.1175/1520-0434(2002)017<0635:ASPOTM>2.0.CO;2).
Bindlish, R., W. P. Kustas, A. N. French, G. R. Diak, and J. R. Mecikalski, 2001: Influence of near-surface soil moisture on regional scale heat fluxes: model results using microwave remote sensing data from SGP97. IEEE Transactions on Geoscience and Remote Sensing, 39, 1719-1728. (DOI: 10.1109/36.942550).
Blackwell B. R., K. J. Wooten, M. D. Buser, B. J. Johnson, G. P. Cobb, and P. N. Smith, 2015: Occurrence and characterization of steroid growth promoters associated with particulate matter originating from beef cattle feedlots. Environmental Science & Technology, 49(14), 8796-8803. (DOI: 10.1021/acs.est.5b01881).
Blake, B. T., D. B. Parsons, K. R. Haghi, and S. G. Castleberry, 2017: The Structure, Evolution, and Dynamics of a Nocturnal Convective System Simulated Using the WRF-ARW Model. Mon. Wea. Rev., 145, 3179-3201. (DOI: 10.1175/MWR-D-16-0360.1).
Blanchard, D.O., 2008: Interactions between a Supercell and a Quasi-Stationary Frontal Boundary. Mon. Wea. Rev., 136, 5199-5210. (DOI: 10.1175/2008MWR2437.1).
Blazier, M. A., T. C. Hennessey, T. B. Lynch, R. F. Wittwer, and M. E. Payton, 2004: Productivity, crown architecture, and gas exchange of North Carolina and Oklahoma/Arkansas loblolly pine families growing on a droughty site in southeastern Oklahoma. Forest Ecology and Management, 194, 83-94. (DOI: 10.1016/j.foreco.2004.02.014).
Bluestein H. B., S. G. Gaddy, D. C. Dowell, A. L. Pazmany, J. C. Galloway, R. E. McIntosh, and H. Stein, 1997: Doppler radar observations of substorm-scale vortices in a supercell. Mon. Wea. Rev., 125, 1046-1059. (DOI: 10.1175/1520-0493(1997)125<1046:DROOSS>2.0.CO;2).
Bluestein, H. B. and T. M. Crawford, 1997: Mesoscale Dynamics of the Near-Dryline Environment: Analysis of Data from COPS-91. Mon. Wea. Rev., 125, 2161-2175. (DOI: 10.1175/1520-0493(1997)125<2161:MDOTND>2.0.CO;2).
Bluestein, H. B., A. L. Pazmany, J. C. Galloway, and R. E. Mcintosh, 1995: Studies of the substructure of severe convective storms using a mobile 3-mm-wavelength Doppler radar. Bull. Amer. Meteor. Soc., 76, 2155-2169. (DOI: 10.1175/1520-0477(1995)076<2155:SOTSOS>2.0.CO;2).
Bluestein, H. B., and J. C. Snyder, 2014: An observational study of the effects of dry air produced in dissipating convective storms on the predictability of severe weather. Weather and Forecasting, 30, 79-114. (DOI: 10.1175/WAF-D-14-00065.1).
Bluestein, H. B., G. S. Romine, R. Rotunno, D. W. Reif, and C. C. Weiss, 2018: On the Anomalous Counterclockwise Turning of the Surface Wind with Time in the Plains of the United States. Mon. Wea. Rev., 146, 467-484. (DOI: 10.1175/MWR-D-17-0297.1).
Bluestein, H. B., J. B. Houser, M. M. French, J. C. Snyder, G. D. Emmitt, I. PopStefanija, C. Baldi and R. T. Bluth, 2014: Observations of the Boundary Layer near Tornadoes and in Supercells Using a Mobile, Collocated, Pulsed Doppler Lidar and Radar. J. Atmos. and Ocean. Tech., 31, 302-325. (DOI: 10.1175/JTECH-D-13-00112.1).
Bluestein, H. B., J. C. Snyder, and J. B. Houser, 2015: A multi-scale overview of the El Reno, Oklahoma, tornadic supercell of 31 May 2013. Weather and Forecasting, 30, 525-552. (DOI: 10.1175/WAF-D-14-00152.1).
Bluestein, H. B., Z. B. Wienhoff, D. D. Turner, D. W. Reif, J. C. Snyder, K. J. Thiem, and J. B. Houser, 2017: A Comparison of the Finescale Structures of a Prefrontal Wind-Shift Line and a Strong Cold Front in the Southern Plains of the United States. Mon. Wea. Rev., 145, 3307-3330. (DOI: 10.1175/MWR-D-16-0403.1).
Blumberg, W.G., D.D. Turner, S.M. Cavallo, J. Gao, J. Basara, and A. Shapiro, 2019: An Analysis of the Processes Affecting Rapid Near-Surface Water Vapor Increases during the Afternoon to Evening Transition in Oklahoma. J. Appl. Meteor. Climatol., , . (DOI: 10.1175/JAMC-D-19-0062.1).
Bodine, D., D. Michaud, R.D. Palmer, P.L. Heinselman, J. Brotzge, N. Gasperoni, B. Leng Cheong, M. Xue, and J. Gao, 2011: Understanding Radar Refractivity: Sources of Uncertainty. J. of Appl. Metr and Clim, 50(12), 2543-2560. (DOI: 10.1175/2011JAMC2648.1).
Bodine, D., P. L. Heinselman, B. L. Cheong, R. D. Palmer, and D. Michaud, 2010: A Case Study on the Impact of Moisture Variability on Convection Initiation Using Radar Refractivity Retrievals. Journal of Applied Meteorology and Climatology, 49, 1766-1778. (DOI: 10.1175/2010JAMC2360.1).
Bodine, D., P.M. Klein, S.C. Arms, and A. Shapiro, 2009: Variability of Surface Air Temperature over Gently Sloped Terrain. J. Appl. Meteor. Climatol., 48, 1117-1141. (DOI: 10.1175/2009JAMC1933.1).
Bodnar, V.R., J. Lofton, M.R. Manuchehri, and A.D. Zander, 2019: Impact of Late-Season Herbicide Applications on Winter Canola Yield and Seed Quality. Agrosystems, Geosciences & Environment, 2:180053, . (DOI: 10.2134/age2018.10.0053).
Bohmanova, J., I. Misztal, and J. B. Cole, 2007: Temperature-humidity indices as indicators of milk production losses due to heat stress. J. Dairy Sci., 90, 1947-1956. (DOI: 10.3168/jds.2006-513).
Boni, G., F. Castelli, and D. Entekhabi, 2001: Sampling strategies and assimilation of ground temperature for the estimation of surface energy balance components. IEEE Transactions on Geoscience and Remote Sensing, 39, 165-172. (DOI: 10.1109/36.898678).
Bonin, T. A., D. C. Goines, A. K. Scott, C. E. Wainwright, J. A. Gibbs, and P. B. Chilson, 2015: Measurements of the Temperature Structure-Function Parameters with a Small Unmanned Aerial System Compared with a Sodar. Boundary-Layer Meteorol, 155, 417-434. (DOI: 10.1007/s10546-015-0009-9).
Bonin, T. A., P. B. Chilson, B. S. Zielke, P. M. Klein, and J. R. Leeman, 2013: Comparison and Application of Wind Retrieval Algorithms for Small Unmanned Aerial Systems. Geoscientific Instrumentation, Methods and Data Systems, 2.2, 177-187. (DOI: 10.5194/gi-2-177-2013).
Bonin, T. A., P. B. Chilson, B. Zielke, and E. Fedorovich, 2013: Observations of the Early Evening Boundary-Layer Transition Using a Small Unmanned Aerial System. Boundary Layer Metr., 146, 1-14. (DOI: 10.1007/s10546-012-9760-3).
Boone, K.M., R.A. McPherson, M.B.Richman, D.J. Karoly, 2012: Spatial coherence of rainfall variations using the Oklahoma Mesonet. Intl. J. of Clim, 32, 843-853 . (DOI: 10.1002/joc.2322).
Borque, P., S.W. Nesbitt, R.J. Trapp, S. Lasher-Trapp, and M.Oue, 2020: Observational Study of the Thermodynamics and Morphological Characteristics of a Midlatitude Continental Cold Pool Event. Monthly Weather Review, 148(2), 719-737. (DOI:10.1175/MWR-D-19-0068.1).
Bosma, T. L., J. M. Dole, and N. O. Maness, 2003: Optimizing marigold (Tagetes erecta L.) petal and pigment yield. Crop Sci., 43, 2118-2124. (DOI: 10.2135/cropsci2003.2118).
Bosworth, J., T. Koshimizu, and S. T. Acton, 2004: Multi-resolution segmentation of soil moisture imagery by watershed pyramids with region merging. International Journal of Remote Sensing, 24, 741-760. (DOI: 10.1080/01431160110114989).
Boyer, C. N., B. W. Brorsen, W. R. Raun, D. B. Arnall and J. B. Solie, 2012: Efficiency of preplant, topdress, and variable rate application of nitrogen in winter wheat. J. of Plant Nutr., 35(12), 1776-1790. (DOI: 10.1080/01904167.2012.706675).
Boyer, C.N., B.W. Borsen, J.B. Solie, and W.R. Raun, 2011: Profitability of variable rate nitrogen application in wheat production. Precision Agric., 12, 473-487. (DOI: 10.1007/s11119-010-9190-5).
Boyer, T. A., P. Kanza, M. Ghimire, and J. Q. Moss, 2015: Household Adoption of Water Conservation and Resilience Under Drought: The Case of Oklahoma City. Water Econs. Policy, 1(2), 21 pg. (DOI: 10.1142/S2382624X15500058).
Boyer, T. A., R. T. Melstrom, and L. D. Sanders, 2017: Effects of climate variation and water levels on reservoir recreation. Lake and Reservoir Management, 33(3), 223-233. (DOI: 10.1080/10402381.2017.1285375).
Bradley, J. C., R. E. Will, J. F. Stewart, C. D. Nelson, and J. M. Guldin, 2016: Post-fire resprouting of shortleaf pine is facilitated by a morphological trait but fire eliminates shortleaf × loblolly pine hybrid seedlings. Forest Ecology and Management, 379, 146-152. (DOI: 10.1016/j.foreco.2016.08.016).
Brauer, N.S., J.B. Basara, P.E. Kirstetter, R.A. Wakefield, C.R. Homeyer, J. Yoo, M. Shepherd, M., and J.A. Santanello, 2021: The Inland Maintenance and Re-intensification of Tropical Storm Bill (2015) Part 2: Precipitation Microphysics. Journal of Hydrometeorology, , . (DOI: 10.1175/JHM-D-20-0151.1).
Bried, J. T., S. K. Jog, C. A. Davis, A. R. Dzialowski, 2016: Rapid Buffer Assessment Fails to Predict and Classify Wetland Floristic Quality in Oklahoma. Wetlands, 36(5), 799-805. (DOI: 10.1007/s13157-016-0786-z).
Bright, E. G. and E. A. Bergey, 2015: Spatial distribution of resting stages of crustaceans and other aquatic invertebrates in playa wetlands. Journal of Crustacean Biology, 35(4), 515-521. (DOI: 10.1163/1937240X-00002347).
Britt, K.C., P.S. Skinner, P.L. Heinselman, and K.H. Knopfmeier, 2020: Effects of Horizontal Grid Spacing and Inflow Environment on Forecasts of Cyclic Mesocyclogenesis in NSSL’s Warn-on-Forecast System (WoFS). Weather and Forecasting, 35 (6), 2423-2444. (DOI: 10.1175/WAF-D-20-0094.1).
Brock, F. V., K. C. Crawford, R. L. Elliott, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and M. D. Eilts, 1995: The Oklahoma Mesonet: A Technical Overview. J. Atmos. Oceanic Technol., 12, 5-19. (DOI: 10.1175/1520-0426(1995)012<0005:TOMATO>2.0.CO;2).
Brotzge, J. A., 2004: A two-year comparison of the surface energy and water budgets between two OASIS sites 900+ km apart. J. Hydrometeorol., 5, 311-326.
Brotzge, J. A. and C. M. Luttrell, 2015: Genesis of the Chickasha, Oklahoma, tornado on 24 May 2011 as observed by CASA radar and Oklahoma Mesonet. Journal of Operational Meteorology, 3(6), 59-69. (DOI: 10.15191/nwajom.2015.0306).
Brotzge, J. A., and C. E. Duchon, 2000: A field comparison among a domeless net radiometer, two 4-component net radiometers, and a domed net radiometer. J. Atmos. Oceanic Technol., 17, 1569-1582. (DOI: 0.1175/1520-0426(2000)017<1569:AFCAAD>2.0.CO;2).
Brotzge, J. A., and D. Weber, 2002: Land-surface scheme validation using the Oklahoma Atmospheric Surface-layer Instrumentation System (OASIS) and Oklahoma Mesonet data: Preliminary results. Meteorol. Atmos. Phys., 80, 189-206. (DOI: 10.1007/s007030200025).
Brotzge, J. A., and K. C. Crawford, 2000: Estimating Sensible Heat Flux from the Oklahoma Mesonet. J. Appl. Meteor., 39, 102-116. (DOI: 10.1175/1520-0450(2000)039<0102:ESHFFT>2.0.CO;2).
Brotzge, J. A., and K. C. Crawford, 2003: Examination of the surface energy budget as observed from OASIS (eddy correlation) and ARM (Bowen ratio) measurement systems. J. Hydrometeor., 4, 160-178. (DOI: 10.1175/1525-7541(2003)4<160:EOTSEB>2.0.CO;2).
Brotzge, J. A., and S. J. Richardson, 2003: Spatial and temporal correlation among Oklahoma Mesonet and OASIS surface-layer measurements. J. Appl. Meteor., 42, 5-19. (DOI: 10.1175/1520-0450(2003)042<0005:SATCAO>2.0.CO;2).
Brotzge, J., K. Hondl, B. Philips, L. Lemon, E. J. Bass, D. Rude, and D. L. Andra, 2010: Evaluation of Distributed Collaborative Adaptive Sensing for Detection of Low-Level Circulations and Implications for Severe Weather Warning Operations. Weather and Forecasting, 25, 173-189. (DOI: 10.1175/2009WAF2222233.1).
Brown, C.R., S.L. Hannebaum, A. Eaton-Clark, W. Booth, and V.A. O'Brien, 2022: Elevated Temperature Reduces Overwintering Survival of an Avian Ectoparasite, the Swallow Bug (Hemiptera: Cimicidae: Cimex vicarius). Environmental Entomology, nvac015, . (DOI: 10.1093/ee/nvac015).
Bryan, G. H., and M. D. Parker, 2010: Observations of a Squall Line and Its Near Environment Using High-Frequency Rawinsonde Launches during VORTEX2. Monthly Weather Review, 138, 4076-4097. (DOI: 10.1175/2010MWR3359.1).
Buban, M.S., C.L. Ziegler, E.N. Rasmussen, and Y.P. Richardson, 2007: The Dryline on 22 May 2002 during IHOP: Ground-Radar and In Situ Data Analyses of the Dryline and Boundary Layer Evolution. Mon. Wea. Rev., 135, 2473-2505. (DOI: 10.1175/MWR3453.1).
Buhler, R., and A. B. Cerato, 2010: Design of Dynamically Wind-Loaded Helical Piers for Small Wind Turbines. Journal of Performance of Constructed Facilities, 30, 370-379. (DOI: 10.1061/ASCECF.1943-5509.0000119).
Bukovčić, P., A Ryzhkov, and D Zrnić , 2020: Polarimetric relations for snow estimation – radar verification. J. of Appl. Met. and Clim., , . (DOI: 10.1175/JAMC-D-19-0140.1).
Bukovčić, P., A. Ryzhkov, D. Zrnić, and G. Zhang, 2018: Polarimetric Radar Relations for Quantification of Snow Based on Disdrometer Data. J. Appl. Meteor. Climatol., 57, 103-120. (DOI: 10.1175/JAMC-D-17-0090.1).
Bukovčić, P., D. Zrnić, and G. Zhang, 2017: Winter Precipitation Liquid–Ice Phase Transitions Revealed with Polarimetric Radar and 2DVD Observations in Central Oklahoma. J. Appl. Meteor. Climatol., 56, 1345-1363. (DOI: 10.1175/JAMC-D-16-0239.1).
Burch, M., and E. Levetin, 2004: Effects of meteorological conditions on spore plumes. International Journal of Biometeorology, 46, 107-117. (DOI: 10.1007/s00484-002-0127-1).
Burke, E.J., L.A. Bastidas, and W. J. Shuttleworh, 2002: Exploring the potential for multipatch soil-moisture retrievals using multiparameter optimization techniques. IEEE Transactions on Geoscience and Remote Sensing, 40, 1114-1120. (DOI: 10.1109/TGRS.2002.1010898).
Burton, J. A., S. W. Hallgren, and M. W. Palmer, 2010: Fire Frequency Affects Structure and Composition of Xeric Forests of Eastern Oklahoma. Natural Areas Journal, 30, 370-379. (DOI: 10.3375/043.030.0401).
Bushdong, J.A., A.P. Griffth, T.F. Peeper, and F.M. Epplin, 2012: Continuous Winter Wheat Versus a Winter Canola–Winter Wheat Rotation. Agronomy Journal, 104(2), 324-330. (DOI: 10.2134/agronj2011.0244).
Bushong, J. T., D. B. Arnall, and W.R. Raun, 2014: Effect of Preplant Irrigation, Nitrogen Fertilizer Application Timing, and Phosphorus and Potassium Fertilization on Winter Wheat Grain Yield and Water Use Efficiency. International Journal of Agronomy, 2014, Article ID 312416, 12 pg. (DOI: 10.1155/2014/312416).
Bushong, J. T., E. C. Miller, J. L. Mullock, D. B. Arnall, and W. R. Raun, 2014: Effect of Irrigation and Preplant Nitrogen Fertilizer Source on Maize in the Southern Great Plains. International Journal of Agronomy, 2014, Article ID 247835, 10 pg. (DOI: 10.1155/2014/247835).
Bushong, J. T., E. C. Miller, J. L. Mullock, D. B. Arnall, and W. R. Raun, 2016: Irrigated and rain-fed maize response to different nitrogen fertilizer application methods. Journal of Plant Nutrition, 39 (13), 1874-1890. (DOI: : 10.1080/01904167.2016.1187747).
Bushong, J. T., J. L. Mullock, D. B. Arnall, and W. R. Raun, 2018: Effect of nitrogen fertilizer source on corn (Zea mays L.) optical sensor response index values in a rain-fed environment. Journal of Plant Nutrition, , . (DOI: 10.1080/01904167.2018.1434202).
Bushong, J. T., J. L. Mullock, E. C. Miller, W. R. Raun, and D. B. Arnall, 2016: Evaluation of mid-season sensor based nitrogen fertilizer recommendations for winter wheat using different estimates of yield potential. Precision Agriculture, 17(4), 470-487. (DOI: 10.1007/s11119-016-9431-3).
Bushong, J.T., J.L. Mullock, E.C. Miller, W.R. Raun, A.R. Klatt, and D.B. Arnall, 2016: Development of an in-season estimate of yield potential utilizing optical crop sensors and soil moisture data for winter wheat. Precision Agric, 17, 451. (DOI: 10.1007/s11119-016-9430-4).
Butchee, K., D.B. Arnall, A. Sutradhar, C. Godsey, H. Zhang, and C. Penn, 2012: Determining Critical Soil pH for Grain Sorghum Production. Intl. J. of Agronomy, 2012, 130254. (DOI: 10.1155/2012/130254).
Cahalan, R., F. M. McGill, J. Kolasinski, T. Varnai, and K. Yetzer, 2005: THOR-cloud thickness from offbeam lidar returns. J. Atmos. Oceanic Technol., 22, 605-627. (DOI: 10.1175/JTECH1740.1).
Cahil, N., M. Popp, C. West, A. Rocateli, A. Ashworth, R. Farris Sr, and B. Dixon, 2014: Switchgrass Harvest Time Effects on Nutrient Use and Yield: An Economic Analysis. Journal of Agricultural and Applied Economics, 46.4, 487-507. (DOI: 10.1017/S1074070800029060).
Cai, H., W.C. Lee, T.M. Weckwerth, C. Flamant, and H.V. Murphey, 2006: Observations of the 11 June Dryline during IHOP_2002-A Null Case for Convection Initiation. Mon Wea. Rev., 134, 336-354. (DOI: 10.1175/MWR2998.1).
Calhoun, K. M., D. R. MacGorman, C. L. Ziegler, and M. I. Biggerstaff, 2013: Evolution of lightning activity and storm charge relative to dual-Doppler analysis of a high-precipitation supercell storm. Monthly Weather Review, 141(7), 2199-2223. (DOI: 10.1175/MWR-D-12-00258.1).
Campbell, J. L., L. E. Rustad, J. H. Porter, J. R. Taylor, E. W. Dereszynski, and Coauthors, 2013: Quantity is Nothing without Quality: Automated QA/QC for Streaming Environmental Sensor Data. BioScience, 63 (7), 574-585. (DOI: 10.1525/bio.2013.63.7.10).
Campos, I., L. González-Gómez, J. Villodre, J. González-Piqueras, A.E. Suyker and A. Calera, 2018: Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fields. Field Crops Research, 216, 175-188. (DOI: 10.1016/j.fcr.2017.11.025).
Cao, Q., G. Zhang, E. A. Brandes, and T. J. Schuur, 2010: Polarimetric Radar Rain Estimation through Retrieval of Drop Size Distribution Using a Bayesian Approach. Journal of Applied Meteorology and Climatology, 49, 973-990. (DOI: 10.1175/2009JAMC2227.1).
Carbin, G., and J. Guyer, 2011: Tornadoes 2011: An Unprecedented Year. Weatherwise, 65(3), 12-19. (DOI: 10.1080/00431672.2012.670071).
Carlin, J.T., J. Gao, J.C. Snyder, and A.V. Ryzhkov, 2017: Assimilation of ZDR Columns for Improving the Spinup and Forecast of Convective Storms in Storm-Scale Models: Proof-of-Concept Experiments. Mon. Wea. Rev., 145(12), 5033–5057. (DOI: 10.1175/MWR-D-17-0103.1).
Carlson J. D., L. S. Bradshaw, R. M. Nelson, R. R. Bensch, and R. Jabrzemski, 2007: Application of the Nelson model to four timelag fuel classes using Oklahoma field observations: model evaluation and comparison with National Fire Danger Rating System algorithms. International Journal of Wildland Fire, 16, 204-216. (DOI: 10.1071/WF06073).
Carlson, J. D., and R. E. Burgan, 2003: Review of user needs in operational fire danger estimation: The Oklahoma example. International Journal of Remote Sensing, 24, 1601-1620. (DOI: 10.1080/01431160210144651).
Carlson, J. D., R. E. Burgan, D. M. Engle, and J. R. Greenfield, 2002: The Oklahoma Fire Danger Model: An operational tool for mesoscale fire danger rating in Oklahoma. Intl. J. Wildland Fire, 11, 183-191. (DOI: 10.1071/WF02003).
Carlson, J.D., and D.S. Arndt, 2008: The Oklahoma Dispersion Model: Using the Gaussian Plume Model as an Operational Management Tool for Determining Near-Surface Dispersion Conditions across Oklahoma. J. Appl. Meteor. Climatol., 47, 462-474. (DOI: 10.1175/2007JAMC1418.1).
Carroll J. M., C. A. Davis, R. D. Elmore, and S. D. Fuhlendorf, 2017: Using a historic drought and high-heat event to validate thermal exposure predictions for ground-dwelling birds. Ecol Evol., 7, 6413-6422. (DOI: 10.1002/ece3.3185).
Carroll, J. M., C. A. Davis, D. Elmore, and S. D. Fuhlendorf, 2015: A ground-nesting galliform's response to thermal heterogeneity: implications for ground-dwelling birds. PLoS-One, 10(11), e0143676. (DOI:10.1371/journal.pone.0143676).
Carroll, J. M., C. A. Davis, D. Elmore, S. D. Fuhlendorf, and E. T. Thacker, 2015: Thermal patterns constrain diurnal behavior of a ground-dwelling bird. Ecosphere, 6(11), 222. (DOI: 10.1890/
Carroll, J. M., C. A. Davis, R. D. Elmore, and S. D. Fuhlendorf, 2017: Response of Northern Bobwhite Movements to Management-Driven Disturbance in a Shrub-Dominated Ecosystem. Rangeland Ecology & Management, 70 (2), 175-182. (DOI: 10.1016/j.rama.2016.08.006).
Carroll, J. M., C. A. Davis, S. D. Fuhlendorf, and R. D. Elmore, 2016: Landscape pattern is critical for the moderation of thermal extremes. Ecosphere, 7(7):e01403, . (DOI: 10.1002/ecs2.1403).
Carroll, J. M., T. J. Hovick, C. A. Davis, R. D. Elmore, and S. D. Fuhlendorf, 2017: Reproductive plasticity and landscape heterogeneity benefit a ground‐nesting bird in a fire‐prone ecosystem. Ecological Applications, 27(7), 2234-2244. (DOI: 10.1002/eap.1604).
Carroll, R. L., C. A. Davis, S. D. Fuhlendorf, R. D. Elmore, and J. M. Carroll, 2020: Orientation affects nest temperature of ground-nesting birds. The Wilson Journal of Ornithology, , . (DOI: 10.1676/19-09).
Carroll, R.L., C.A. Davis, S.D. Fuhlendorf, R. D. Elmore, S.E. DuRant, and J.M. Carroll, 2018: Avian parental behavior and nest success influenced by temperature fluctuations. Journal of Thermal Biology, 74, 140-148. (DOI: 10.1016/j.jtherbio.2018.03.020).
Carter, D. L., and B. L. VanderWeide, 2014: Belowground bud production is linked to population establishment in Sorghastrum nutans (Poaceae). Plant Ecology, 215(9), 977-986. (DOI: 10.1007/s11258-014-0353-8).
Carver, B. F., R. M. Hunger, A. R. Klatt, J. T. Edwards, W.D. Worrall, D. R. Porter, P. Rayas-Duarte, and Coauthors, 2006: Registration of 'OK Bullet' wheat. Crop Sci. , 46, 2322-2323. (DOI: 10.2135/cropsci2006.04.0268).
Carver, B. F., R. M. Hunger, E. L. Smith, A. R. Klatt, J. T. Edwards, D. R. Porter, P. Rayas-Duarte, and Coauthors, 2006: Registration of 'Endurance' wheat. Crop Sci, 46, 1816-1817. (DOI: 10.2135/cropsci2005.12-0452CRC).
Carver, B. F., R. M. Hunger, E. L. Smith, A. R. Klatt, J. T. Edwards, D. R. Porter, P. Rayas-Duarte, and Coauthors, 2006: Registration of 'Deliver' wheat. Crop Sci. , 46, 1819-1820. (DOI: 10.2135/cropsci2006.01-0016CRC).
Caton, T. M., L. R. Witte, H. D. Ngyuen, J. A. Buchheim, M.A. Buchheim, and M.A. Schneegurt, 2004: Halotolerant aerobic heterotrophic bacteria from the Great Salt Plains of Oklahoma. Microbial Ecology, 48, 449-462. (DOI: 10.1007/s00248-004-0211-7).
Cazenave, A.-B. K. Shah, T. Trammell, M. Komp, J. Hoffman, C. M. Motes, and M. J. Monteros, 2019: High-Throughput Approaches for Phenotyping Alfalfa Germplasm under Abiotic Stress in the Field. The Plant Phenome Journal, , 13 pp. (DOI: 10.2135/tppj2019.03.0005).
Chakraborty, D., H. Başagaoglu, S. Alian, A. Mirchi, D.N. Moriasi, P.J. Starks, and J.A. Verser, 2022: Multiscale extrapolative learning algorithm for predictive soil moisture modeling & applications. Expert Systems with Applications, 119056, . (DOI: 10.1016/j.eswa.2022.119056).
Chamaki,S., S. Taghvaeian, H. Zhang, and J.G. Warren , 2019: Soil Salinity Variations in an Irrigation Scheme during a Period of Extreme Dry and Wet Cycles. Soil Systems, 3 (35), 1-16. (DOI: 10.3390/soilsystems3020035).
Champollion, C., C. Flamant, O. Bock, F. Masson, D. D. Turner, and T. Weckwerth, 2009: Mesoscale GPS tomography applied to the 12 June 2002 convective initiation event of IHOP_2002. Quarterly Journal of the Royal Meteorological Society, 135, 645-662. (DOI: 10.1002/qj.386).
Chan, S. R. Bindlish, P. O'Neill, T. Jackson, E. Njoku, S. Dunbar, J. Chaubell, J. Piepmeier, S. Yueh, D. Entekhabi, et al., 2018: Development and assessment of the SMAP enhanced passive soil moisture product. Remote Sensing of Environment, 204, 931-941. (DOI: 10.1016/j.rse.2017.08.025).
Chaney, N. W., J. Sheffield, G. Villarini, and E. F. Wood, 2014: Development of a High-Resolution Gridded Daily Meteorological Dataset over Sub-Saharan Africa: Spatial Analysis of Trends in Climate Extremes. J. of Clim., 27(15), 5815-5835. (DOI: 10.1175/JCLI-D-13-00423.1).
Chasteen, M.B., S.E. Koch, and D.B. Parsons, 2019: Multiscale Processes Enabling the Longevity and Daytime Persistence of a Nocturnal Mesoscale Convective System. Mon. Wea. rev., 147, 733-761. (DOI: 10.1175/MWR-D-18-0233.1).
Chen, F., K. W. Manning, M. A. LeMone, S. B. Trier, J. G. Alfieri, R. Roberts, J. Wilson, M. Tewari, D. Niyogi, and Coauthors, 2007: Evaluation of the characteristics of the NCAR High-Resolution Land Data Assimilation System During IHOP-02. J. Appl. Meteor., 46, 694-713.
Chen, F., W.T. Crow, P.J. Starks, and D.N. Moriasi, 2011: Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture. Adv. In Water Res., 34(4), 526-536. (DOI: 10.1016/j.advwatres.2011.01.011).
Chen, H., J. Gao, Y. Wang, Y. Chen, T. Sun, J. Carlin, and Y. Zheng, 2021: Radar reflectivity data assimilation method based on background‐dependent hydrometeor retrieval: Comparison with direct assimilation for real cases. Quarterly Journal of the Royal Meteorological Society, 147(737), 2409-2428. (DOI: 10.1002/qj.4031).
Chen, W., T.R. Pinker, Y. Ma, G. Hulley, E. Borbas, T. Islam, K. Cawse-Nicholson, S. Hook, C. Hain, and J. Basara, 2021: Land Surface Temperature from GOES-East and GOES-West. Journal of Atmospheric and Oceanic Technology, , . (DOI: 10.1175/JTECH-D-20-0086.1).
Chen, Y. N. T. Dunford, J. Edwards, B. Carver, C. Goad, 2009: Policosanol content and composition of wheat varieties as affected by environment. Journal of the Science of Food and Agriculture, 89, 310-314. (DOI: 10.1002/jsfa.3446).
Chen, Y. N. T. Dunford, J. Edwards, B. Carver, C. Goad, 2009: Genotype and Environment Affect Phytosterol Content and Composition of Wheat. Cereal Chemistry, 86, 96-99. (DOI: 10.1094/CCHEM-86-1-0096).
Cheng, Y., C. Sayde, Q. Li, J. Basara, J. Selker, E. Tanner, and P. Gentine, 2017: Failure of Taylor's hypothesis in the atmospheric surface layer and its correction for eddy-covariance measurements. Geophys. Res. Lett., 44, 4287-4295. (DOI: 10.1002/2017GL073499).
Cheng, Y., Huang, M., Zhu, B., Bisht, G., Zhou, T., Liu, Y., et al., 2021: Validation of the Community Land Model Version 5 over the Contiguous United States (CONUS) using in‐situ and remote sensing datasets. Journal of Geophysical Research: Atmospheres, 126, e2020JD033539. (DOI: 10.1029/2020JD033539).
Cheong, B. L., R. D. Palmer, C. D. Curtis, T. Y. Yu, D. S. Zrnic and D. Forsyth, 2008: Refractivity Retrieval Using the Phased-Array Radar: First Results and Potential for Multimission Operation. IEEE Transactions on Geoscience and Remote Sensing, 46 (9), 2527-2537. (DOI: 10.1109/TGRS.2008.919506).
Chester-Davis, L., 2019: Mesonet data as a farm management tool. Crops Soils, 52, 32-34. (DOI: 10.2134/cs2019.52.0307).
Chiasson, A. D., J. D. Spitler, S. J. Rees, and M. D. Smith, 2000: A model for simulating the performance of a pavement heating system as a supplemental heat rejecter with closed-loop ground-source heat pump systems.  J. Solar Energy Engineering, 122, 183-191. (DOI: 10.1115/1.1330725).
Childers, J.T., M.R. Manuchehri, V. Kumar, and T.E. Ochsner, 2022: Sensitivity of Non-resistant Winter Wheat to Quizalofop-P-ethyl in Central Oklahoma and Kansas. Weed Science, , . (DOI: 10.1017/wet.2022.64).
Childs, P. P., A. L. Qureshi, S. Raman, K. Alapaty, R. Ellis, R. Boyles, and D. Niyogi, 2006: Simulation of convective initiation during IHOP_2002 using the Flux-Adjusting Surface Data Assimilation System (FASDAS). Mon Wea. Rev., 134, 134-148. (DOI: 10.1175/MWR3064.1).
Chilson, P.B., and M.B. Yeary, 2012: Hands-On Learning Modules for Interdisciplinary Environments: An Example With a Focus on Weather Radar Applications. IEEE Trans., 55(2), 238-247. (DOI: 10.1109/TE.2011.2164796).
Chilson, P.B., Bell, K.A. Brewster, G. Britto Hupsel de Azevedo, F.H. Carr, K. Carson, W. Doyle, C.A. Fiebrich, et al., 2019: Moving towards a Network of Autonomous UAS Atmospheric Profiling Stations for Observations in the Earth’s Lower Atmosphere: The 3D Mesonet Concept. Sensors, 19(12), 2720. (DOI: 10.3390/s19122720).
Chrit, M. and M. Majdi, 2022: Improving Wind Speed Forecasting for Urban Air Mobility Using Coupled Simulations. Advances in Meteorology, Article ID 2629432, 14 pp. (DOI: 10.1155/2022/2629432).
Ciach, G. J., and W. F. Krajewski, 2006: Analysis and modeling of spatial correlation structure in small-scale rainfall in Central Oklahoma. Advances in Water Resources, 29 (10), 1450-1463. (DOI: 10.1016/j.advwatres.2005.11.003).
Ciach, G. J., E. Habib, and W. F. Krajewski, 2003: Zero-covariance hypothesis in the error variance separation method of radar rainfall verification. Advances in Water Resources, 26 (5), 573-580. (DOI: 10.1016/S0309-1708(02)00163-X).
Ciach, G.J., 2003: Local Random Errors in Tipping-Bucket Rain Gauge Measurements. J. Atmos. Oceanic Technol., 20, 752-759. (DOI: 10.1175/1520-0426(2003)20<752:LREITB>2.0.CO;2).
Ciach, G.J., W.F. Krajewski, and G. Villarini, 2007: Product-Error-Driven Uncertainty Model for Probabilistic Quantitative Precipitation Estimation with NEXRAD Data. Hydrometeor., 8, 1325-1347. (DOI: 10.1175/2007JHM814.1).
Cisar, C. R., S. K. Henderson, M. L. Askew, H. G. Risenhoover, C. R. McAndrews, S. D. Kennedy, and C. Paine, 2014: Antibiotic Resistance in Aeromonas Upstream and Downstream of a Water Resource Recovery Facility. Water Environment Research, 86(9), 835-843. (DOI: 10.2175/106143014X14062131177917).
Cobb, A. B., G. W. T. Wilson, C. L. Goad, S. R. Bean, T. T. Tesso, and J. D. Wilson, 2017: Assessing the influence of farm fertility amendments, field management, and sorghum genotypes on soil microbial communities and grain quality. Applied Soil Ecology, 119, 367-374. (DOI: 10.1016/j.apsoil.2017.06.010).
Cocke, S., M. Boisserie, and D.-W. Shin, 2012: A coupled soil moisture initialization scheme for the FSU/COAPS climate model. Inverse Problems in Science and Engineering, 21:3, 420-437. (DOI: 10.1080/17415977.2012.712529).
Cohen, D. R., and D. Zilberman, 1997: Actual versus Stated Willingness to Pay: A Comment. Journal of Agricultural and Resource Economics, 22, 76-381.
Coleman, S.W., C. C. Chase, W.A. Phillips, and D.G. Riley, 2018: Feed efficiency of tropically adapted cattle when fed in winter or spring in a temperate location. Journal of Animal Science, 96(6), 2438-2452. (DOI: 10.1093/jas/sky138).
Coleman, S.W., C.C. Chase, W.A. Phillips, and D.G. Riley, 2018: Feed efficiency of tropically adapted cattle when fed in winter or spring in a temperate location. Journal of Animal Science, 96(6), 2438-2452. (DOI: 10.1093/jas/sky138).
Collow, T.W., A. Robock, J.B. Basara, and B.G. Illston, 2012: Evaluation of SMOS retrievals of soil moisture over the central United States with currently available in situ observations. J. of Geophys. Res, 117, . D09113, 15 PP (DOI: 10.1029/2011JD017095).
Coniglio, M.C., G.S. Romine, D.D. Turner, and R.D. Torn, 2019: Impacts of Targeted AERI and Doppler Lidar Wind Retrievals on Short-Term Forecasts of the Initiation and Early Evolution of Thunderstorms. Mon. Wea. Rev., , . (DOI: 10.1175/MWR-D-18-0351.1).
Coniglio, M.C., S.M. Hitchcock, and K.H. Knopfmeier, 2016: Impact of Assimilating Preconvective Upsonde Observations on Short-Term Forecasts of Convection Observed during MPEX. Mon. Wea. Rev., 144, 4301-4325. (DOI: 10.1175/MWR-D-16-0091.1).
Conley, A. L., E. K. Jorde, R. E. Jorde, L. K. Yates, K. K. Lee, C. L. Hall, and D. R. Howard, 2015: Habitat-Related Differences In Necrophilous Species Composition: Implications For Resource Competition. Prairie Naturalist, 47(1), 45-49.
Cooper-Prado, M.J., N.M. Long, E.C. Wright, C.L. Goad, and R.P. Wettemann, 2011: Relationship of ruminal temperature with partuition and estrus of beef cows. J. of Animal Sci., 89(4), 1020-1027. (DOI: 10.2527/jas.2010-3434).
Cornell C.R., Y. Zhang, J.D. Van Nostrand, P. Wagle, X. Xiao, and J. Zhou, 2021: Temporal Changes of Virus-Like Particle Abundance and Metagenomic Comparison of Viral Communities in Cropland and Prairie Soils. mSphere, 6 (3), 20 pp. (DOI: 10.1128/mSphere.01160-20).
Cornell, C.R., Y. Zhang, D. Ning, L. Wu, P. Wagle, J.L. Steiner, X. Xiao, and J. Zhou, 2022: Temporal Dynamics of Bacterial Communities along a Gradient of Disturbance in a U.S. Southern Plains Agroecosystem. Environmental Microbiology, , 18 pp. (DOI: 10.1128/mbio.03829-21).
Cortinas Jr, J. V., J. M. Straka, W. H. Beasley, J. M. Schneider, and C. M. Machacek, 1996: The Research Experiences for Undergraduates Program: The 1995 Program at the Oklahoma Weather Center. Bulletin of the American Meteorological Society, 77(12), .
Cosgrove, B. A., D. Lohmann, K. E. Mitchell, P. R. Houser, E. F. Wood, J. Schaake, A. Robock, D. P. and Coauthors, 2002: Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. J. Geophys. Res., 108, D22. (DOI: 10.1029/2002JD003118).
Cosh M.H., T.G. Caldwell, C.B. Baker, J.D. Bolten, N. Edwards, P. Goble, H. Hofman, T.E. Ochsner, S. Quiring, C.Schalk, et al., 2021: Developing a strategy for the national coordinated soil moisture monitoring network. Vadose Zone J., , 1-13. (DOI: 10.1002/vzj2.20139).
Cosh, M. H., P. J. Starks, J. A. Guzman, and D. N. Moriasi, 2014: Upper Washita River Experimental Watersheds: Multiyear stability of soil water content profiles. Journal of Environmental Quality, 43(4), 1328-1333. (DOI: 10.2134/jeq2013.08.0318).
Cosh, M.H., T.E. Ochsner, L. McKee, J. Dong, J.B. Basara, S.R. Evett, C.E. Hatch, E.E. Small, S.C. Steele-Dunne, and others, 2016: The Soil Moisture Active Passive Marena, Oklahoma, In Situ Sensor Testbed (SMAP-MOISST): Testbed Design and Evaluation of In Situ Sensors. Vadose Zone J, 15, 11 pgs. (DOI: 10.2136/vzj2015.09.0122).
Couvreux, F., F. Guichard, P.H. Austin, and F. Chen, 2009: Nature of the Mesoscale Boundary Layer Height and Water Vapor Variability Observed 14 June 2002 during the IHOP_2002 Campaign. Mon Wea. Rev., 137, 414-432. (DOI: 10.1175/2008MWR2367.1).
Craig, R. L., and E. Levetin, 2000: Multi-year study of Ganoderma aerobiology. Aerobiologia, 16, 75-81. (DOI: 10.1023/A:1007682600175).
Craine J. M., E. G. Towne , A. Joern, and R. G. Hamilton, 2009: Consequences of climate variability for the performance of bison in tallgrass prairie. Global Change Biology, 15, 772-779. (DOI: 10.1111/j.1365-2486.2008.01769.x).
Crawford, P. H. and B. W. Hoagland, 2010: Using species distribution models to guide conservation at the state level: the endangered American burying beetle (Nicrophorus americanus) in Oklahoma. Journal of Insect Conservation, 14(5), 511-521. (DOI: 10.1007/s10841-010-9280-8).
Crawford, T. M., and C. E. Duchon, 1999: An improved parameterization for estimating effective atmospheric emissivity for use in calculating daytime downwelling longwave radiation. J. Appl. Meteor., 38, 474-480. (DOI: 10.1175/1520-0450(1999)038<0474:AIPFEE>2.0.CO;2).
Crawford, T. M., and H. B. Bluestein, 1997: Characteristics of dryline passage during COPS-91. Mon Wea. Rev., 125, 463-477. (DOI: 10.1175/1520-0493(1997)125<0463:CODPDC>2.0.CO;2).
Crawford, T. M., and H. B. Bluestein, 2000: An operational, diagnostic surface energy budget model. J. Appl. Meteor., 39, 1196-1217. (DOI: 10.1175/1520-0450(2000)039<1196:AODSEB>2.0.CO;2).
Crawford, T. M., D. J. Stensrud, F. Mora, J. W. Merchant, and P. J. Wetzel, 2001: Value of incorporating satellite-derived land cover data in MM5/PLACE for simulating surface temperatures. J. Hydrometeorol., 2, 453-468. (DOI: 10.1175/1525-7541(2001)002<0453:VOISDL>2.0.CO;2).
Crawford, T. M., D. J. Stensrud, T. N. Carlson, and W. J. Capehart, 2000: Using a soil hydrology model to obtain regionally averaged soil moisture values. J. Hydrometeorol., 1, 353-363. (DOI: 10.1175/1525-7541(2000)001<0353:UASHMT>2.0.CO;2).
Crose, J., M. Manucheri, and T. Baughman, 2021: Smallseed Falseflax (Camelina microcarpa) Management in Oklahoma Winter Wheat. Weed Technology, , 1-14. (DOI: 10.1017/wet.2021.51).
Crow W. T., and E. F. Wood, 2003: The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97. Advances in Water Resources, 26, 137-149. (DOI: 10.1016/S0309-1708(02)00088-X).
Crow, W. T., 2003: Correcting land surface model predictions for the impact of temporally sparse rainfall rate measurements using an ensemble Kalman filter and surface brightness temperature observations. J. Hydrometeorol., 4, 960-973. (DOI: 10.1175/1525-7541(2003)004<0960:CLSMPF>2.0.CO;2).
Crow, W. T., E. F. Wood, and M. Pan, 2003: Multi-objective calibration of land surface model evapotranspiration predictions using streamflow observations and spaceborn surface radiometric temperature retrievals. J. Geophys. Res., 108, 3292-3330. (DOI: 10.1029/2002JD003292).
Crow, W.T., and E. Van Loon, 2006: Impact of Incorrect Model Error Assumptions on the Sequential Assimilation of Remotely Sensed Surface Soil Moisture. J. Hydrometeor., 7, 421-432. (DOI: 10.1175/JHM499.1).
Cruz‐Blanco, M., C. Santos, P. Gavilán, and I. J. Lorite, 2015: Uncertainty in estimating reference evapotranspiration using remotely sensed and forecasted weather data under the climatic conditions of Southern Spain. International Journal of Climatology, 35(11), 3371-3384. (DOI: 10.1002/joc.4215).
Cui, Y., Xiao, X., B Doughty, R. B. Doughty, Y. Qin, S. Liu, N. Li, G. Zhao, and J. Dong, 2018: The relationships between urban-rural temperature difference and vegetation in eight cities of the Great Plains. Front. Earth Sci. , 2018, . (DOI: 10.1007/s11707-018-0729-5).
Cumba, H. J., and D. W. Hamilton, 2002: Liquid balance model for swine waste management systems using single-stage anaerobic lagoons. Transactions of the ASAE, 45, 973-981.
Cunha, L.K., P.V. Mandapaka, W. F. Krajewski, R. Mantilla and A. A. Bradley, 2012: Impact of radar‐rainfall error structure on estimated flood magnitude across scales: An investigation based on a parsimonious distributed hydrological model. Water Resources Research, 48(10), W10515. (DOI: 10.1029/2012WR012138).
Czajkowski, K. P., S. N. Goward, D. Shirey, and A. Walz, 2002: Thermal remote sensing of near-surface water vapor. Remote Sensing of Environment, 79(2-3), 253-265. (DOI: 10.1016/s0034-4257(01)00277-2).
Czaojkowski, K. P., S. N. Goward, S. J. Stadler, and A. Waltz, 2000: Thermal remote sensing of near surface environmental variables: an application over the Oklahoma Mesonet. The Professional Geographer, 52, 345-357. (DOI: 10.1111/0033-0124.00230).
Dahl, N., and M. Xue, 2016: Prediction of the 14 June 2010 Oklahoma City Extreme Precipitation and Flooding Event in a Multiphysics Multi-Initial-Conditions Storm-Scale Ensemble Forecasting System. Weather and Forecasting, 31(4), 1215-1246. (DOI: 10.1175/WAF-D-15-0116.1).
Damicone, J. P., K. E. Jackson, J. R. Sholar, and M. S. Gregory, 1994: Evaluation of a weather-based spray advisory for management of early leaf spot of peanut in Oklahoma. Peanut Science, 21, 115-121. (DOI: 10.3146/i0095-3679-21-2-10).
Daniels, B. and R. T. Melstrom, 2017: Examining Recreation Demand for Lakeshore Parks in Oklahoma: What is Causing the Downward Trend in Attendance?. Journal of Park & Recreation Administration, 35(2), 25-36.
Das, N. N., and B. P. Mohanty, 2006: Root zone soil moisture assessment using remote sensing and Vadose Zone modeling. Vadose Zone J., 5, 296-307. (DOI: 10.2136/vzj2005.0033).
Das, N.N., D. Entekhabi, Dunbar, R.S., A. Colliander, F. Chen, W. Crow, T.J. Jackson, A. Berg, D.D. Bosch, and Coauthors, 2018: The SMAP mission combined active-passive soil moisture product at 9 km and 3 km spatial resolutions. Remote Sensing of Environment, 211, 204-217. (DOI: 10.1016/j.rse.2018.04.011).
Das, N.N., D. Entekhabi, R. S. Dunbar, M. J. Chaubell, A. Colliander, S. Yueh, et al., 2019: The SMAP and Copernicus Sentinel 1A/B microwave active-passive highresolution surface soil moisture product. Remote Sensing of Environment, 233, 17 pp.. (DOI: 10.1016/j.rse.2019.111380).
Datta, S., M. Mehata, S. Taghvaeian, D. Moriasi, and P.J. Starks, 2021: Quantifying Water Fluxes of Irrigated Fields in an Agricultural Watershed in Oklahoma. Journal of Irrigation and Drainage Engineering, 147(7), p.04021026. (DOI: 10.1061/(ASCE)IR.1943-4774.0001570).
Datta, S., S. Taghvaeian,, T. Ochsner,, D. Moriasi,, P. Gowda, and J. Steiner, 2018: Performance Assessment of Five Different Soil Moisture Sensors under Irrigated Field Conditions in Oklahoma. Sensors, 18(11), 3786. (DOI: 10.3390/s18113786).
Dav, F., S. Alessandrini, S. Sperati, L.D. Monache, D. Airoldi, and M.T. Vespucci, 2016: Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting. Sol. Energy, 134 (2016), 327-338. (DOI: 10.1016/j.solener.2016.04.049).
Davò, F., S. Alessandrini, S. Sperati, L. Delle Monache, D. Airoldi, and M. T. Vespucci, 2016: Post-processing techniques and principal component analysis for regional wind power and solar irradiance forecasting. Solar Energy, 134, 327-338. (DOI: 10.1016/j.solener.2016.04.049).
Dawson, D. T., II, and M. Xue, 2006: Numerical forecasts of the 15-16 June 2002 Southern Plains severe MCS: Impact of mesoscale data and cloud analysis. Mon Wea. Rev., 134, 1607-1629. (DOI: 10.1175/MWR3141.1).
Dawson, D. T., M. Xue, J. A. Milbrandt, and A. Shapiro, 2015: Sensitivity of Real-data Simulations of the 3 May 1999 Oklahoma City Tornadic Supercell and Associated Tornadoes to Multi-moment Microphysics. Part I: Storm-and Tornado-scale Numerical Forecasts. Monthly Weather Review, 143, 2241-2265. (DOI: 10.1175/MWR-D-14-00279.1).
Dawson, D. T., M. Xue, J. A. Milbrandt, and M. K. Yau, 2010: Comparison of Evaporation and Cold Pool Development between Single-Moment and Multimoment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms. Monthly Weather Review, 138, 1152-1171. (DOI: 10.1175/2009MWR2956.1).
de Azevedo, G.B.H., B. Doyle, C. A. Fiebrich, and D. Schvartzman, 2022: The Impact of Environmental Variables on UAS-based Atmospheric Carbon Dioxide Measurements. Atmospheric Measurement Techniques, , 23 pp. (DOI: 10.5194/amt-2022-50).
De Jeu, R. A. M., and M. Owe, 2004: Further validation of a new methodology for surface moisture and vegetation optical depth retrieval. International Journal of Remote Sensing, 24, 4559-4578. (DOI: 10.1080/0143116031000095934).
De Meutter, P, L. Gerard, G. Smet, K. Hamid, R. Hamdi, D. Degrauwe, and P. Termonia, 2015: Predicting Small-Scale, Short-Lived Downbursts: Case Study with the NWP Limited-Area ALARO Model for the Pukkelpop Thunderstorm. Monthly Wea. Rev., 143, 742-756. (DOI: 10.1175/MWR-D-14-00290.1).
de Souza, C.H.L.,C.C. Fernandes Filho,R. S. Canny,N. Sharma,M. Saha,M. O. Wallau,W. Anderson,L. Baxter, et al., 2022: Unraveling Phenotypic Diversity in Cynodon spp. Germplasm for Forage Accumulation and Nutritive Value in the Transition Zone. Crop Science, , . (DOI: 10.1002/csc2.20871).
de Souza, C.H.L.,C.C. Fernandes Filho,R. S. Canny,N. Sharma,M. Saha,M. O. Wallau,W. Anderson,L. Baxter, et al., 2022: Phenotypic Diversity for Forage Accumulation and Nutritive Value in Bermudagrass. Crop Science, , . (DOI: 10.1002/csc2.20871).
Debnath, D., 2015: Can Carbon Credit Reduce Switchgrass Breakeven Price?. American Journal of Biomass and Bioenergy, 4(1), 10-27. (DOI: 10.7726/ajbb.2015.1002).
Debnath, D., A. L. Stoecker, and F. M. Epplin, 2014: Impact of environmental values on the breakeven price of switchgrass. Biomass and Bioenergy, 70, 184-195. (DOI: 10.1016/j.biombioe.2014.08.021).
Debnath, D., F. M. Epplin, and A. L. Stoecker, 2014: Managing spatial and temporal switchgrass biomass yield variability. Bioenerg. Res., 7, 946-957. (DOI: 10.1007/s12155-014-9436-6).
Debnath, D., F. M. Epplin, and A. L. Stroecker, 2015: Switchgrass procurement strategies for managing yield variability: Estimating the cost-efficient d (downtime cost) l (land to lease) frontier. Biomass & Bioenergy, 77, 110-122. (DOI: 10.1016/j.biombioe.2015.03.024).
Dee, J.R. and M. W. Palmer, 2019: Utility of herbaceous annual rings as markers of plant response to disturbance: A case study using roots of a common milkweed species of the US tallgrass prairie. Tree-Ring Research, 75(1), 14-24. (DOI: 10.3959/1536-1098-75.1.14).
DeLaune, P.B., P. Mubvumba, Y. Fan, and S. Bevers, 2020: Cover crop impact on irrigated cotton yield and net return in the southern Great Plains. Agronomy Journal, 112(2), 1049-1056. (DOI: 10.1002/agj2.20135).
DeLiberty, T. L., and D. R. Legates, 2003: Interannual and seasonal variability of modeled soil moisture in Oklahoma. International Journal of Climatology, 23, 1057-1086. (DOI: 10.1002/joc.904).
DeLiberty, T. L., D. R. Legates, 2008: Spatial Variability and Persistence of Soil Moisture in Oklahoma. Physical Geography, 29, 121-139. (DOI: 10.2747/0272-3646.29.2.121).
Demoz, B. B., D. O. Starr, K. D. Evans, A. R. Lare, D. N. Whiteman, G. Schwemmer, R. A. Ferrare, J. E. M. Goldsmith, and S. E. B, 2005: The cold front of 15 April 1994 over the Central United States. Part I: Observations. Mon Wea. Rev., 133 (6), 1525-1543. (DOI: 10.1175/MWR2932.1).
Dente, L., Z. Vekerdy, R. de Jeu, and Z. Su, 2013: Seasonality and autocorrelation of satellite-derived soil moisture products. Intl J. of Remote Sensing, 34:9-10, 3231-3247. (DOI: 10.1080/01431161.2012.716923).
Desai, A. R., K. J. Davis, C. J. Senff, S. Ismail, E. V. Browell, D. R. Stauffer, and B. P. Reen, 2005: A case study on the effects of heterogeneous soil moisture on mesoscale boundary-layer structure in the Southern Great Plains, U.S.A. Part I: Simple Prognostic Model. Boundary-Layer Meteorology, 119, 195-238. (DOI: 10.1007/s10546-005-9024-6).
DeSantis, R. D., S. W. Hallgren, T. B. Lynch, J. A. Burton, and M. W. Palmer, 2010: Long-term directional changes in upland Quercus forests throughout Oklahoma, USA. Journal of Vegetation Science, 21, 606-618. (DOI: 10.1111/j.1654-1103.2010.01168.x).
DeSantis, R.D., and S.W. Hallgren, 2011: Prescribed burning frequency affects post oak and blackjack oak regeneration. Southern J. of Appl. Forestry, 35(4), 193-198.
Dhakal, K., V. G. Kakani, and E. Linde, 2018: Climate Change Impact on Wheat Production in the Southern Great Plains of the US Using Downscaled Climate Data. Atmospheric and Climate Sciences, 8(02), 143. (DOI: 10.4236/acs.2018.82011).
Dhakal,K., V. Gopal Kakani, P. Wagle, and S. Sharma, 2022: Empirical Approach to Estimate Net Ecosystem Exchange Using High Frequency Mesonet Observations across Potential Switchgrass Establishment Landscapes in Oklahoma. Authorea, , . (DOI: 10.1002/essoar.10508573.1).
Dhillon, J. and W. Raun, 2020: Effect of topdress n rates applied based on growing degree days on winter wheat (Triticum aestivum L.) grain yield. Agron. J., , . (DOI: 10.1002/agj2.20265).
Dhillon, J.S., B.M. Figueiredo, E.M. Eickhoff, and W.R. Raun , 2020: Applied use of growing degree days to refine optimum times for nitrogen stress sensing in winter wheat. Soil Fertility & Crop Nutrition, , 1-13. (DOI: 10.1002/agj2.20007).
Dick, C. D., N. M. Thompson, F. M. Epplin, and D. B. Arnall, 2016: Managing Late-Season Foliar Nitrogen Fertilization to Increase Grain Protein for Winter Wheat. Agronomy Journal, 108(6), 2329-2338. (DOI: 10.2134/agronj2016.02.0106).
Ding, Y., M. J. Hayes, and M. Widhalm, 2011: Measuring economic impacts of drought: A review and discussion. Disaster Prevention and Management, 20(4), 434-446. (DOI:
Dipesh K. C., R. E. Will, T. C. Hennessey, T. B. Lynch, R. A. Heinemann, R. T. Holeman, and D. E. Wilson, 2015: Effects of simulated ice storm damage on midrotation loblolly pine stands. Forest Science, 61(4), 774-779. (DOI: 10.5849/forsci.14-060).
Dipesh, K. C., R. E. Will, T. C. Hennessey, and C. J. Penn, 2015: Evaluating performance of short-rotation woody crops for bioremediation purposes. New Forests, 46, 267-281. (DOI: 10.1007/s11056-014-9460-6).
Dodson, J.B., M. Colón Robles, J.E. Taylor, C.C. DeFontes, and K.L. Weaver, 2019: Eclipse Across America: Citizen Science Observations of the 21 August 2017 Total Solar Eclipse. J. Appl. Meteor. Climatol., , 58 pp. (DOI: 10.1175/JAMC-D-18-0297.1).
Dong, H., S. Thames, L. Liu, M. W. Smith, L. Yan, and Y. Wu, 2015: QTL mapping for reproductive maturity in lowland switchgrass populations. Bionergy Research, 8(4), 1925-1937. (DOI: 10.1007/s12155-015-9651-9).
Dong, J. and T. E. Ochsner, 2018: Soil Texture Often Exerts a Stronger Influence Than Precipitation on Mesoscale Soil Moisture Patterns. Water Resources Research, 54, 2199-2211. (DOI: 10.1002/2017WR021692).
Dong, J., M. Ek, D. Hall, C. Peters-Lidard, B. Cosgrove, J. Miller, G. Riggs and Y. Xia, 2014: Using Air Temperature to Quantitatively Predict the MODIS Fractional Snow Cover Retrieval Errors over the Continental United States. J. of Hydromet., 15, 551-562. (DOI: 10.1175/JHM-D-13-060.1).
Dong, J., M. Xue, and K. Droegemeier, 2011: The analysis and impact of simulated high-resolution surface observations in addition to radar data for convective storms with an ensemble Kalman filter. Meteor. And Atmos. Phys., 112 (1-2), 41-61. (DOI: 10.1007/s00703-011-0130-3).
Dong, J., S. C. Steele-Dunne, T. E. Ochsner, and N. van de Giesen, 2016: Estimating soil moisture and soil thermal and hydraulic properties by assimilating soil temperatures using a particle batch smoother. Advances in Water Resources, 91, 104-116. (DOI: 10.1016/j.advwatres.2016.03.008).
Dong, J., S. C. Steele-Dunne, T. E. Ochsner, and N. van de Giesen, 2016: Determining soil moisture and soil properties in vegetated areas by assimilating soil temperatures. Water Resour. Res., 52, 4280-4300. (DOI: 10.1002/2015WR018425).
Dong, J., S. C. Steele-Dunne, T. E. Ochsner, C. E. Hatch, C. Sayde, J. Selker, S. Tyler, M. Cosh, and N. van de Giesen, 2016: Mapping high‐resolution soil moisture and properties using distributed temperature sensing data and an adaptive particle batch smoother. Water Resour. Res., 52, 7690-7710. (DOI: 10.1002/2016WR019031).
Dong, J., T. E. Ochsner, M. Zreda, M. H. Cosh, and C. B. Zou, 2014: Calibration and validation of the COSMOS Rover for surface soil moisture measurement. Vadose Zone Journal, 13(4), 8 pg. (DOI: 10.2136/vzj2013.08.0148).
Dong, X., B. Xi, A. Kennedy, Z. Feng, J.K. Entin, P.R. Houser, R.A. Schiffler, T. L’Ecuyer, W.S. Olsen, K. Hsu, W.T. Liu, et al, 2011: Investigation of the 2006 drought and 2007 flood extremes at the Southern Great Plains through an integrative analysis of observations. J. of Geophys. Res., 116, D03204. (DOI: 10.1029/2010JD014776).
Dorigo, W.A., A. Gruber, R. A. M. De Jeu, W. Wagner, T. Stacke, A. Loew, C. Albergel, L. Brocca, and coauthors, 2015: Evaluation of the ESA CCI soil moisture product using ground-based observations. Remote Sensing of Environments, 162, 380-95. (DOI: 10.1016/j.rse.2014.07.023).
Doswell III, C. A., H. E. Brooks, and M. P. Kay, 2005: Climatological estimates of daily local nontornadic severe thunderstorm probability for the United States. Weather and Forecasting, 20(4), 577-595. (DOI: 10.1175/WAF866.1).
Doswell, C. A. III, and M. J. Haugland, 2007: A comparison of two cold fronts - Effects of the planetary boundary layer on the mesoscale. Electronic J. Severe Storms Meteor., 2, 1-12.
Doughty, R., X. Xiao,, X. Wu,, Y. Zhang,, R. Bajgain,, Y. Zhou,, Y. Qin,, Z. Zou,, H. McCarthy,, J. Friedman, and P. Wagle, 2018: Responses of gross primary production of grasslands and croplands under drought, pluvial, and irrigation conditions during 2010–2016, Oklahoma, USA. Agricultural Water Management, 204, 47-59. (DOI: 10.1016/j.agwat.2018.04.001).
Dowell, D.C., F. Zhang, L.J. Wicker, C. Snyder, and N.A. Crook, 2004: Wind and Temperature Retrievals in the 17 May 1981 Arcadia, Oklahoma, Supercell: Ensemble Kalman Filter Experiments. Mon. Wea. Rev., 132, 1982-2005. (DOI: 10.1175/1520-0493(2004)132<1982:WATRIT>2.0.CO;2).
Dronyk-Trosper, T., and B. Stitzel, 2020: Analyzing the Effect of Mandatory Water Restrictions on Water Usage. he B.E. Journal of Economic Analysis & Policy, 20(2), 20190137, . (DOI: 10.1515/bejeap-2019-0137).
Drusch, M, 2007: Initializing numerical weather prediction models with satellite-derived surface soil moisture: Data assimilation experiments with ECMWF's Integrated Forecast System and the TMI soil moisture data set. J. Geophys. Res., 112, D03102. (DOI:10.1029/2006JD007478).
Drusch, M, and P. Viterbo, 2007: Assimilation of Screen-Level Variables in ECMWF's Integrated Forecast System: A Study on the Impact on the Forecast Quality and Analyzed Soil Moisture. Mon Wea. Rev., 135, 300-314. (DOI: 0.1175/MWR3309.1).
Drusch, M., E. F. Wood, and H. Gao, 2005: Observation operators for the direct assimilation of TRMM microwave imager retrieved soil moisture. Geophysical Research Letters, 32, L15403. (DOI:10.1029/2005GL023623).
Drusch, M., E. F. Wood, and T. J. Jackson, 2001: Vegetative and atmospheric corrections for the soil moisture retrieval from passive microwave remote sensing data: Results from the Southern Great Plains Hydrology Experiment 1997. J. Hydrometeorol., 2, 181-192. (DOI: 10.1175/1525-7541(2001)002<0181:VAACFT>2.0.CO;2).
Dubois, J. A. and P. L. Spencer, 2005: Computing divergence from a surface network: Comparison of the triangle and pentagon methods. Dubois, J. A., & Spencer, P. L. , 20(4), 596-608. (DOI: 10.1175/WAF867.1).
Duchon, C. E., and G. R. Essenberg, 2001: Comparative rainfall observations from pit and aboveground rain gauges with and without wind shields. Water Resour. Res., 37, 3253-3264. (DOI: 10.1029/2001WR000541).
Duchon, C. E., and K. G. Hamm, 2006: Broadband Albedo Observations in the Southern Great Plains. J. Appl. Meteor. Climatol., 45, 210-235. (DOI: 10.1175/JAM2317.1).
Duchon, C. E., C. A. Fiebrich, and B. G. Illston, 2017: Observing the May 2015 Record Rainfall at Norman, Oklahoma, Using Various Methods. Journal of Hydrometeorology, 18:11, 3043-3049. (DOI: 10.1175/JHM-D-17-0137.1).
Duchon, C., C. Fiebrich, and D. Grimsley, 2014: Using High-Speed Photography to Study Undercatch in Tipping-Bucket Rain Gauges. J. Atmos. Oceanic Technol., 31, 1330-1336. (DOI: 10.1175/JTECH-D-13-00169.1).
Duchon, C.E. and M.S. O’Malley, 1999: Estimating Cloud Type from Pyranometer Observations. J. Appl. Meteor., 38, 132-141. (DOI: 10.1175/1520-0450(1999)038<0132:ECTFPO>2.0.CO;2).
Duda, J. D., X. Wang, and M. Xue, 2017: Sensitivity of Convection-Allowing Forecasts to Land Surface Model Perturbations and Implications for Ensemble Design. Mon. Wea. Rev., 145, 2001-2025. (DOI: 10.1175/MWR-D-16-0349.1).
Duda, J. D., X. Wang, F. Kong, and M. Xue, 2014: Using Varied Microphysics to Account for Uncertainty in Warm-Season QPF in a Convection-Allowing Ensemble. Monthly Weather Review, 142, 2198-2219. (DOI: 10.1175/MWR-D-13-00297.1).
Duell, R. S., and M. S. Van Den Broeke, 2016: Climatology, Synoptic Conditions, and Misanalyses of Mississippi River Valley Drylines. Monthly Weather Review, 144(3), 927-943. (DOI: 10.1175/MWR-D-15-0108.1).
Dunford, N. T., and J. Edwards, 2010: Nutritional bioactive components of wheat straw as affected by genotype and environment. Bioresource Technology, 101, 422-425. (DOI: 10.1016/j.biortech.2009.08.009).
Dunne, S., and D. Entekhabi, 2005: An ensemble-based reanalysis approach to land data assimilation. Water Resources Research, 41, W02013. (DOI: 10.1029/2004WR003449).
Dvorett, D., C. Davis, and M. Pape, 2016: Mapping and Hydrologic Attribution of Temporary Wetlands Using Recurrent Landsat Imagery. Wetlands, 36, 431. (DOIL 10.1007/s13157-016-0752-9).
Dvorett, D., J. Bidwell, C. Davis, and C. DuBois, 2013: Assessing Natural and Anthropogenic Variability in Wetland Structure for Two Hydrogeomorphic Riverine Wetland Subclasses. Environmental Management, 52(4), 1009-1022. (DOI: 10.1007/s00267-013-0140-7).
Edwards, J. T., B. F. Carver, and M. E. Payton, 2007: Relationship of first hollow stem and heading in wheat. Crop Sci., 47, 2074-2077. (DOI: 10.2135/cropsci2007.01.0057sc).
Edwards, R. and S.J. Hodanish, 2006: Photographic Documentation and Environmental Analysis of an Intense, Anticyclonic Supercell on the Colorado Plains. Mon. Wea. Rev., 134, 3753-3763. (DOI: 10.1175/MWR3296.1).
Edwards, R., J. T. Allen, and G. W. Carbin, 2018: Reliability and Climatological Impacts of Convective Wind Estimations. J. of Appl. Met. and Clim., 57, 1825-1845. (DOI: 10.1175/JAMC-D-17-0306.1).
Edwards, R., S. F. Corfidi, R. L. Thompson, J. S. Evans, J. P. Craven, J. P. Racy, D. W. McCarthy, and M. D. Vescio, 2002: Storm Prediction Center forecasting issues related to the 3 May 1999 tornado outbreak. Wea. Forecasting, 17, 544-558. (DOI: 10.1175/1520-0434(2002)017<0544:SPCFIR>2.0.CO;2).
Eguren, R. E., and K. McBee, 2013: New records of three species of bats from Nowata, Rogers, and Ottawa counties, Oklahoma. Proc. Okla. Acad. Sci, 93, 13-18.
Ehardt-Kistenmacher, C., H.R. McCarthy, and J.P. Gibson, 2019: Germination, Survival, and Establishment of a Rare Riparian Species Alnus maritima. Castanea, 84(2), 144-160. (DOI: 10.2179/0008-7475.84.2.144).
Elbing, B. R., C. E. Petrin, and M. S. Van Den Broeke, 2019: Measurement and characterization of infrasound from a tornado producing storm. Journal of the Acoustical Society of America, 146 (3), 1528-1540. (DOI: 10.1121/1.5124486).
Elbing, B.R., C.E. Petrin, and M.S. Van Den Broeke, 2018: Infrasound measurements from a tornado in Oklahoma. Proc. Mtgs. Acoust., 33, 045003. (DOI: 10.1121/2.0001015).
Elliott, R. L., F. V. Brock, M. L. Stone, and S. L. Harp, 1994: Configuration decisions for an automated weather station network. Applied Engineering in Agriculture, 10, 45-51.
Ellison, B., J. L. Lusk, and D. Davis, 2014: The effect of calorie labels on caloric intake and restaurant revenue: evidence from two full-service restaurants. Journal of Agricultural and Applied Economics, 46(2), 173-191. (DOI: 10.1017/S1074070800000729).
Elmore, K. L., and M. B. Richman, 2001: Euclidean distance as a similarity metric for principal component analysis. Mon Wea. Rev., 129, 540-549. (DOI: 10.1175/1520-0493(2001)129<0540:EDAASM>2.0.CO;2).
Elston, J., B. Argrow, M. Stachura, D. Weibel, D. Lawrence, and D. Pope, 2015: Overview of Small Fixed-Wing Unmanned Aircraft for Meteorological Sampling. J. Atmos. and Ocean. Tech., 32, 97-115. (DOI: 10.1175/JTECH-D-13-00236.1).
Endo, S., A. M. Frielind, W. Lind, A. M. Vogelmann, T. Toto, A. S. Ackerman, G. M. McFarquhar, R. C. Jackson, and coauthors, 2015: RACORO continental boundary layer cloud investigations: 2. Large-eddy simulations of cumulus clouds and evaluation with in-situ and ground-based observations. Journal of Geographysical Research: Atmospheres, 120(12), 5993-6014. (DOI: 10.1002/2014JD022525).
Engerer, N. A., D. J. Stensrud, and M. C. Coniglio, 2008: Surface Characteristics of Observed Cold Pools. Mon Wea. Rev., 136, 4839-4849. (DOI: 10.1175/2008MWR2528.1).
Enlow, H. K., G. A. Fox, T. A. Boyer, A. Stoecker, D. E. Storm, P. Starks and L. Guertault, 2018: A modeling framework for evaluating streambank stabilization practices for reach-scale sediment reduction. Environmental Modelling & Software, 100, 201-212. (DOI: 10.1016/j.envsoft.2017.11.010).
Erlingis, J. M., and A. P. Barros, 2014: A Study of the Role of Daytime Land–Atmosphere Interactions on Nocturnal Convective Activity in the Southern Great Plains during CLASIC. J. of Hydromet., 15, 1932-1953. (DOI: 10.1175/JHM-D-14-0016.1).
Esterheld, J. M., and D. J. Giuliano, 2008: Discriminating between Tornadic and Non-Tornadic Supercells: A New Hodograph Technique. E-Journal of Severe Storms Meteorology, 3, 1-50.
Estévez, J., P. Gavilán, and A. P. García-Marín, 2018: Spatial regression test for ensuring temperature data quality in southern Spain. Theoretical and Applied Climatology, 131, 309-318. (DOI: 10.1007/s00704-016-1982-8).
Fan, J., B.Han, A. Varble, H. Morrison, K. North, P. Kollias, B. Chen, X. Dong, S. E. Giangrande, A. Khain, and Y. Lin, 2017: Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts. Journal of Geophysical Research: Atmospheres, 122(17), 9351-9378. (DOI: 10.1002/2017JD026622).
Fang, B. and V. Lakshmi, 2014: Soil moisture at watershed scale: Remote sensing techniques. Journal of Hydrology, 516, 258-272. (DOI: 10.1016/j.jhydrol.2013.12.008).
Fang, B., V. Lakshmi, R. Bindlish, T. J. Jackson, M. Cosh, and J. Basara, 2013: Passive microwave soil moisture downscaling using vegetation index and skin surface temperature. Va, 12(3), . (DOI: 10.2136/vzj2013.05.0089).
Farahani, H.J., T. A. Howell, W. J. Shuttleworth, and W. C. Bausch, 2007: Evapotranspiration: progress in measurement and modeling in agriculture. Transactions of the ASABE, 50(5), 1627-1638. (DOI: 10.13031/2013.23965).
Fast, J.D. L. K. Berg, Z. Feng, F. Mei, R. Newsom, K. Sakaguchi, and H. Xiao, 2019: The Impact of Variable Land-Atmosphere Coupling on Convective Cloud Populations Observed During the 2016 HI-SCALE Field Campaign. Journal of Advances in Modeling Earth Systems, , 46 pp. (DOI: 10.1029/2019MS001727).
Fast, J.D., L.K. Berg, L. Alexander, D. Bell, E. D’Ambro, J. Hubbe, C. Kuang, J. Liu, C. Long, A. Matthews, F. Mei, et al., 2019: Overview of the HI-SCALE Field Campaign: A New Perspective on Shallow Convective Clouds. Bull. Amer. Meteor. Soc., 100, 821-840. (DOI: 10.1175/BAMS-D-18-0030.1).
Feldman, T.S., M.R. Morsy, and M.J. Roossinick, 2012: Are communities of microbial symbionts more diverse than communities of macrobial hosts?. Fungal Biology, 116(4), 465-477. (DOI: 10.1016/j.funbio.2012.01.005).
Feng, J. X. Cai, L. Chapman, Q. Wan, X. Xia, and Y. Gao, 2021: Characterising the nocturnal surface and canopy heat islands in Oklahoma City, USA according to the atmospheric stability. Urban Climate, 40, . (DOI: 10.1016/j.uclim.2021.101008).
Feng, Z., X. Dong, B. Xi, C. Schumacher, P. Minnis, and M. Khaiyer, 2011: Top-of-atmosphere radiation budget of convective core/stratiform rain and anvil clouds from deep convective systems. J. of Geophys. Res., 116, D23202. (DOI: 10.1029/2011JD016451).
Ferraro, R., and Q. Li, 2002: Detailed analysis of the error associated with the rainfall retrieved by the NOAA/NESDIS Special Sensor Microwave/Imager algorithm 2. Rainfall over land. J. Geophys. Res., 107, D23. (DOI: 10.1029/2001JD001172).
Fiebrich, C. A., 2003: Interesting ice accumulation on a cup anemometer during an Oklahoma ice storm. Bulletin of the American Meteorological Society, 84(5), 551-552.
Fiebrich, C. A., 2009: History of surface weather observations in the United States. Earth-Science Reviews, 93(3-4), 77-84. (DOI: 10.1016/j.earscirev.2009.01.001).
Fiebrich, C. A., and K. C. Crawford, 2001: The impact of unique meteorological phenomena detected by the Oklahoma Mesonet and ARS Micronet on automated quality control. Bull. Amer. Meteor. Soc., 82, 2173-2187. (DOI: 10.1175/1520-0477(2001)082<2173:TIOUMP>2.3.CO;2).
Fiebrich, C. A., and K. C. Crawford, 2009: Automation: A Step toward Improving the Quality of Daily Temperature Data Produced by Climate Observing Networks. J. Atmos. Oceanic Technol., 26, 1246-1260. (DOI: 10.1175/2009JTECHA1241.1).
Fiebrich, C. A., C. R. Morgan, A. G. McCombs, P. K. Hall, and R. A. McPherson, 2010: Quality Assurance Procedures for Mesoscale Meteorological Data. Journal of Atmospheric and Oceanic Technology, 27, 1565-1582. (DOI: 10.1175/2010JTECHA1433.1).
Fiebrich, C. A., D. L. Grimsley, R. A. McPherson, K. A. Kesler, and G. R. Essenberg, 2005: The value of routine site visits in managing and maintaining quality data from the Oklahoma Mesonet. J. Atmos. Oceanic Technol., 23, 406-416. (DOI: 10.1175/JTECH1852.1).
Fiebrich, C. A., J. E. Martinez, J. A. Brotzge, and J. B. Basara, 2003: The Oklahoma Mesonet's skin temperature network. J. Atmos. Oceanic Technol., 20, 1496-1504. (DOI: 10.1175/1520-0426(2003)020<1496:TOMSTN>2.0.CO;2).
Fiebrich, C.A., J.R. Ziolkowska, P.B. Chilson, and E.A. Pillar-Little, 2021: Potential Socio-Economic and Environmental Benefits and Beneficiaries of UAS Atmospheric Profiles from a 3D Mesonet. Weather, Climate, and Society, , . (DOI: 10.1175/WCAS-D-20-0118.1).
Fiebrich, C.A., K.R. Brinson; R. Mahmood; S.A. Foster; M. Schargorodski; N.L. Edwards; C.A. Redmond; J.R. Atkins, et al., 2020: Towards the Standardization of Mesoscale Meteorological Networks. J. Atmos. Oceanic Technol. , , 57 pp. (DOI: 10.1175/JTECH-D-20-0078.1).
Fierro, A.O., E.R. Mansell, C.L. Ziegler, and D.R. McGorman, 2012: Application of a Lightning Data Assimilation Technique in the WRF-ARW Model at Cloud-Resolving Scales for the Tornado Outbreak of 24 May 2011. Monthly Weat. Rev., 140, 2609-2627. (DOI: 10.1175/MWR-D-11-00299.1).
Fieser, B. G., G. W. Horn, J. T. Edwards, and E. G. Krenzer, Jr., 2006: Timing of grazing termination in dual-purpose winter wheat enterprises. Prof. Anim. Sci., 22, 210-216. (DOI: 10.15232/S1080-7446(15)31096-2).
Figueiredo, B., J. Dhillon, E. Eickhoff, E. Nambi, and W. Raun, 2020: Value of composite Normalized Difference Vegetative Index and growing degree days data in Oklahoma, 1999 to 2018. Agrosyst Geosci Environ, 3:e20013, . (DOI: 10.1002/agg2.20013).
Figueiredo, B., J. Dhillon, E. Eickhoff, E.Nambi and W. Raun, 2019: Value of composite NDVI and GDD data in Oklahoma, 1999 to 2018. Agrosyst. Geosci. Environ., , . (DOI: 10.1002/agg2.20013).
Finch, B., V. Reed, J. Williams, R. Sharry, and D. Arnall, 2022: Impact of in-furrow fertilizer on winter wheat grain yield and mineral concentration. The Journal of Agricultural Science, , 1-31. (DOI: 10.1017/S0021859622000557).
Fine, K. E., and J. C. Cole, 2013: Effect of Cottonseed Meal With or Without Soapstock, Canola Meal, or Urea on Soil Fertility and Growth of Marigold and Redbud. Journal of Plant Nutrition, 36(13), 1982-1995. (DOI: 10.1080/01904167.2013.770022).
Fisher, B. L., 2004: Climatological validation of TRMM TMI and PR monthly rain products over Oklahoma. J. Appl. Meteor., 43, 519-535. (DOI: 10.1175/1520-0450(2004)043<0519:CVOTTA>2.0.CO;2).
Flanagan, P.X., J. B. Basara, B. G. Illston and J. Otkin, 2017: The Effect of the Dryline and Convective Initiation on Drought Evolution Over Oklahoma During the 2011 Drought. Advances in Meteorology, 2017, 16 pgs. (DOI:10.1155/2017/8430743).
Flora, M.L., P.S. Skinner, C.K. Potvin, A.E. Reinhart, T.A. Jones, N. Yussouf, and K.H. Knopfmeier, 2019: Object-based verification of short-term, storm-scale probabilistic mesocyclone guidance from an experimentalWarn-on-Forecast system. Wea. Forecasting, , 51 pp. (DOI: 10.1175/WAF-D-19-0094.1).
Flournoy, M.D. and M.C. Coniglio, 2019: Origins of Vorticity in a Simulated Tornadic Mesovortex Observed during PECAN on 6 July 2015. Mon. Wea. Rev., 147, 107-134. (DOI: 10.1175/MWR-D-18-0221.1).
Fogarty, D. T., R. D. Elmore, S. D. Fuhlendorf, and S. R. Loss, 2017: Influence of olfactory and visual cover on nest site selection and nest success for grassland-nesting birds. Ecol Evol., 2017;00, 1-12. (DOI: 10.1002/ece3.3195).
Fontanier, C., J. Moss, L. Gopinath, C. Goad, K. Su, and Y. Wu, 2020: Lipid Composition of Three Bermudagrasses in Response to Chilling Stress. J. Amer. Soc. Hort. Sci., , 1-9. (DOI: 10.21273/JASHS04815-19).
Ford, T. and C. F. Labosier, 2014: Spatial patterns of drought persistence in the Southeastern United States. Int. J. Climatol., 34, 2229-2240. (DOI: 10.1002/joc.3833).
Ford, T. W., A. D. Rapp, and S. M. Quiring, 2014: Does Afternoon Precipitation Occur Preferentially Over Dry or Wet Soils in Oklahoma?. J. of Hydromet., 16, 874-888. (DOI: 10.1175/JHM-D-14-0005.1).
Ford, T. W., A. D. Rapp, S. M. Quiring, and J. Blake, 2015: Soil moisture–precipitation coupling: observations from the Oklahoma Mesonet and underlying physical mechanisms. Hydrol. Earth Syst. Sci., 19, 3617-3631. (DOI: 10.5194/hess-19-3617-2015).
Ford, T. W., and S. M. Quiring, 2013: Influence of MODIS-Derived Dynamic Vegetation on VIC-simulated Soil Moisture in Oklahoma. J. of Hydromet., 14.6, 1910-1921. (DOI: 10.1175/JHM-D-13-037.1).
Ford, T. W., and S. M. Quiring, 2014: Comparison and application of multiple methods for temporal interpolation of daily soil moisture. Intl. J. of Clim., 34, 2604-2621. (DOI: 10.1002/joc.3862).
Ford, T. W., and S. M. Quiring, 2014: In situ soil moisture coupled with extreme temperatures: A study based on the Oklahoma Mesonet. Geophysical Research Letters, 41, 4727-4734. (DOI: 10.1002/2014GL060949).
Ford, T. W., and S.M. Quiring, 2019: Comparison of contemporary in situ, model, and satellite remote sensing soil moisture with a focus on drought monitoring. Water Resources Research, 55, 1565– 1582. (DOI: 10.1029/2018WR024039).
Ford, T. W., C. O. Wulff, and S. M. Quiring, 2014: Assessment of observed and model‐derived soil moisture‐evaporative fraction relationships over the United States Southern Great Plains. J. Geophys. Res. Atmos., 119, 6279-6291. (DOI: 10.1002/2014JD021490).
Ford, T. W., D. B. McRoberts, S. M. Quiring, and R. E. Hall, 2015: On the utility of in situ soil moisture observations for flash drought early warning in Oklahoma, USA. Geophysical Research Letters, 42(22), 9790-9798. (DOI: 10.1002/2015GL066600).
Ford, T. W., E. Harris, and S. M. Quiring, 2014: Estimating root zone soil moisture using near-surface observations from SMOS. Hydrol. Earth Syst. Sci., 18, 139-154. (DOI: 10.5194/hess-18-139-2014).
Ford, T. W., Q. Wang, and S. M. Quiring, 2016: The Observation Record Length Necessary to Generate Robust Soil Moisture Percentiles. J. Appl. Metr. and Clim., 55, 2131-2149. (DOI: 10.1175/JAMC-D-16-0143.1).
Ford, T. W., S. M. Quiring, and O. W. Frauenfeld, 2017: Multi‐decadal variability of soil moisture–temperature coupling over the contiguous United States modulated by Pacific and Atlantic sea surface temperatures. Int. J. Climatol., 37, 1400-1415. (DOI: 10.1002/joc.4785).
Ford, T. W., S. M. Quiring, C. Zhao, Z. T. Leasor, and C. Landry, 2020: Triple Collocation Evaluation of In Situ Soil Moisture Observations from 1,200+ Stations as part of the U.S. National Soil Moisture Network. J. Hydrometeor., , . (DOI: 10.1175/JHM-D-20-0108.1).
Ford, T. W., S. M. Quiring, O. W. Frauenfeld, and A. D. Rapp, 2015: Synoptic conditions related to soil moisture-atmosphere interactions and unorganized convection in Oklahoma. Journal of Geophysical Research: Atmospheres, 120(11), 519-535. (DOI: 10.1002/2015JD023975).
Ford, T.W., S.M. Quiring, B.Thakur, R. Jogineedi, A. Houston, S. Yuan, A. Kalra, and N. Lock, 2018: Evaluating Soil Moisture–Precipitation Interactions Using Remote Sensing: A Sensitivity Analysis. J. of. Hydromet., 19, 1237-1253. (DOI: 10.1175/JHM-D-17-0243.1).
Forman, B. A., and S. A. Margulis, 2009: High-resolution satellite-based cloud-coupled estimates of total downwelling surface radiation for hydrologic modelling applications. Hydrol. Earth Syst. Sci. Discuss., 6, 3041-3087.
Forman, B. A., and S. A. Margulis, 2010: Assimilation of multiresolution radiation products into a downwelling surface radiation model: 1. Prior ensemble implementation. Geophys. Res., 115, D22115. (DOI: 10.1029/2010JD013920).
Forman, B.A., and S.A. Margulis, 2012: Impact of Covariance Localization on Ensemble Estimation of Surface Downwelling Longwave and Shortwave Radiation Fluxes. J. of Hydromet., 13, 1301-1316. (DOI: 10.1175/JHM-D-11-073.1).
Foye, S., C. M. Greenwood, K. Masloski, and M. Payton, 2015: Ground-dwelling arthropod communities related to nesting success of northern bobwhite at two western Oklahoma wildlife management areas. Southwestern Entomologist, 40(3), 463-478.
Frame, J., P. Markowski, Y. Richardson, J. Straka, and J. Wurman, 2009: Polarimetric and Dual-Doppler Radar Observations of the Lipscomb County, Texas, Supercell Thunderstorm on 23 May 2002. Mon Wea. Rev., 137, 544-561. (DOI: 10.1175/2008MWR2425.1).
Frederick, N. M. Li, D. J. Carrier, M. D. Buser, and M. R. Wilkins, 2016: Switchgrass storage effects on the recovery of carbohydrates after liquid hot water pretreatment and enzymatic hydrolysis. AIMS Bioengineering, 3(3), 389-399. (DOI: 10.3934/bioeng.2016.3.389).
Freiberger, R. P., D. M. Heeren, D. E. Eisenhauer, A.R. Mittlestet, and G. A. Baigorria, 2018: Tradeoffs in model performance and model effort for long-term phosphorus leaching based on in-situ field data. Vadose Zone J., 17:170216, 1-39. (DOI: 10.2136/vzj2017.12.0216).
French, M. M., D. W. Burgess, E. R. Mansell, and L. J. Wicker, 2014: Bulk Hook Echo Raindrop Sizes Retrieved Using Mobile, Polarimetric Doppler Radar Observations. J. Appl. Metr. and Clim., 54, 423-450. (DOI: 10.1175/JAMC-D-14-0171.1).
Friedrich, K., D.E. Kingsmill, C. Flamant, H.V. Murphey, and R.M. Wakimoto, 2008: Kinematic and Moisture Characteristics of a Nonprecipitating Cold Front Observed during IHOP. Part I: Across-Front Structures. Mon Wea. Rev., 136, 147-172. (DOI: 10.1175/2008MWR2360.1).
Fu, X., L. Luo, M. Pan, Z. Yu, Y. Tang, and Y. Ding, 2018: Evaluation of Topmodel-based Land Surface-Atmosphere Transfer Scheme (TOPLATS) through a soil moisture simulation. Earth Interact, , In Press. (DOI: 10.1175/EI-D-17-0037.1).
Fuhlendorf, S. D., D. M. Engle, C. M. O'Meilia, J. R. Weir, and D. C. Cummings, 2009: Does herbicide weed control increase livestock production on non-equilibrium rangeland?. Agriculture, Ecosystems and Environment, 132, 1-6. (DOI: 10.1016/j.agee.2009.02.015).
Gagne, D. J., A. McGovern, J. B. Basara, and R .A. Brown, 2012: Tornadic Supercell Environments Analyzed Using Surface and Reanalysis Data: A Spatiotemporal Relational Data-Mining Approach. J. Appl. Meteor. Climatol., 51, 2203-2217. (DOI: 10.1175/JAMC-D-11-060.1).
Gagne, D. J., A. McGovern, S. E. Haupt and J. K. Williams, 2017: Evaluation of statistical learning configurations for gridded solar irradiance forecasting. Solar Energy, 150, 383-393. (DOI: 10.1016/j.solener.2017.04.031).
Galantowicz, J. F., D. Entekhabi, and E. G. Njoku, 1999: Tests of sequential data assimilation for retrieving profile soil moisture and temperature from observed L-band radiobrightness. IEEE Transactions on Geoscience and Remote Sensing, 37, 1860-1870. (DOI: 10.1109/36.774699).
Galarneau, T.J., L.F. Bosart, C.A. Davis, and R. McTaggart-Cowan, 2009: Baroclinic Transition of a Long-Lived Mesoscale Convective Vortex. Mon Wea. Rev., 137, 562-584. (DOI: 10.1175/2008MWR2651.1).
Galbraith, H. S., D. E. Spooner, and C. C. Vaughn, 2010: Synergistic effects of regional climate patterns and local water management on freshwater mussel communities. Biological Conservation, 143, 1175-1183. (DOI: 10.1016/j.biocon.2010.02.025).
Gallo, B. T., A.J. Clark, I. Jirak, J.S. Kain, S.J. Weiss, M. Coniglio, K. Knopfmeier, J. Correia, C.J. Melick, and Coauthors, 2017: Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment. Wea. Forecasting, 32, 1541–1568. (DOI: 10.1175/WAF-D-16-0178.1).
Galván, I. M., J. M. Valls, A. Cervantes, and R. Aler, 2017: Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks. Information Sciences, 418, 363-382. (DOI: 10.1016/j.ins.2017.08.039).
Gao, H., E. F. Wood, M. Drusch, W. Crow, and T. J. Jackson, 2004: Using a microwave emission model to estimate soil moisture from ESTAR observations during SGP99. J. Hydrometeorol., 5, 49-63. (DOI: 10.1175/1525-7541(2004)005<0049:UAMEMT>2.0.CO;2).
Gao, H., E. F. Wood, T. J. Jackson, M. Drusch, and R. Bindlish, 2006: Using TRMM/TMI to retrieve surface soil moisture over the Southern United States from 1998 to 2002. J. Hydrometeor., 7, 23-38. (DOI: 10.1175/JHM473.1).
Gao, W., R. L. Coulter, B. M. Lesht, J. Qiu, and M. L. Wesely, 1998: Estimating clear-sky regional surface fluxes in the Southern Great Plains Atmospheric Radiation Measurement site with ground measurements and satellite observations. J. Appl. Meteor., 37, 5-22. (DOI: 10.1175/1520-0450(1998)037<0005:ECSRSF>2.0.CO;2).
Garbrecht, J. D, R. Gyawali, R. W. Malone, and J. C. Zhang, 2017: Cascade Rainfall Disaggregation Application in U.S. Central Plains. Environment and Natural Resources Research, 7 (4), 30-43. (DOI: 10.5539/enrr.v7n4p30).
Garbrecht, J. D. and X. C. Zhang, 2015: Soil erosion from winter wheat cropland under climate change in central Oklahoma. Applied Engineering in Agriculture, 31(3), 439-454. (DOI: 10.13031/aca31.10998).
Garbrecht, J. D., M. A. Nearing, J. X. C. Zhang, and J. L. Steiner, 2016: Uncertainty of climate change impacts on soil erosion from cropland in central Oklahoma. Applied Engineering in Agriculture, 32(6), 823-836. (DOI: 10.13031/aea.32.11613).
Garbrecht, J. D., X. C. Zhang, and J. L. Steiner, 2014: Climate change and observed climate trends in the Fort Cobb experimental watershed. Journal of Environmental Quality, 43(4), 1319-1327. (DOI: 10.2134/jeq2013.07.0286).
Garbrect, J. D. and J M. Schneider, 2008: Case study of multi-year precipitation variations and the hydrology of Fort Cobb reservoir. Journal of Hydrolic Engineering, 13, 64-70. (DOI: 10.1061/(ASCE)1084-0699(2008)13:2(64)).
Gasperoni, N. A., M. Xue, R. D. Palmer, and J. Gao, 2013: Sensitivity of Convective Initiation Prediction to Near-Surface Moisture When Assimilating Radar Refractivity: Impact Tests Using OSSEs. J. Atmos. Oceanic Technol., 30, 2281-2302. (DOI:
Gasperoni, N.A., X. Wang, K.A. Brewster, and F.H. Carr, 2018: Assessing Impacts of the High-Frequency Assimilation of Surface Observations for the Forecast of Convection Initiation on 3 April 2014 within the Dallas–Fort Worth Test Bed. Mon. Wea. Rev., 146, 3845-3872. (DOI: 10.1175/MWR-D-18-0177.1).
Ge, J., 2010: MODIS observed impacts of intensive agriculture on surface temperature in the southern Great Plains. International Journal of Climatology, 30, 1994-2003. (DOI: 10.1002/joc.2093).
Gebauer, J.G. and A. Shapiro, 2019: Clarifying the baroclinic contribution to the Great Plains low-level jet frequency maximum. Mon. Wea. Rev., , . (DOI: 10.1175/MWR-D-19-0024.1).
Geerts, B. R. Damiani, and S. Haimov, 2006: Finescale vertical structure of a cold front as revealed by an airborne Doppler radar. Mon Wea. Rev., 134, 251-271. (DOI: 10.1175/MWR3056.1).
Genton, M. G., S. A. Padoan, and H. Sang, 2015: Multivariate max-stable spatial processes. Biometrika, 102(1), 215-230. (DOI: 10.1093/biomet/asu066).
Georgakakos, K. P., and T. M. Carpenter, 2006: Potential value of operationally available and spatially distributed ensemble soil water estimates for agriculture. J. Hydrology, 328, 177-191. (DOI: 10.1016/j.jhydrol.2005.12.018).
George, A. D., T. J. O’Connell, K. R. Hickman, and D. M. Leslie Jr, 2013: Use of seeded exotic grasslands by wintering birds. Prairie Naturalist, 45, 77-83.
Ghaith, A. F., and F. M. Epplin, 2017: Consequences of a carbon tax on household electricity use and cost, carbon emissions, and economics of household solar and wind. Energy Economics, 67, 159-168. (DOI: 10.1016/j.eneco.2017.08.012).
Ghaith, A. F., F. M. Epplin, and R. S. Frazier, 2017: Economics of grid-tied household solar panel systems versus grid-only electricity. Renewable and Sustainable Energy Reviews, 76, 407-424. (DOI: 10.1016/j.rser.2017.02.079).
Ghaith, A. F., F. M. Epplin, and R. S. Frazier, 2017: Economics of household wind turbine grid-tied systems for five wind resource levels and alternative grid pricing rates. Renewable Energy, 109, 155-167. (DOI: 10.1016/j.renene.2017.03.033).
Ghan, S. J., J. C. Liljegren, W. J. Shaw, J. H. Hubbe, and J. C. Doran, 1997: Influence of subgrid variability on surface hydrology. J. Climate, 10, 3157-3166. (DOI: 10.1175/1520-0442(1997)010<3157:IOSVOS>2.0.CO;2).
Ghan, S. J., L. R. Leung, and J. McCaan, 1999: A comparison of three different modeling strategies for evaluating cloud and radiation parameterizations. Mon Wea. Rev., 127, 1967-1984. (DOI: 10.1175/1520-0493(1999)127<1967:ACOTDM>2.0.CO;2).
Gharibdousti S.R., G. Kharel, and A. Stoecker, 2019: Modeling the impacts of agricultural best management practices on runoff, sediment, and crop yield in an agriculture-pasture intensive watershed. PeerJ, , e7093. (DOI: 10.7717/peerj.7093).
Ghos, S., S.A. Ali, M. Zaman, et al. , 2021: Evaluation of Transverse Cracking in Flexible Pavements Using Field Investigation and AASHTOWare Pavement ME Design. Int. J. Pavement Res. Technol., , . (DOI: 10.1007/s42947-021-00037-x).
Giangrande, S. E. and A. V. Ryzhkov, 2008: Estimation of Rainfall Based on the Results of Polarimetric Echo Classification. J. Appl. Meteor. Climatol., 47, 2445–2462. (DOI: 10.1175/2008JAMC1753.1 ).
Giangrande, S. E., S. Collis, A. K. Theisen, and A. Tokay, 2014: Precipitation estimation from the ARM distributed radar network during the MC3E campaign. J. Appl. Metr. and Clim., 53(9), 2130-2147. (DOI: 10.1175/JAMC-D-13-0321.1).
Gillespie, C.J., D.A. Marburger, B.F. Carver, H. Zhang, 2020: Closely related winter wheat cultivar performance in U.S. Great Plains acid soils. Agronomy Journal, 112, 3704-3717. (DOI:10.1002/agj2.20329).
Gillham, O., 1997: Warnings, watches, and ... stench alerts? Meteorology and hog farming in Oklahoma. Weatherwise, 50, 66. (DOI: 10.1080/00431672.1997.9926070).
Gillum, S.J., and E. Levetin, 2008: The air spora close to a compost facility in Northeast Oklahoma: Part I—spore trap sampling. Aerobiologia, 24, 3-12. (DOI: 10.1007/s10453-007-9074-y).
Girma, K., S. L. Holtz, D. B. Arnall, L. M. Fultz, T. L. Hanks, K. D. Lawles, C. J. Mack, K. W. Owen, S. D. Reed, and Coauthors, 2007: Weather, Fertilizer, Previous Year Yield, and Fertilizer Levels Affect Ensuing Year Fertilizer Response of Wheat. Agron. J., 99, 1607-1614. (DOI: 10.2134/agronj2007.0030).
Godfrey, C. M., and D. J. Stensrud, 2010: An Empirical Latent Heat Flux Parameterization for the Noah Land Surface Model. Journal of Applied Meteorology and Climatology, 49, 1696-1713. (DOI: 10.1175/2010JAMC2180.1).
Godfrey, C.M., and D.J. Stensrud, 2008: Soil Temperature and Moisture Errors in Operational Eta Model Analyses. J. Hydrometeor., 9, 367-387. (DOI: 10.1175/2007JHM942.1).
Godsey, C. B., J. Vitale, J. P. Damicone, J. R. Sholar, J. Nickels, and J. Baker, 2007: Rotational effects in Oklahoma peanut production: Prospects for peanut rotations in the post-quota era. Agron. J., 99, 1238-1244. (DOI: 10.2134/agronj2006.0315).
Godsey, C.B., J. Linneman, D. Bellmer, and R. Huhnke, 2012: Developing Row Spacing and Planting Density Recommendations for Rainfed Sweet Sorghum Production in the Southern Plains. Agronomy Journal, 104 (2), 280-286. (DOI: 10.2134/agronj2011.0289).
Goldstein, J. C., and A. Tarhule, 2015: Evaluating the impacts of climate change and switchgrass production on a semiarid basin. Hydrol. Process., 29, 724-738. (DOI: 10.1002/hyp.10159).
Gong, H. and C. L. Rogers, 2014: Does Voter Turnout Influence School Bond Elections?. Southern Economic Journal, 81 (1), 247-262. (DOI: 10.4284/0038-4038-2013.061).
Gourley, J. J., and B. E. Vieux, 2005: A method for evaluating the accuracy of quantitative precipitation estimates from a hydrologic modeling perspective. J. Hydrometeor., 6, 115-133. (DOI: 10.1175/JHM408.1).
Gourley, J. J., and B. E. Vieux, 2006: A method for identifying sources of model uncertainty in rainfall-runoff simulations. J. Hydrology, 327, 68-80. (DOI: 10.1016/j.jhydrol.2005.11.036).
Gourley, J.J., Y. Hong, Z.L. Flamig, J. Wang, H. Vergara, and E.N. Anagnostou, 2011: Hydrologic Evaluation of Rainfall Estimates from Radar, Satellite, Gauge, and Combinations on Ft. Cobb Basin, Oklahoma. J. Hydrometeor, 12, 973-988. (DOI: 10.1175/2011JHM1287.1).
Gouweleeuw, B.T., A.I.J.M. van Dijk, J.P. Guerschmann, P. Dyce, and M. Owe, 2012: Space-based passive microwave soil moisture retrievals and the correction for a dynamic open water fraction. Hydrol. Earth Syst. Sci., 16, 1635-1645. (DOI: 10.5194/hess-16-1635-2012).
Gouzaye, A. and F. M. Epplin, 2016: Land requirements, feedstock haul distance, and expected profit response to land use restrictions for switchgrass production. Energy Economics, 58, 59-66. (DOI: 10.1016/j.eneco.2016.06.019).
Gouzaye, A. and F. M. Epplin, 2016: Restricting Second-Generation Energy Crop Production to Marginal Land. BioEnergy Research, 9(1), 257-269. (DOI: 10.1007/s12155-015-9689-8).
Grantham, R. A., P. G. Mulder, G. W. Cuperus, and J. D. Carlson, 2002: Evaluation of pecan nut casebearer Acrobasis nuxvorella (Lepidoptera: Pyralidae) prediction models using pheromone trapping. Environ. Entomol., 31, 1062-1070. (DOI: 10.1603/0046-225X-31.6.1062).
Grassotti, C., R. N. Hoffman, E. R. Vivoni, and D. Entekhabi, 2003: Multiple-Timescale Intercomparison of Two Radar Products and Rain Gauge Observations over the Arkansas–Red River Basin. Wea. Forecasting, 18, 1207-1229. (DOI: 10.1175/1520-0434(2003)018<1207:MIOTRP>2.0.CO;2).
Graybeal, D.Y., A.T. DeGaetano, and K.L. Eggleston, 2004: Improved Quality Assurance for Historical Hourly Temperature and Humidity: Development and Application to Environmental Analysis. J. Appl. Meteor., 43, 1722-1735. (DOI: 10.1175/JAM2162.1).
Greene, B. R., A. R. Segales, S. Waugh, S. Duthoit, and P. B. Chilson, 2018: Considerations for temperature sensor placement on rotary-wing unmanned aircraft systems. Atmospheric Measurement Techniques, 11, 5519-5530. (DOI: 10.5194/amt-11-5519-2018).
Greene, B.R., A.R. Segales, T.M. Bell, E.A. Pillar-Little, and P.B. Chilson, 2019: Environmental and sensor integration influences on temperature measurements by rotary-wing unmanned aircraft systems. Sensor, 19(6), 1470. (DOI: 10.3390/s19061470).
Greene, J. S., and E. Maxwell, 2007: Climatic impacts on winter wheat in Oklahoma and potential applications to climatic and crop yield prediction. International Journal of Biometeorology, 52, 117-126. (DOI: 10.1007/s00484-007-0104-9).
Greene, J. S., W. E. Cook, D. Knapp, and P. Haines, 2002: An examination of the uncertainty in interpolated winds and its effect on the validation and intercomparison of forecast models. J. Atmos. Oceanic Technol., 19, 397-401. (DOI: 10.1175/1520-0426-19.3.397).
Griffin, A., B. Hoagland, and K. Kuklinski, 2020: Relationship Between Water Quality and Relative Weight of Four Sportfish Species in Oklahoma Impoundments. Journal of the Southeastern Association of Fish and Wildlife Agencies, 7, 134–143.
Griffin, A.D., R.A. Snow, and M.J. Porta, 2021: Population characteristics and potential factors influencing recruitment variability of blue catfish, channel catfish and flathead catfish in Thunderbird Reservoir, Oklahoma. Lakes and Reservoirs, , 11 pp. (DOI: 10.1111/lre.12390).
Griffin, E. M., T. J. Schuur, D. R. MacGorman, M. R. Kumjian, and A. O. Fierro, 2014: An electrical and polarimetric analysis of the overland reintensification of Tropical Storm Erin (2007). Monthly Weather Review, 142, 2321-2344. (DOI: 10.1175/MWR-D-13-00360.1).
Griffith, A.P., F.M. Epplin, S.D. Fuhlendorf, and R. Gillen, 2011: A Comparison of Perennial Polycultures and Monocultures for Producing Biomass for Biorefinery Feedstock. Agronomy Journal, 103(3), 617-627. (DOI: 10.2134/agronj2010.0336).
Gu, Y., E. Hunt, B. Wardlow, J. B. Basara, J. F. Brown, and J. P. Verdin, 2008: Evaluation and validation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture data. Geophys. Res. Lett., 35, L22401. (DOI: 10.1029/2008GL035772).
Guertault, L. and G.A. Fox, 2018: Impact of data availability and resolution on long-term sedimentation estimates in a storage reservoir. Journal of Hydrologic Engineering, 23(10), p.05018019. (DOI: 10.1061/%28ASCE%29HE.1943-5584.0001699).
Guo X, Zhou, L.Hale, M. Yuan, J. Feng, Ning, Z.Shi, Y. Qin, F. Liu, L. Wu, Z. He, J.D. Van Nostrand, X.Liu, Y.Luo, and Coauthors, 2018: Taxonomic and Functional Responses of Soil Microbial Communities to Annual Removal of Aboveground Plant Biomass. Front. Microbiol., 9:954, . (DOI: 10.3389/fmicb.2018.00954).
Guo, X., Gao, Q., Yuan, M. et al., 2020: Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming. Nat Commun., 11, 4897. (DOI: 10.1038/s41467-020-18706-z).
Guo, Y. R., Y. H. Kuo, J. Dudhia, D. Parsons, and C. Rocken, 2000: Four-dimensional variational data assimilation of heterogeneous mesoscale observations for a strong convective case. Mon Wea. Rev., 128, 619-643. (DOI: 10.1175/1520-0493(2000)128<0619:FDVDAO>2.0.CO;2).
Guretzky, J., M. Kering, J. Mosali, E. Funderburg, and J. Biermacher, 2010: Fertilizer rate effects on forage yields stability and nutrient uptake of midland bermudagrass. Journal of Plant Nutrition, 33, 1819-1834. (DOI: 10.1080/01904167.2010.503831).
Gurjinder S.B., B.K. Northup, C.R. Srinivas, and V.G. Kakani,, 2021: Productivity and water use in intensified forage soybean-wheat cropping systems of the US southern Great Plains. Field Crops Research, 265, . (DOI: 10.1016/j.fcr.2021.108086).
Gusev, E. M., O. N. Nasonova, and B. P. Mohanty, 2004: Estimation of radiation, heat, and water exchange between steppe ecosystems and the atmosphere in the SWAP model. IzvestiyaAtmospheric and Oceanic Physics, 40, 291-305.
Guzman, J. A., D. N. Moriasi, P. H. Gowda, J. L. Steiner, P. J. Starks, J. G. Arnold, and R. Srinivasan, 2015: A model integration framework for linking SWAT and MODFLOW. Environmental Modelling & Software, 73, 103-116. (DOI: 10.1016/j.envsoft.2015.08.011).
Guzman, J. A., M. L. Chu, J. L. Steiner, and P. J. Starks, 2018: Assessing and quantifying changes in precipitation patterns using event-driven analysis. Journal of Hydrology: Regional Studies, 15, 1-15. (DOI: 10.1016/j.ejrh.2017.11.006).
Guzman, J.A., M. L. Chu, P. J. Starks, D. N. Moriasi, D. N., J. L. Steiner, C. A. Fiebrich, and A. G. McCombs, 2014: Upper Washita River experimental watersheds: Data screening procedure for data quality assurance. Journal of Environmental Quality, 43(4), 1250-1261. (DOI: 10.2134/jeq2013.08.0325).
Haankuku, C., F. M. Epplin, and V. G. Kakani, 2015: Industrial sugar beets to biofuel: Field to fuel production system and cost estimates. Biomass and Bioenergy, 80, 267-277. (DOI: 10.1016/j.biombioe.2015.05.027).
Haghi, K. R., D. B. Parsons, and A. Shapiro, 2017: Bores Observed during IHOP_2002: The Relationship of Bores to the Nocturnal Environment. Mon. Wea. Rev., 145, 3929-3946. (DOI: 10.1175/MWR-D-16-0415.1).
Hain, C. R., J. R. Mecikalski, and M. C. Anderson, 2009: Retrieval of an Available Water-Based Soil Moisture Proxy from Thermal Infrared Remote Sensing. Part I: Methodology and Validation. J. Hydrometeor., 10, 665-683. (DOI: 10.1175/2008JHM1024.1).
hakal, K, V.G. Kakani, T.E. Ochsner, and S. Sharma, 2020: Constructing retrospective gridded daily weather data for agro‐hydrological applications in Oklahoma. Agrosyst Geosci Environ., 3:e20072, . (DOI: 10.1002/agg2.20072).
Hale, R. C., and C. E. Duchon, 2003: Use of AVHRR-derived surface temperatures in evaluating a land-atmosphere model. International Journal of Remote Sensing, 224, 4527-4541. (DOI: 10.1080/0143116031000070391).
Halihan, T., R. B. Miller, D. Correll, D. M. Heeren, and G. A. Fox, 2019: Field Evidence of a Natural Capillary Barrier in a Gravel Alluvial Aquifer. Vadose Zone Journal, , . (DOI: 10.2136/vzj2018.01.0008).
Hand, L. M. and J. M. Shepherd, 2009: An Investigation of Warm-Season Spatial Rainfall Variability in Oklahoma City: Possible Linkages to Urbanization and Prevailing Wind. J. Appl. Meteor. Climatol., 48, 251-269. (DOI: 10.1175/2008JAMC2036.1).
Harrelson, P.L., R. Martin, B. Rogers, and F.W. Harrelson, 2020: Impact of a Hydrolyzed Yeast Product on Performance, Hair Coat Shedding, and Behavior of Cows Grazing Pastures Containing Endophyte-Infected Tall Fescue. Journal of Animal Science, 98 (2), 63. (DOI: 10.1093/jas/skz397.144).
Harris, T. A, J. B. Tapp, and K. L. Sublette, 2005: Remediation of oil-field brine-impacted soil using a subsurface drainage system and hay. Environmental Geosciences, 12, 101-113. (DOI: 10.1306/eg.11160404041).
Hartung, D. C., J. A. Otkin, J. E. Martin, and D. D. Turner, 2010: The Life Cycle of an Undular Bore and Its Interaction with a Shallow, Intense Cold Front. Monthly Weather Review, 138, 886-908. (DOI: 10.1175/2009MWR3028.1).
Haugland, M. J., and K. C. Crawford, 2005: The diurnal cycle of land-atmosphere interactions across Oklahoma's winter wheat belt. Mon Wea. Rev., 133, 120-130. (DOI: 10.1175/MWR-2842.1).
Hayes, T. , L. Song, M. Dawson, and A. Chancellor, 2012: Heat Balance Analysis to Validate the Heat Dissipation Rate of a Man-Made Lake as a Heat Rejection Device in a Power Plant. Intl. J. of Renewable Energy Res., 2(1), 78-83.
Hazra, A., V. Maggioni, P. Houser, H. Antil, and M. Noonan, 2019: A Monte Carlo-based multi-objective optimization approach to merge different precipitation estimates for land surface modeling. Journal of Hydrology, 570, 454-462. (DOI: 10.1016/j.jhydrol.2018.12.039).
He, J., H. Xin, Y. Wang, and J.A.F.O. Correia, 2021: Effect of temperature loading on the performance of a prestressed concrete bridge in Oklahoma: Probabilistic modelling. Structures, 34, 1429-1442. (DOI: 10.1016/j.istruc.2021.08.007).
Heinselman, P. L., B. L. Cheong, R. D. Palmer, D. Bodine, and K. Hondl, 2009: Radar Refractivity Retrievals in Oklahoma: Insights into Operational Benefits and Limitations. Wea. Forecasting, 24, 1345-1361. (DOI: 10.1175/2009WAF2222256.1).
Hemingway, B. L., A. E. Frazier, B. R. Elbing, and J. D. Jacob, 2017: Vertical Sampling Scales for Atmospheric Boundary Layer Measurements from Small Unmanned Aircraft Systems (sUAS). Atmosphere, 8(9), 176. (DOI: 10.3390/atmos8090176).
Hering A.S., and M.G. Genton, 2011: Comparing Spatial Predictions. Technometrics, 53(4), 414-425. (DOI: 10.1198/TECH.2011.10136).
Hill, P. S. M., J. P. H. H. Deere, J. Fancher, D. R. Howard, J. B. Tapp , 2009: Burrow Aggregation of Prairie Mole Cricket, Gryllotalpa major Saussure (Orthoptera: Gryllotalpidae) Males is Not Based on Soil Microhabitat Constraints at Lek Sites in Oklahoma. Journal of the Kansas Entomological Society, 82, 122-134. (DOI: 10.2317/JKES503.21.1).
Hirabayashi, Y., T. Oki, S. Kanae, and K. Musiake, 2003: Application of satellite-derived surface soil moisture data to simulating seasonal precipitation by a simple soil moisture transfer method. J. Hydrometeorol., 4, 929-943. (DOI: 10.1175/1525-7541(2003)004<0929:AOSSSM>2.0.CO;2).
Hitchcock, S. M., M. C. Coniglio, and K. H. Knopfmeier, 2016: Impact of MPEX upsonde observations on ensemble analyses and forecasts of the 31 May 2013 convective event over Oklahoma. Monthly Weather Review, 144, 2889-2913. (DOI: 10.1175/MWR-D-15-0344.1).
Hocker, J. E., A. D. Melvin, K. A. Kloesel, C. A. Fiebrich, R. W. Hill, R. D. Smith, and S. F. Piltz, 2018: The Evolution and Impact of a Meteorological Outreach Program for Public Safety Officials: An Update on the Oklahoma Mesonet’s OK-First Program. Bulletin of the American Meteorological Society, 99(10), 2009-2024. (DOI: 10.1175/BAMS-D-17-0100.1).
Holcomb, E. D., C. A. Davis, and S. D. Fuhlendorf, 2014: Patch‐burn management: Implications for conservation of avian communities in fire‐dependent sagebrush ecosystems. Journal of Wildlife Management, 78, 848-856. (DOI: 10.1002/jwmg.723).
Holmes, T.R.H., T.J. Jackson, R.H. Reichle, and J.B. Basara, 2012: An assessment of surface soil temperature products from numerical weather prediction models using ground-based measurements. Water Resources Res., 48, W02531. (DOI: 10.1029/2011WR010538).
Holmes, T.R.H., W.T. Crow, M.T. Yilmaz, T.J. Jackson, and J.B. Basara, 2013: Enhancing model based land surface temperature estimates using multiplatform microwave observations. J. of Geo. Res: Atmos., 118, 577-591. (DOI: 10.1002/jgrd.50113).
Holt, T. R., D. Niyogi, F. Chen, K. Manning, and M. LeMone, 2006: Effect of land-atmosphere interactions on the IHOP 24-25 May 2002 convection case. Mon Wea. Rev., 134, 113-133. (DOI: 10.1175/MWR3057.1).
Homeyer, C. R., L. L. Pan, S. W. Dorsi, L. M. Avallone, A. J. Weinheimer, A. S. O'Brien, J. P. DiGangi, M. A. Zondlo, T. B. Ryer, 2014: Convective transport of water vapor into the lower stratosphere observed during double‐tropopause events. J. Geophys. Res. Atmos., 19, 10941-10958. (DOI: 10.1002/2014JD021485).
Hong, S., and E. Kalnay, 2002: The 1998 Oklahoma-Texas drought: Mechanistic experiments with NCEP global and regional models. J. Climate, 15, 945-963. (DOI: 10.1175/1520-0442(2002)015<0945:TOTDME>2.0.CO;2).
Hong, S., and I. Shin, 2011: A physically-based inversion algorithm for retrieving soil moisture in passive microwave remote sensing. J. of Hydro, 1-2, 24-30. (DOI: 10.1016/j.jhydrol.2011.05.005).
Horel, J., M. Splitt, L. Dunn, J. Pechmann, B. White, C. Ciliberti, S. Lazarus, J. Slemmer, D. Zaff, and J. Burks, 2002: MESOWEST: COOPERATIVE MESONETS IN THE WESTERN UNITED STATES. Bull. Amer. Meteor. Soc., 83, 211-226. (DOI: 10.1175/1520-0477(2002)083<0211:MCMITW>2.3.CO;2).
Hossain, F. and E. N. Anagostou, 2005: Using a multi-dimensional satellite rainfall error model to characterize uncertainty in soil moisture fields simulated by an offline land surface model. Geophysical Research Letters, 32, L15402. (DOI: 10.1029/2005GL023122).
Hossain, F., and E. N. Anagnostou, 2005: Numerical investigation of the impact of uncertainties in satellite rainfall estimation and land surface model parameters on simulation of soil moisture. Advances in Water Resources, 28, 1336-1350. (DOI: 10.1016/j.advwatres.2005.03.013).
Houser, J.L., and H.B. Bluestein, 2011: Polarimetric Doppler Radar Observations of Kelvin–Helmholtz Waves in a Winter Storm. J. Atmos. Sci, 68, 1676-1702. (DOI: 10.1175/2011JAS3566.1).
Hovick, T. J., R. D. Elmore, B. W. Allred, S. D. Fuhlendorf, and D. K. Dahlgren, 2014: Landscapes as a moderator of thermal extremes: a case study from an imperiled grouse. Ecosphere, 53(3), 35. (DOI: 10.1890/ES13-00340.1).
Hovick, T. J., R. D. Elmore, S. D. Fuhlendorf, and D. K. Dahlgren, 2015: Weather constrains the influence of fire and grazing on nesting greater prairie-chickens. Rangeland Ecology & Management, 68(2), 186-193. (DOI: 10.1016/j.rama.2015.01.009).
Hu, J., Gao, J., Wang, Y., Pan, S., Fierro, A.O., Skinner, P.S., Knopfmeier, K., Mansell, E.R., and Heinselman, P.L., 2021: Evaluation of an Experimental Warn-on-Forecast 3DVAR analysis and forecast system on quasi-real-time short-term forecasts of high-impact weather events. Quarterly Journal or the Royal Meteorological Society, , . (DOI: 10.1002/qj.4168).
Hu, J., N. Yussouf, D.D. Turner, T.A. Jones, and X. Wang, 2019: Impact of Ground-based Remote Sensing Boundary Layer Observations on Short-term Probabilistic Forecasts of a Tornadic Supercell Event. Wea. Forecasting, , 57 pp. (DOI: 10.1175/WAF-D-18-0200.1).
Hu, M., and M. Xue, 2007: Impact of configurations of rapid intermittent assimilation of WSR-88D radar data for the 8 May 2003 Oklahoma City tornadic thunderstorm case. Mon. Wea. Rev., 135, 507-525. (DOI: 10.1175/MWR3313.1).
Hu, M., M. Xue, and K. Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part I: Cloud analysis and its impact. Mon Wea. Rev., 134, 675-698. (DOI: 10.1175/MWR3092.1).
Hu, M., M. Xue, J. Gao, and K. Brewster, 2006: 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of the Fort Worth tornadic thunderstorms. Part II: Impact of radial velocity analysis via 3DVAR. Mon Wea. Rev., 134, 699-721. (DOI: 10.1175/MWR3093.1).
Hu, X. M., and M. Xue, 2016: Influence of Synoptic Sea-Breeze Fronts on the Urban Heat Island Intensity in Dallas–Fort Worth, Texas. Monthly Weather Review, 144, 1487-1507. (DOI: 10.1175/MWR-D-15-0201.1).
Hu, X. M., P. M. Klein, and M. Xue, 2013: Evaluation of the Updated YSU Planetary Boundary Layer Scheme Within WRF for Wind Resource and Air Quality Assessments. J. Geophys. Res. Atmos., 118, 10,490-10,505. (DOI: 10.1002/jgrd.50823).
Hu, X. M., P. M. Klein, M. Xue, J. K. Lundquist, F. Zhang, and Y. Qi, 2013: Impact of Low-Level Jets on the Nocturnal Urban Heat Island Intensity in Oklahoma City. J. Appl. Metr. and Clim., 52, 1779-1802. (DOI: 10.1175/JAMC-D-12-0256.1).
Hu, X., J. Park, T. Supinie, N.A. Snook, M. Xue, K.A. Brewster, J. Brotzge, and J.R. Carley, 2022: Diagnosing Near-Surface Model Errors with Candidate Physics Parameterization Schemes for Multi-Physics Rapid Refresh Forecast System (RRFS) Ensemble during Winter over the Northeastern US and Southern Great Plains. Monthly Weather Review, , . (DOI: 10.1175/MWR-D-22-0085.1).
Hu, X., M. Xue, P.M. Klein, B.G. Illston, and S. Chen, 2016: Analysis of Urban Effects in Oklahoma City using a Dense Surface Observing Network. J. Appl. Meteor. Climatol., 55, 723-741. (DOI: 10.1175/JAMC-D-15-0206.1).
Hu, X.M., P.M. Klein, M. Xue, A. Shapiro, and A. Nallapareddy, 2013: Enhanced vertical mixing associated with a nocturnal cold front passage and its impact on near surface temperature and ozone concentration. J. of Geo. Res. Atmos., 118, 2714-2728. (DOI: 10.1002/jgrd.50309).
Hubbe, J. M., J. C. Doran, J. C. Liljegren, and W. J. Shaw, 1997: Observations of spatial variations of boundary layer structure over the Southern Great Plains Cloud and Radiation Testbed. J. Appl. Meteor., 36, 1221-1231. (DOI: 10.1175/1520-0450(1997)036<1221:OOSVOB>2.0.CO;2).
Huffman G. J., R. F. Adler, M. M. Morrissey, D. T. Bolvin, S. Curtis, R. Joyce, B. McGavock, and J. Susskind, 2001: Global precipitation at one-degree daily resolution from multisatellite observations. J. Hydrometeorol., 2, 36-50. (DOI: 10.1175/1525-7541(2001)002<0036:GPAODD>2.0.CO;2).
Huhnke, R. L., L. C. McCowan, G. M. Meraz, S. L. Harp, and M. E. Payton, 2004: Using evaporative cooling to reduce the frequency and duration of elevated temperature humidity indices in Oklahoma. Applied Engineering in Agriculture, 20, 95-99.
Hunt, E., J. B. Basara, and C. Morgan, 2007: Significant inversions and rapid in-situ cooling at a well-sited Oklahoma Mesonet station. J. Appl. Meteor., 46, 353-367. (DOI: 10.1175/JAM2467.1).
Hupsel de Azevedo, G.B., B. Doyle, C.A. Fiebrich, and D. Schvartzman, 2022: Low-complexity methods to mitigate the impact of environmental variables on low-cost UAS-based atmospheric carbon dioxide measurements. Atmos. Meas. Tech., 15, 5599–5618. (DOI: 10.5194/amt-15-5599-2022).
Husain, S. Z., S. Bélair, and S. Leroyer, 2014: Influence of soil moisture on urban microclimate and surface-layer meteorology in Oklahoma City. J. Appl. Metr. and Clim., 53, 83-98. (DOI: 10.1175/JAMC-D-13-0156.1).
Husain, S. Z., S. Belair, J. Mailhot, and S. Leroyer, 2013: Improving the Representation of the Nocturnal Near-Neutral Surface Layer in the Urban Environment with a Mesoscale Atmospheric Model. Boundary-Layer Meteorology, 147 (3), 525-551. (DOI: 10.1007/s10546-013-9798-x).
Husz, T.C., C.L. Goad, and R.R. Reuter, 2020: Competition at an automated supplement feeder affects supplement intake and behavior of beef stocker steers. Applied Animal Science, 36 (6), 868-876. (DOI: 10.15232/aas.2020-01991).
Hutchinson, T. A., and H. B. Bluestein, 1998: Prefrontal wind-shift lines in the plains of the United States. Mon Wea. Rev., 126, 141-166. (DOI: 10.1175/1520-0493(1998)126<0141:PWSLIT>2.0.CO;2).
Hutson, A., C. Weiss, and G. Bryan, 2019: Using the Translation Speed and Vertical Structure of Gust Fronts to Infer Buoyancy Deficits within Thunderstorm Outflow. Mon. Wea. Rev., , 50 pp. (DOI: 10.1175/MWR-D-18-0439.1).
Hwang, S., F. M. Epplin, B Lee, and R. Huhnke, 2009: A probabilistic estimate of the frequency of mowing and baling days available in Oklahoma USA for the harvest of switchgrass for use in biorefineries. Biomass and Energy, 33, 1037-1045. (DOI: 10.1016/j.biombioe.2009.03.003).
Iacobellis, S. F., G. M. McFarquhar, D. L. Mitchell, and R. C. J. Somerville, 2003: The sensitivity of radiative fluxes to parameterized cloud microphysics. J. Climate, 16, 2979-2996. (DOI: 10.1175/1520-0442(2003)016<2979:TSORFT>2.0.CO;2).
Illston, B. G. and C. A. Fiebrich, 2017: Horizontal and vertical variability of observed soil temperatures. Geosci. Data J., 4, 40-46. (DOI: 10.1002/gdj3.47).
Illston, B. G., and J. B. Basara, 2003: Analysis of short-term droughts in Oklahoma. EOS Transactions, 84, 1-2. (DOI: 10.1029/2003EO170001).
Illston, B. G., J. B. Basara, and K. C. Crawford, 2004: Seasonal to interannual variations of soil moisture measured in Oklahoma, Int. J. Climatol., 24, 1883 - 1896. (DOI: 10.1002/joc.1077).
Illston, B.G., C.A. Fiebrich, D.L. Grimsley and J.B. Basara, 2013: Evaluation of a Heat Dissipation Sensor for In Situ Measurement of Soil Temperature. Soil Science Society of America Journal, 77 (3), 741-747. (DOI: 10.2136/sssaj2012.0189).
Illston, B.G., J.B. Basara, D.K. Fisher, R.L. Elliott, C. Fiebrich, K.C. Crawford, K. Humes, and E. Hunt, 2008: Mesoscale Monitoring of Soil Moisture Across a Statewide Network. J. of Atmos. and Oceanic Tech, 25, 167-182. (DOI: 10.1175/2007JTECHA993.1).
Ines, A. V. M., and B. P. Mohanty, 2008: Near-surface soil moisture assimilation for quantifying effective soil hydraulic properties under different hydroclimatic conditions. Vadose Zone Journal, 7, 39-52. (DOI: 10.2136/vzj2007.0048).
Interrante, S. M., D. Hancock, and T. J. Butler, 2015: Switchgrass Establishment and Biomass Yield Responses to Fungicide and Insecticide Seed Treatments. Crop, Forage and Turfgrass Management, 1(1), 6 pg. (DOI: 10.2134/cftm2014.0041).
Islam, Z., and T. Y. Gan, 2015: Hydrologic Modeling of the Blue River Basin Using NEXRAD Precipitation Data with a Semidistributed and a Fully Distributed Model. Journal of Hydrologic Engineering, 20(10), 9 pg. (DOI: 10.1061/(ASCE)HE.1943-5584.0001179).
Itenfisu, D., R. L. Elliott, R. G. Allen, and I. A. Walter, 2003: Comparison of reference evapotranspiration calculations as part of the ASCE standardization effort. J. Irrigation and Drainage Engineering, 129, 1-9. (DOI: 10.1061/(ASCE)0733-9437(2003)129:6(440)).
Jackson, T. J., 2003: Multiple resolution analysis of L-band brightness temperature for soil moisture. IEEE Transactions on Geoscience and Remote Sensing, 39, 151-164. (DOI: 10.1109/36.898677).
Jackson, T. J. , A. Y. Hsu, A. Shutko, Yu. Tishchenko, B. Petrenko, B. Kutuza, and N. Armand, 2004: Priroda microwave radiometer observations in the Southern Great Plains 1997 hydrology experiment. International Journal of Remote Sensing, 23, 231-248. (DOI: 10.1080/01431160010014242).
Jackson, T. J., A. J. Gasiewski, A. Oldak, M. Klein, E. G. Njoku, A. Yevgrafov, S. Christian, and R. Bindlish, 2002: Soil moisture retrieval using the C-band polarimetric scanning radiometer during the Southern Great Plains 1999 Experiment. IEEE Transactions on Geoscience and Remote Sensing, 40, 2151- 2161. (DOI: 10.1109/TGRS.2002.802480).
Jackson, T. J., A. Y. Hsu, and P. E. O'Neill, 2002: Surface soil moisture retrieval and mapping using high-frequency microwave satellite observations in the Southern Great Plains.  J. Hydrometeor., 3, 688-699. (DOI: 10.1175/1525-7541(2002)003<0688:SSMRAM>2.0.CO;2).
Jackson, T. J., and A. Y. Hsu, 2001: Soil moisture and TRMM microwave imager relationships in the Southern Great Plains 1999 (SGP99) experiment.  IEEE Transactions on Geoscience and Remote Sensing, 37, 2136-2151. (DOI: 10.1109/36.942541).
Jackson, T. J., and Coauthors, 2010: Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products. Geoscience and Remote Sensing, IEEE Transactions on, 48, 4256-4272. (DOI: 10.1109/TGRS.2010.2051035).
Jackson, T. J., D. M. Le Vine, A. Y. Hsu, A. Oldak, P. J. Starks, C. T. Swift, J. D. Isham, and M. Haken, 1999: Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment. IEEE Transactions on Geoscience and Remote Sensing, 37, 2136-2151. (DOI: 10.1109/36.789610).
Jacob, J. D., P. B. Chilson, A. L. Houston, and S. W. Smith, 2018: Considerations for Atmospheric Measurements with Small Unmanned Aircraft Systems. Atmosphere, 9(7), 252. (DOI: 10.3390/atmos9070252).
Jacobs, A.M., T.M. Bell, B.R. Greene, B.R. and P.B. Chilson, 2020: The Effect of Climatological Variables on Future UAS-Based Atmospheric Profiling in the Lower Atmosphere. Remote Sensing, 12(18), 2947. (DOI: 10.3390/rs12182947).
Jagmandeep, D., A. Lawrence, E. Eickhoff, and W. Raun, 2020: Predicting in-season maize yield potential using crop sensors and climatological data. Scientific Reports, 10(1), . (DOI: 10.1038/s41598-020-68415-2).
Jakobi, J., J.A. Huisman, M. Schrön, J. Fiedler, C. Brogi, H. Vereecken, H. and H.R. Bogena, 2020: Error estimation for soil moisture measurements with cosmic ray neutron sensing and implications for rover surveys. Frontiers in Water, 2, 10 pp. (DOI: 10.3389/frwa.2020.00010).
James, E. P., and R. H. Johnson, 2010: Patterns of Precipitation and Mesolow Evolution in Midlatitude Mesoscale Convective Vortices. Monthly Weather Review, 138, 909-931. (DOI: 10.1175/2009MWR3076.1).
Javid, A.H. and R. Bulut, 2019: Evaluating Equilibrium Matric Suctions under Pavement System Based on Thornthwaite Moisture Index (TMI). Airfield and Highway Pavements 2019, , 511-521.
Jenkins-Smith, H., J. Ripberger, C. Silva, N. Carlson, K. Gupta, M. Henderson, and A. Goodin, 2017: The Oklahoma Meso-Scale Integrated Socio-Geographic Network: A Technical Overview. J. Atmos. Oceanic Technol., 34, 2431-1441. (DOI: 10.1175/JTECH-D-17-0088.1).
Jennrich, G.C., J.C. Furtado, J.B. Basara, and E.R. Martin, 2020: Synoptic Characteristics of 14-Day Extreme Precipitation Events Across the United States. J. of Clim., , 50 pp. (DOI: 10.1175/JCLI-D-19-0563.1).
Jiang, H., and S. Islam, 2003: An intercomparison of regional latent heat flux estimation using remote sensing data. International Journal of Remote Sensing, 24, 2221-2236. (DOI: 10.1080/01431160210154821).
Jiang, H., and W. R. Cotton, 2004: Soil moisture estimation using an artificial neural network: a feasibility study. Canadian Journal of Remote Sensing, 30, 827-839. (DOI: 10.5589/m04-041.
Jing, W. and P. Zhang, 2018: Reconstructing Monthly ECV Global Soil Moisture with an Improved Spatial Resolution. Water REsources Management, 32(7), 2523-2537. (DOI: 10.1007/s11269-018-1944-2).
Joh, Y., N. Maness, and W. McGlynn, 2017: Antioxidant Properties of “Natchez” and “Triple Crown” Blackberries Using Korean Traditional Winemaking Techniques. International Journal of Food Science, 2017, 9 pgs. (DOI: 10.1155/2017/5468149).
Johnson, A., and X. Wang, 2012: Verification and Calibration of Neighborhood and Object-Based Probabilistic Precipitation Forecasts from a Multimodel Convection-Allowing Ensemble. Mon. Wea. Rev., 140, 3054–3077. (DOI: 10.1175/MWR-D-11-00356.1).
Johnson, A., X. Wang, J. R. Carley, L. J. Wicker, and C. Karstens, 2015: A comparison of multiscale GSI-based EnKF and 3DVar data assimilation using radar and conventional observations for midlatitude convective-scale precipitation forecasts. Monthly Weather Review, 143(8), 3087-3108. (DOI: 10.1175/MWR-D-14-00345.1).
Johnson, A., X. Wang, M. Xue, and F. Kong, 2011: Hierarchical Cluster Analysis of a Convection-Allowing Ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part II: Ensemble Clustering over the Whole Experiment Period. Monthly Weather Review, 139, 3694-3710. (DOI: 10.1175/MWR-D-11-00016.1).
Johnson, Z.F. and N.M. Hitchens, 2018: Effects of Soil Moisture on the Longitudinal Dryline Position in the Southern Great Plains. J. Hydrometeor., 19, 272-287. (DOI: 10.1175/JHM-D-17-0091.1).
Jones, A. C., K. D. Hambright, and D. A. Caron, 2017: Ecological Patterns Among Bacteria and Microbial Eukaryotes Derived from Network Analyses in a Low-Salinity Lake. Microb Ecol, 2017, 1-13. (DOI: 10.1007/s00248-017-1087-7).
Jones, A.S., Andales, A.A., Chávez, J.L., McGovern, C., Smith, G.E.B., David, O., and Fletcher, S.J., 2019: Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and Adjoints. Journal of the American Water Resources Association, , 1-11. (DOI: 10.1111/1752-1688.12806).
Jones, T. A., and C. Nixon, 2017: Short-term forecasts of left-moving supercells from an experimental Warn-on-Forecast system. J. Operational Meteor, 5 (13), 161-170. (DOI: 10.15191/nwajom.2017.0513).
Jones, T. A., D. J. Stensrud, P. Minnis, and R. Palikonda, 2013: Evaluation of a forward operator to assimilate cloud water path into WRF-DART. Monthly Weather Review, 141 (7), 2272-2289. (DOI: 10.1175/MWR-D-12-00238.1).
Jones, T. A., D. Stensrud, L. Wicker, P. Minnis, and R. Palikonda, 2015: Simultaneous radar and satellite data storm-scale assimilation using an ensemble Kalman filter approach for 24 May 2011. Monthly Weather Review, 143, 165-194. (DOI: 10.1175/MWR-D-14-00180.1).
Jones, T. A., K. Knopfmeier, D. Wheatley, G. Creager, P. Minnis, and R. Palikonda, 2016: Storm-scale data assimilation and ensemble forecasting with the NSSL experimental Warn-on-Forecast system. Part II: Combined radar and satellite data experiments. Weather and Forecasting, 31(1), 297-327. (DOI: 10.1175/WAF-D-15-0107.1).
Jones, T. A., X. Wang, P. Skinner, A. Johnson, and Y. Wang, 2018: Assimilation of GOES-13 imager clear-sky water vapor (6.5 μm) radiances into a Warn-on-Forecast system. Mon. Wea. Rev., EOR, . (DOI: 10.1175/MWR-D-17-0280.1).
Jones, T.A., P. Skinner, K. Knopfmeier, E. Mansell, P. Minnis, R. Palikonda, and W. Smith, 2018: Comparison of cloud microphysics schemes in a Warn-on-Forecast system using synthetic satellite objects. Wea. Forecasting, , . (DOI: 10.1175/WAF-D-18-0112.1).
Jones, T.A., P. Skinner, N. Yussouf, K. Knopfmeier, A. Reinhart, X. Wang, K. Bedka, W. Smith, and R. Palikonda, 2020: Assimilation of GOES-16 radiances and retrievals into the Warn-on-Forecast System.. Mon. Wea. rev., , . (DOI: 10.1175/MWR-D-19-0379.1).
Joshi, S., D. Brown, D. and P. Busteed, 2021: Intensification scenarios in projected precipitation using stochastic weather generators: a case study of central Oklahoma. Theor Appl Climatol, , . (DOI: 10.1007/s00704-021-03599-9).
Jung, C.G. X. Xu, S. Niu, J. Liang, X. Chen, Z. Shi, L. Jiang, and Y. Luo, 2019: Experimental warming amplified opposite impacts of drought vs. wet extremes on ecosystem carbon cycle in a tallgrass prairie. Agricultural and Forest Meteorology, 276-277, . (DOI: 10.1016/j.agrformet.2019.107635).
Jung, C.G., X. Xu, Z. Shi, S. Miu, J. Xia, R. Sherry, L. Jiang, K. Zhu, E. Hou, and Y. Luo, 2022: Warmer and wetter climate promotes net primary production in C4 grassland with additional enhancement by hay harvesting. Ecosphere, 13(1), e3899. (DOI: 10.1002/ecs2.3899).
Jung, C.G., Z. Du, O. Hararuk, X. Xu, J. Liang, X. Zhou, D. Li, L. Jiang, and Y. Luo, 2021: Long-term measurements in a mixed-grass prairie reveal a change in soil organic carbon recalcitrance and its environmental sensitivity under warming. Oecologia , , . (DOI: 10.1007/s00442-021-04875-1).
Kain, J. S., and Coauthors, 2010: Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting–Research Environment. Weather and Forecasting, 25, 1510-1521. (DOI: 10.1175/2010WAF2222405.1).
Kalinga, O.A., and T.Y. Gan, 2012: Merging WSR-88D stage III radar rainfall data with rain gauge measurements using wavelet analysis. Intl. J. of Remote Sensing, 33(4), 1078-1105. (DOI: 10.1080/01431161.2010.550641).
Kandel, T. P., P. H. Gowda, B. K. Northup, and A. C. Rocateli, 2019: Impacts of tillage systems, nitrogen fertilizer rates and a legume green manure on light interception and yield of winter wheat. Cogent Food & Agriculture, 5, . (DOI: 10.1080/23311932.2019.1580176).
Kandel, T. P., P. H. Gowda, B. K. Northup, and A. C. Rocateli, 2019: Incorporation and harvest management of hairy vetch-based green manure influence nitrous oxide emissions. Renewable Agriculture and Food Systems, , 1-10. (DOI: 10.1017/S174217051900019X).
Kandel, T., P. Gowda,B. Northup, and A. Rocateli, 2019: Winter wheat yield and nitrous oxide emissions in response to cowpea-based green manure and nitrogen fertilization. Experimental Agriculture, , 1-16. (DOI: 10.1017/S0014479719000334).
Kandel, T.P., P.H. Gowda, A. Somenahally, B.K. Northup, L. DuPont, J. and A.C. Rocateli, 2018: Nitrous oxide emissions as influenced by legume cover crops and nitrogen fertilization. Nutrient Cycling in Agroecosystems, 112(1), 119-131. (DOI: 10.1007/s10705-018-9936-4).
Kandel, T.P., P.H. Gowda, and B.K. Northup, 2020: Influence of Tillage Systems, and Forms and Rates of Nitrogen Fertilizers on CO2 and N2O Fluxes from Winter Wheat Cultivation in Oklahoma. Agronomy, 10(3), 320. (DOI: 10.3390/agronomy10030320).
Kanofsky, L. and P. Chilson, 2008: An Analysis of Errors in Drop Size Distribution Retrievals and Rain Bulk Parameters with a UHF Wind Profiling Radar and a Two-Dimensional Video Disdrometer. J. Atmos. Oceanic Technol., 25, 2282-2292. (DOI: 10.1175/2008JTECHA1061.1).
Karamouz, M., H. Meidani, and D. Mahmoodxadeh, 2022: Inverse unsaturated-zone flow modeling for groundwater recharge estimation: a regional spatial nonstationary approach. Hydrogeology Journal, , . (DOI: 10.1007/s10040-022-02502-8).
Karamouz, M., H. Meidani, and D. Mahmoodzadeh, 2021: A Regional-Scale Non-Stationarity Based Framework in Unsaturated Zone Flow Modeling. World Environmental and Water Resources Congress 2021, , 52-63. (DOI: 10.1061/9780784483466.005).
Katiyar, N. and F. Hossain, 2007: An open-book watershed model for prototyping space-borne flood monitoring systems in International River Basins. Environmental Modelling & Software, 22 (12), 1720-1731. (DOI: 10.1016/j.envsoft.2006.12.005).
Keim, K. R., L. H. Edwards, and J. R. Sholar, 2003: Producing soybean and wheat cropping systems in rainfed environments. Online. Crop Management, Online, . (DOI: 10.1094/CM-2003-0523-01-RS).
Kellner, O., D. Niyogi, M. Lei, and A. Kumar, 2012: The role of anomalous soil moisture on the inland reintensification of Tropical Storm Erin (2007). Natural Hazards, 63(3), 1573-1600. (DOI: 10.1007/s11069-011-9966-6).
Kenkel, P. L., and P. E. Norris, 1995: Agricultural Producers' Willingness to Pay for Real-Time Mesoscale Weather Information. Journal of Agricultural and Resource Economics, 20, 356-372. (DOI: 10.1175/1520-0426(1995)012<0005:TOMATO>2.0.CO;2).
Kenkel, P. L., and P. E. Norris, 1997: Agricultural Producers' Willingness to Pay for Real-Time Mesoscale Weather Information: A Response. Journal of Agricultural and Resource Economics, 22, 382-386.
Kennedy, A. D., X. Dong, and B. Xi, 2014: Cloud fraction at the ARM SGP site. Theor Appl Climatol, 115, 91-105. (DOI: 10.1007/s00704-013-0853-9).
Kerr, C. A., D. J. Stensrud, and X. Wang, 2017: Verification of Convection-Allowing Model Ensemble Analyses of Near-Storm Environments Using MPEX Upsonde Observations. Mon. Wea. Rev., 145, 857-875. (DOI: 10.1175/MWR-D-16-0287.1).
Kerr, C.A., D.J. Stensrud, and X. Wang, 2019: Diagnosing convective dependencies on near-storm environments using ensemble sensitivity analyses. Mon. Wea. Rev., Early Online Release, . (DOI: 10.1175/MWR-D-18-0140.1).
Kerr, D.D. and T.E. Ochsner, 2019: Soil organic carbon more strongly related to soil moisture than soil temperature in temperate grasslands. Soil Sci. Soc. Am. J., , . (DOI: 10.1002/saj2.20018).
Khan, I. S., Y. Hong, B. Vieux, and W. Liu, 2010: Developmentevaluation of an actual evapotranspiration estimation algorithm using satellite remote sensingmeteorological observational network in Oklahoma. International Journal of Remote Sensing, 31, 3799-3819. (DOI: 10.1080/01431161.2010.483487).
Khanchi, A., C. L. Jones, B. Sharma, R. L. Huhnke, P. Weckler, and N. O. Maness, 2013: An empirical model to predict infield thin layer drying rate of cut switchgrass. Biomass and Bioenergy, 58, 128-135. (DOI: 10.1016/j.biombioe.2013.08.024).
Khand K., S. Taghvaeian, P. Gowda, G. Paul, 2019: A Modeling Framework for Deriving Daily Time Series of Evapotranspiration Maps Using a Surface Energy Balance Model. Remote Sens., 11(5), . (DOI: 10.3390/rs11050508).
Khand, K., N. Bhattarai, S. Taghvaeian, P. Wagle, P.H. Gowda, and P.D. Alderman, 2020: Modeling Evapotranspiration of Winter Wheat using Contextual-and Pixel-based Surface Energy Balance Models. Transactions of the ASABE, , . (DOI: 10.13031/trans.14087).
Kim, G., J. B. Valdes, G. R. North, H. T. Kim, 2006: Assessment of sampling error associated with soil moisture estimation designs. Journal of the American Water Resources Association, 42, 213-224. (DOI: 10.1111/j.1752-1688.2006.tb03835.x).
Kim, J. and T.S. Hogue, 2008: Evaluation of a MODIS-Based Potential Evapotranspiration Product at the Point Scale. J. of Hydromet., 9, 444-460. (DOI: 10.1175/2007JHM902.1).
Kim, J., B. P. Mohanty, and Y. Shin, 2015: Effective soil moisture estimate and its uncertainty using multimodel simulation based on Bayesian model averaging. Journal of Geophysical Research: Atmospheres, 120(16), 8023-8042. (DOI: 10.1002/2014JD022905).
Kim, K. S., J. D. Anderson, S. L. Webb, M. A. Newell and T. J. Butler, 2017: Variation in winter forage production of four small grain species-oat, rye, triticale, and wheat. Pak. J. Bot, 49(2), 553-559.
Kim, T., P. Kenkel, and B.W. Brorsen, 2012: Forecasting Hourly Peak Call Volume for a Rural Electric Cooperative Call Center. J. of Forecasting, 31(4), 314-329. (DOI: 10.1002/for.1226).
Kimball, S. K., M. S. Mulekar, S. Cummings, and J. Stamates, 2010: The University of South Alabama Mesonet and Coastal Observing System: A Technical and Statistical Overview. J. Atmos. Oceanic Technol., 27, 1417-1439. (DOI: 10.1175/2010JTECHA1376.1).
Kindler, S. D., N. C. Elliott, K. L. Giles, T. A. Royer, R. Fuentes-Granados, and F. Tao, 2002: Effect of greenbugs (Homoptera: Aphididae) on yield loss of winter wheat. J. Economic Entomology, 95, 89-95. (DOI: 10.1603/0022-0493-95.1.89).
Kirkwood, A. E., and W. J. Henley, 2006: Algal community dynamics and halotolerance in a terrestrial, hypersaline environment. Journal of Phycology, 42, 537-547. (DOI: 10.1111/j.1529-8817.2006.00227.x).
Klein, P. M., and J. M. Galvez, 2015: Flow and turbulence characteristics in a suburban street canyon. Environmental Fluid Mechanics, 15, 419-438. (DOI: 10.1007/s10652-014-9352-5).
Klein, P. M., and R. Coffman, 2015: Establishment and performance of an experimental green roof under extreme climatic conditions. Science of The Total Environment, 512-513, 82-93. (DOI: 10.1016/j.scitotenv.2015.01.020).
Klein, P. M., X. M. Hu, A. Shapiro, and M. Xue, 2016: Linkages Between Boundary-Layer Structure and the Development of Nocturnal Low-Level Jets in Central Oklahoma. Boundary Layer Meteorology, 158(3), 383-408. (DOI: 10.1007/s10546-015-0097-6).
Klein, P. M., X. M. Hu, and M. Xue, 2014: Impacts of Mixing Processes in Nocturnal Atmospheric Boundary Layer on Urban Ozone Concentrations. Boundary Layer Meteorology, 150, 107-130. (DOI: 10.1007/s10546-013-9864-4).
Klemm, T. and R. A. McPherson, 2017: The development of seasonal climate forecasting for agricultural producers. Agricultural and Forest Meteorology, 232, 384-399. (DOI:
Klockow, K. E., R. A. McPherson, and D. S. Sutter, 2010: On the Economic Nature of Crop Production Decisions Using the Oklahoma Mesonet. Weather, Climate, and Society, 2, 224-236. (DOI: 10.1175/2010WCAS1034.1).
Knievel, J. C., and R. H. Johnson, 2002: The kinematics of a midlatitude, continental mesoscale convective system and its mesoscale vortex. Mon Wea. Rev., 130, 1749-1770. (DOI: 10.1175/1520-0493(2002)130<1749:TKOAMC>2.0.CO;2).
Knievel, J. C., and R. H. Johnson, 2003: A scale-discriminating vorticity budget for a mesoscale vortex in a midlatitude, continental mesoscale convective system. J. Atmos. Sci., 60, 781-794. (DOI: 10.1175/1520-0469(2003)060<0781:ASDVBF>2.0.CO;2).
Knopfmeier, K. H., and D. J. Stensrud, 2013: Influence of mesonet observations on the accuracy of surface analyses generated by an ensemble Kalman filter. Weather and Forecasting, 28(3), 815-841. (DOI: 10.1175/WAF-D-12-00078.1).
Knupp, K., 2006: Observational analysis of a gust front to bore to solitary wave transition within an evolving nocturnal boundary layer. J. Atmos. Sci., 63, 2016-2035. (DOI: 10.1175/JAS3731.1).
Koch, S. E., and S. Saleeby, 2001: An automated system for the analysis of gravity waves and other mesoscale phenomena. Wea. Forecasting, 16, 661-679. (DOI: 10.1175/1520-0434(2001)016<0661:AASFTA>2.0.CO;2).
Koch, S.E., M. Fengler, P.B. Chilson, K.L. Elmore, B. Argrow, D.L. Andra, and T. Lindley, 2018: On the Use of Unmanned Aircraft for Sampling Mesoscale Phenomena in the Preconvective Boundary Layer. J. Atmos. Oceanic Technol., 35, 2265-2288. (DOI: 10.1175/JTECH-D-18-0101.1).
Konemann, C. E., B. M. Kard, M. E. Payton, S. P. Deng, J. G. Warren, and T. M. Wilson, 2016: CO2 Emissions from Soil on Oklahoma's Tallgrass Prairie Preserve in the Presence or Absence of Termites (Isoptera: Rhinotermitidae). The American Midland Naturalist, 176(1), 60-71. (DOI: 10.1674/0003-0031-176.1.60).
Kong, F., K. K. Droegemeier, and N. L. Hickmon, 2006: Multiresolution ensemble forecasts of an observed tornadic thunderstorm system. Part I: Comparsion of coarse- and fine-grid experiments. Mon Wea. Rev., 134, 807-833. (DOI: 10.1175/MWR3097.1).
Koren, V., F Moreda, M Smith, 2008: Use of soil moisture observations to improve parameter consistency in watershed calibration. Physics and Chemistry of the Earth, 33, 1068-1080. (DOI: 10.1016/j.pce.2008.01.003).
Krajewski, W. F., and B. Vignal, 2001: Evaluation of anomalous propagation echo detection in WSR-88D data: a large sample case study. J. Atmos. Oceanic Technol., 18, 807-814. (DOI: 10.1175/1520-0426(2001)018<0807:EOAPED>2.0.CO;2).
Krajewski, W. F., B. Vignal, B. Seo, and G. Villarini, 2011: Statistical model of the range-dependent error in radar-rainfall estimates due to the vertical profile of reflectivity. J. of Hydr., 402, 306-316. (DOI: 10.1016/j.jhydrol.2011.03.024).
Krajewski, W. F., G. Villarini, and J. A. Smith, 2010: RADAR-Rainfall Uncertainties. Bull. Amer. Meteor. Soc., 91, 87-94. (DOI: 10.1175/2009BAMS2747.1).
Krikken, F., and G. Steenveld, 2012: Modelling the re-intensification of tropical storm Erin (2007) over Oklahoma: understanding the key role of downdraft formulation. Tellus A, 64, 17417. (DOI: 10.3402/tellusa.v64i0.17417).
Krueger, E. S., T. E. Ochsner, and S. M. Quiring, 2019: Development and Evaluation of Soil Moisture-Based Indices for Agricultural Drought Monitoring. Agron. J., , . (DOI: 10.2134/agronj2018.09.0558).
Krueger, E. S., T. E. Ochsner, D. M. Engle, J. D. Carlson, D. Twidwell, and S. D. Fuhlendorf, 2015: Soil moisture affects growing-season wildfire size in the Southern Great Plains. Soil Science Society of America Journal, 79(6), 1567-1576. (DOI:10.2136/sssaj2015.01.0041).
Krueger, E. S., T. E. Ochsner, J. D. Carlson, D. M. Engle, D. Twidwell, and S. D. Fuhlendorf, 2016: Concurrent and antecedent soil moisture relate positively or negatively to probability of large wildfires depending on season. International Journal of Wildland Fire, 25, 657-668. (DOI: 10.1071/WF15104).
Krueger, E.S., T. E. Ochsner, S. M. Quiring, D. M. Engle, J. D. Carlson, D. Twidwell, and S. D. Fuhlendorf, 2017: Measured Soil Moisture is a Better Predictor of Large Growing-Season Wildfires than the Keetch–Byram Drought Index. Soil Science Society of America Journal, 81(3), 490-502. (DOI: 10.2136/sssaj2017.01.0003).
Kukal, M.S., S. Irmak, H. Walia, and L. Odhiambo, 2020: Spatio‐temporal calibration of Hargreaves–Samani model to estimate reference evapotranspiration across U.S. High Plains. Agronomy Journal, 112, 4232-4248. (DOI:10.1002/agj2.20325).
Kuligowski, R. J., 2002: A self-calibrating real-time GOES rainfall algorithm for short-term rainfall estimates. J. Hydrometeor., 3, 112-130. (DOI: 10.1175/1525-7541(2002)003<0112:ASCRTG>2.0.CO;2).
Kumar, A., F. Chen, D. Niyogi, J.G. Alferi, M. Ek, and K. Mitchell, 2011: Evaluation of a Photosynthesis-Based Canopy Resistance Formulation in the Noah Land-Surface Model. Boundary Layer Meteor., 138(2), 263-284. (DOI: 10.1007/s10546-010-9559-z).
Kumar, P., S. W. Hallgren , D. E. Enstone, and C. A. Peterson, 2007: Root anatomy of Pinus taeda L.: seasonal and environmental effects on development in seedlings. Trees - Structure and Function, 21, 693-706. (DOI: 10.1007/s00468-007-0162-y).
Kumar, S. V., C. D. Peters-Lidard, J. L. Eastman, and W.-K. Tao, 2008: An integrated high-resolution hydrometeorological modeling testbed using LIS and WRF. Environmental Modelling and Software, 23, 169-181. (DOI: 10.1016/j.envsoft.2007.05.012).
Kumjian, M. R., A. V. Ryzhkov, V. M. Melnikov, and T. J. Schuur, 2010: Rapid-Scan Super-Resolution Observations of a Cyclic Supercell with a Dual-Polarization WSR-88D. Monthly Weather Review, 138, 3762-3786. (DOI: 10.1175/2010MWR3322.1).
Kummerow, C., and Coauthors, 2001: The Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall Estimation from Passive Microwave Sensors. Journal of Applied Meteorology, 40, 1801-1820. (DOI: 10.1175/1520-0450(2001)040<1801:TEOTGP>2.0.CO;2).
Kummerow, C., Y. Hong, W. S. Olson, S. Yang, R. F. Adler, J. McCollum, R. Ferraro, G. Petty, D.-B. Shin, and T. T. Wilheit, 2001: The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors. J. Appl. Meteor., 40, 1801-1820.
Kumssa, T.T., J.D. Anderson, J.P. Johnson, S. Norton, M.C. Saha, M.A. Trammell, J.K. Rogers, T.J. Butler, and X-F Ma, 2022: Trends of seasonal forage yield changes of triticale in the southern Great Plains of the United States. Grassland Research, , 8 pp. (DOI: 10.1002/glr2.12027).
Kurdzo, J.M., and R.D. Palmer, 2012: Objective Optimization of Weather Radar Networks for Low-Level Coverage Using a Genetic Algorithm. J. Atmos. Oceanic echnol., 29, 807-821. (DOI: 10.1175/JTECH-D-11-00076.1).
Kustas, W. and M. Anderson, 2009: Advances in thermal infrared remote sensing for land surface modeling. Agricultural and Forest Meteorology, 149 (12), 2071-2081. (DOI: 10.1016/j.agrformet.2009.05.016).
Kustas, W. P., J. M. Norman, M. C. Anderson, and A. N. French, 2003: Estimating subpixel surface temperatures and energy fluxes from the vegetation index–radiometric temperature relationship. Remote Sensing of Environment, 85(4), 429-440. (DOI: 10.1016/S0034-4257(03)00036-1).
Kustas, W. P., M. C. Anderson, A. N. French, and D. Vickers, 2006: Using a remote sensing field experiment to investigate flux-footprint relations and flux sampling distributions for tower and aircraft-based observations. Advances in Water Resources, 29, 355-368. (DOI: 10.1016/j.advwatres.2005.05.003).
Kustas, W. P., R. Bindlish, A. N. French, and T. J. Schmugge, 2003: Comparison of energy balance modeling schemes using microwave-derived soil moisture and radiometric surface temperature. Water Resour. Res., 39, 1039. (DOI: 10.1029/2002WR001361).
Kustas, W. P., T. J. Jackson, A. N. French, and J. I. MacPherson, 2001: Verification of patch- and regional-scale energy balance estimates derived from microwave and optical remote sensing during SGP97. J. Hydrometeor., 2, 254-273. (DOI: 10.1175/1525-7541%282001%29002<0254%3AVOPARS>2.0.CO%3B2).
Kuster, C.M., B.R. Bowers, J.T. Carlin, T.J. Schuur, J.W. Brogden, R. Toomey, and A. Dean, 2021: Using KDP Cores as a Downburst Precursor Signature. Weather and Forecasting, , 52 pp. (DOI: 10.1175/WAF-D-21-0005.1).
Kuster, C.M., B.R. Bowers, J.T. Carlin, T.J. Schuur, J.W. Brogden, R. Toomey, and A. Dean, 2021: Using KDP Cores as a Downburst Precursor Signature. Weather and Forecasting, 36(4), 1183-1198. (DOI: 10.1175/WAF-D-21-0005.1).
Kuster, E. L., C. E. Lunday, and R. A. McPherson, 2015: A comparison of North American regional climate change assessment program output and Oklahoma Mesonet observations: Precipitation and temperature. The Geographical Bulletin, 56(2), 102-121. (
Labriola, J., N. Snook, Y. Jung, and M. Xue, 2019: Explicit Ensemble Prediction of Hail in 19 May 2013 Oklahoma City Thunderstorms and Analysis of Hail Growth Processes with Several Multi-Moment Microphysics Schemes. Mon. Wea. Rev., , . (DOI: 10.1175/MWR-D-18-0266.1).
Lagerquist, R., A. McGovern, and T. Smith, 2017: Machine Learning for Real-Time Prediction of Damaging Straight-Line Convective Wind. Wea. Forecasting, 32, 2175-2193. (DOI: 10.1175/WAF-D-17-0038.1).
Lai, A., J. Gao, S.E. Koch, Y. Wang, S. Pan, A.O. Fierro, C. Cui, and J. Min, 2019: Assimilation of Radar Radial Velocity, Reflectivity and Pseudo Water Vapor for Convective-scale NWP in a Variational Framework. Mon. Wea. Review, 147(8), 2877-2900. (DOI: 10.1175/MWR-D-18-0403.1).
Lakhankar, T., A. S. Jones, C. L. Combs, M. Sengupta, T. H. Vonder Haar, and R. Khanbilvardi, 2010: Analysis of Large Scale Spatial Variability of Soil Moisture Using a Geostatistical Method. Sensors, 10, 913-932. (DOI: 10.3390/s100100913).
Lakshmanan, V., M. Miller, and T. Smith, 2013: Quality control of accumulated fields by applying spatial and temporal constraints. J. Atmos. and Ocean. Tech., 30(4), 745-758. (DOI: 10.1175/JTECH-D-12-00128.1).
Lakshmi, V., 2013: Remote sensing of soil moisture. ISRN Soil Science, 2013, Article ID 424178, 33 pgs. (DOI: 10.1155/2013/424178).
Lamb, P. J., D. H. Portis, and A. Zangvil, 2012: Investigation of Large-Scale Atmospheric Moisture Budget and Land Surface Interactions over U.S. Southern Great Plains including for CLASIC (June 2007). J. Hydrometeor., 13, 1719-1738. (DOI: 10.1175/JHM-D-12-01.1).
Lane, D. E., K. Goris, and R. C. J. Somerville, 2002: Radiative transfer through broken clouds: Observations and model validation. J. Climate, 15, 2921-2933. (DOI: 10.1175/1520-0442(2002)015<2921:RTTBCO>2.0.CO;2).
Lane, D. E., R. C. J. Somerville, and S. F Iacobellis, 2000: Sensitivity of cloud and radiation parameterizations to changes in vertical resolution. J. Climate, 13, 915-922. (DOI: 10.1175/1520-0442(2000)013<0915:SOCARP>2.0.CO;2).
Lappin, F.M., T.M. Bell, E.A. Pillar-Little, and P.B. Chilson, 2021: Low-level buoyancy as a tool to understand boundary layer transitions. Atmos. Meas. Tech. Discuss., , . (DOI: 10.5194/amt-2021-68).
Larsson, L. C., C. L. Pruett, D. H. Wolfe, and M. A. Patten, 2013: Fine-scale selection of habitat by the Lesser Prairie-chicken. The Southwestern Naturalist, 58(2), 135-149.
Lee, B.H., P. Kenkel, and B. W. Brorsen, 2013: Pre-harvest forecasting of county wheat yield and wheat quality using weather information. Agr. and Forest Meteor., 168, 26-35. (DOI: 10.1016/j.agrformet.2012.08.010).
Lee, H., and D. J. Seo, 2014: Assimilation of hydrologic and hydrometeorological data into distributed hydrologic model: Effect of adjusting mean field bias in radar-based precipitation estimates. Advances in Water Resources, 74, 196-211. (DOI: 10.1016/j.advwatres.2014.09.002).
Lee, H., D. J. Seo, and V. Koren, 2011: Assimilation of streamflow and in situ soil moisture data into operational distributed hydrologic models: Effects of uncertainties in the data and initial model soil moisture states. Adv. in Water Res., 34, 1597-1615. (DOI: 10.1016/ j.advwatres.2011.08.012).
Lee, J., G. Pedroso, B.A. Linquist, D. Putnam, C. van Kessel, and J. Six, 2012: Simulating switchgrass biomass production across ecoregions using the DAYCENT model. GCB Bioenergy, 4(5), 521-533. (DOI: 10.1111/j.1757-1707.2011.01140.x).
Lee, K. H., and E. N. Anagnostou, 2004: A combined passive/active microwave remote sensing approach for surface variable retrieval using Tropical Rainfall Measuring Mission observations. Remote Sensing of Environment, 92, 112-125. (DOI: 10.1016/j.rse.2004.05.003).
Lee, K., and E. N. Anagnostou, 2004: Investigation of the nonlinear hydrologic response to precipitation forcing in physically based land surface modeling. Canadian Journal of Remote Sensing, 30, 706-716. (DOI: 10.5589/m04-037).
Lee, K., and N. S. Oh, 2006: Investigating the spatial scaling effect of the non-linear hydrological response to precipitation forcing in a physically based land surface model. Water SA, 32, 145-154. (DOI: 10.4314/wsa.v32i2.5255).
Lee, W.H., S.F. Iacobellis, and R.C.J. Somerville, 1997: Cloud radiation forcings and feedbacks: General circulation model tests and observational validation. J. Climate, 10, 2479-2496.
Lehmiller, G. S., H. B. Bluestein, P. J. Neiman, F. M. Ralph, and W. F. Feltz, 2001: Wind structure in a supercell thunderstorm as measured by a UHF wind profiler. Mon Wea. Rev., 129, 1968-1986. (DOI: 10.1175/1520-0493(2001)129<1968:WSIAST>2.0.CO;2).
Leis, S. A., D. M. Leslie Jr., D. M. Engle, and J. S. Fehmi, 2008: Small mammals as indicators of short-term and long-term disturbance in mixed prairie. Environmental Monitoring and Assessment, 137, 75-84. (DOI: 10.1007/s10661-007-9730-2).
Lemonsu, A., S. Belair, and J. Mailhot, 2009: The New Canadian Urban Modelling System: Evaluation for Two Cases from the Joint Urban 2003 Oklahoma City Experiment. Boundary-Layer Meteorology, 133, 47-70. (DOI: 10.1007/s10546-009-9414-2).
Levia, D. F., and E. E. Frost, 2004: Assessment of climatic suitability for the expansion of Solenopsis invicta Buren in Oklahoma using three general circulation models. Theoretical and Applied Climatology, 79, 23-30. (DOI: 10.1007/s00704-004-0067-2).
Lewis, C. S., H. M. Geli, and C. M. Neale, 2014: Comparison of the NLDAS Weather Forcing Model to Agrometeorological Measurements in the western United States. J. of Hydrol., 510, 385-392. (DOI: 10.1016/j.jhydrol.2013.12.040).
Li, W., S. Stadler, and R. Ramakumar, 2011: Modeling and Assessment of Wind and Insolation Resources with a Focus on Their Complementary Nature: A Case Study of Oklahoma. Annals of the Assoc. of Amer. Geog., 101(4), 717-729. (DOI: 10.1080/00045608.2011.567926).
Li, Z and G. Zhang, 2022: Differences in Spectrum Width Estimates between Electronic Scans and Mechanical Scans with a Phased Array Weather Radar. IEEE Geoscience and Remote Sensing Letters, , . (DOI: 10.1109/LGRS.2022.3186666).
Li, Z., N. Wang, A. Franzen, P. Taher, C. Godsey, H. Zhang, and X. Li, 2014: Practical deployment of an in-field soil property wireless sensor network. Computer Standards and Interfaces, 36(2), 278287. (DOI: 10.1016/j.csi.2011.05.003).
Li, Z., Y. Zhang, and S. E. Giangrande, 2012: Rainfall-Rate Estimation Using Gaussian Mixture Parameter Estimator: Training and Validation. J. of Atmos. and Ocean. Tech, 29, 731-744. (DOI: 10.1175/JTECH-D-11-00122.1).
Lievens, H., R. H. Reichle, Q. Liu, G. J. M. De Lannoy, R. S. Dunbar, S. B. Kim, N. N. Das, M. Cosh, J. P. Walker, and W. Wagner, 2017: Joint Sentinel-1 and SMAP data assimilation to improve soil moisture estimates. Geophys. Res. Lett., 44, 6145-6153. (DOI: 10.1002/2017GL073904).
Lin, X., R. A. Pielke Sr, R. Mahmood, C. A. Fiebrich, and R. Aiken, 2016: Observational evidence of temperature trends at two levels in the surface layer. Atmos. Chem. Phys., 16, 827-841. (DOI: 10.5194/acp-16-827-2016).
Lin, X., R. A. Pielke Sr., K. G. Hubbard, K. C. Crawford, M. A. Shafer, and T. Matsui, 2007: An examination of 1997 - 2007 surface layer temperature trends at two heights in Oklahoma. Geophysical Research Letters, 34, L24705. (DOI: 10.1029/2007GL031652).
Lindley, T. T., A. R. Anderson, V. N. Mahale, T. S. Curl, W. E. Line, S. S. Lindstrom, and A. S. Bachmeier, 2016: Wildfire detection notifications for impact-based decision support services in Oklahoma using geostationary super rapid scan satellite imagery. J. Operational Meteor, 4(14), 182-191. (DOI: 10.15191/nwajom.2016.0414).
Lindsay, K.R., M. P. Popp, C. P. West, A. J. Ashworth, A. C. Rocateli, R. Farris, V. G. Kakani, F. B. Fritschi, et al., 2018: Predicted harvest time effects on switchgrass moisture content, nutrient concentration, yield, and profitability. Biomass and Bioenergy, 108, 74-89. (DOI: 10.1016/j.biombioe.2017.09.017).
Lindsey, D. T., and M. J. Bunkers, 2005: Observations of a severe, left-moving supercell on 4 May 2003. Wea. Forecasting, 20, 15-22. (DOI: 10.1175/WAF-830.1).
Linneman, J. and M. Palmer, 2006: The effect of Juniperus virginiana on plant species composition in an Oklahoma grassland. Community Ecology, 7(2), 235-244. (DOI:10.1556/ComEc.7.2006.2.10).
Linneman, J.S., M.S. Allen, and M.W. Palmer, 2011: The effects of removal of juniperus virginiana L. trees and litter from a central Oklahoma grassland. Oklahoma Native Plant Record, 11, 43-60.
Lisenbee, W. A., G. A. Fox, A. A. Saenz, and R. B. Miller, 2017: Comparison of Field Jet Erosion Tests and WEPP-Predicted Erodibility Parameters for Varying Land Cover. Transactions of the ASABE, 60(1), 173-184. (doi: 10.13031/trans.12012).
Liu, H. and M. Xue, 2008: Prediction of Convective Initiation and Storm Evolution on 12 June 2002 during IHOP_2002. Part I: Control Simulation and Sensitivity Experiments. Mon. Wea. Rev., 136, 2261-2282. (DOI: 10.1175/2007MWR2161.1).
Liu, H., S. Sorooshian, and X. Gao, 2015: Assessment of the Spatial and Seasonal Variation of Error-Intensity Relationship in Satellite Precipitation using an Adaptive Parametric Model. J. of Hydromet., 16, 1700-1716. (DOI: 10.1175/JHM-D-14-0219.1).
Liu, W., Y. Hong, Khan S. I., M. Huang, B. Vieux, S. Caliskan, and T. Grout, 2010: Actual evapotranspiration estimation for different land use and land cover in urban regions using Landsat 5 data. J. Appl. Remote Sens., 4, 041873. (DOI: 10.1117/1.3525566).
Liu, W., Y. Hong, S. Khan, M. Huang, T. Grout, and P. Adhikari, 2011: Evaluation of Global Daily Reference ET Using Oklahoma’s Environmental Monitoring Network—MESONET. Water Res. Management, 25 (6), 1601-1613.
Liu, X., S. J. Rees, and J. D. Spitle, 2007: Modeling snow melting on heated pavement surfaces. Part II: Experimental validation. Applied Thermal Engineering, 27, 1125-1131. (DOI: 10.1016/j.applthermaleng.2006.07.029).
Liu, Y. ,W. Jing, Q. Wang, and X. Xia, 2020: Generating high-resolution soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms. Advances in Water Resources, , . (DOI: 10.1016/j.advwatres.2020.103601).
Liu, Y., F. Chen, T. Warner, and J. B. Basara, 2006: Verification of a mesoscale data-assimilation and forecasting system for the Oklahoma City area during the Joint Urban 2003 Field Project. J. Appl. Meteor. Clim., 45, 912-929. (DOI: 10.1175/JAM2383.1).
Liu, Y., L. Yao, W. Jing, L. Di, J. Yang, and Y. Li, 2020: Comparison of two satellite-based soil moisture reconstruction algorithms: A case study in the state of Oklahoma, USA. Journal of Hydrology, 590, p.125406. (DOI: 10.1016/j.jhydrol.2020.125406).
Liu, Y., Y. Yang, and X. Yue, 2018: Evaluation of Satellite-Based Soil Moisture Products over Four Different Continental In-Situ Measurements. Remote Sens., 10(7), 1161. (DOI: 10.3390/rs10071161).
Llamas, R.M. M. Guevara, D. Rorabaugh, M. Taufer, and R. Vargas, 2020: Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression. Remote Sensing, 12(4), . (DOI: 10.3390/rs12040665).
Lofton, J., D.B. Arnall, S. Sharma, and C. Nisly, 2019: Evaluating Starter Fertilizer Applications in Grain Sorghum Production. Agrosystems, 2(1), 6 pp. (DOI: 10.2134/age2019.01.0004).
Lollato, R. P. and J. T. Edwards, 2015: Maximum attainable wheat yield and resource-use efficiency in the southern Great Plains. Crop Science, 55(6), 2863-2876. (DOI: 10.2135/cropsci2015.04.0215).
Lollato, R. P., A. Patrignani, T. E. Ochsner, and J. T. Edwards, 2016: Prediction of Plant Available Water at Sowing for Winter Wheat in the Southern Great Plains. Agronomy Journal, 108(2), 745-757. (DOI: 10.2134/agronj2015.0433).
Lollato, R. P., J. T. Edwards, and T. E. Ochsner, 2017: Meteorological limits to winter wheat productivity in the U.S. southern Great Plains. Field Crops Research, 203, 212-226. (DOI: 10.1016/j.fcr.2016.12.014).
Lollato, R.P., K. Roozeboom, J.F. Lingenfelser, C.L. da Silva, and G. Sassenrath, 2020: Soft winter wheat outyields hard winter wheat in a subhumid environment: Weather drivers, yield plasticity, and rates of yield gain. Crop Science, 60, 1617-1633. (DOI: 10.1002/csc2.20139).
Londe, D. W., S. D. Fuhlendorf, R. D. Elmore, and C. A. Davis, 2019: Landscape heterogeneity influences the response of grassland birds to energy development. Wildlife Biology, 2019(1), . (DOI: 10.2981/wlb.00523).
Londe, D.W., R. Dwayne Elmore, C.A. Davis, S.D. Fuhlendorf, B. Luttbeg, and T.J Hovick, 2020: Structural and compositional heterogeneity influences the thermal environment across multiple scales. Ecosphere, 11(11), e03290. (DOI: 10.1002/ecs2.3290).
Londe, D.W., D. Dvorett, C.A. Davis, S.R. Loss, and E.P. Robertson, 2022: Inundation of depressional wetlands declines under a changing climate. Climatic Change, 172, . (DOI: 10.1007/s10584-022-03386-z).
Londe, D.W., R.D. Elmore, C.A. Davis, S.D. Fuhlendorf, T.J. Hovick, B. Luttbeg, and J. Rutledge, 2020: Weather Influences Multiple Components of Greater Prairie‐Chicken Reproduction. Wildlife Management, 2020, 1-14. (DOI: 10.1002/jwmg.21957).
Londe, D.W., R.D. Elmore, C.A. Davis, S.D. Fuhlendorf, T.J. Hovick, B. Luttbeg, and J. Rutledge, 2021: Fine-scale habitat selection limits trade-offs between foraging and temperature in a grassland bird. Behavioral Ecology, , . (DOI: 10.1093/beheco/arab012).
Looper, J.P., B.E. Vieux, and M.A. Moreno, 2012: Assessing the impacts of precipitation bias on distributed hydrologic model calibration and prediction accuracy. J. of Hydrol., 418-419, 110-122. (DOI: 10.1016/j.jhydrol.2009.09.048).
Lopez, J.W., T.P. DuBose, A.J. Franzen, C.L. Atkinson and C.C. Vaughn, 2022: Long-term monitoring shows that drought sensitivity and riparian land use change coincide with freshwater mussel declines. Aquatic Conservation: Marine and Freshwater Ecosystems, , 1-13. (DOI: 10.1002/aqc.3884).
Loss, S. R., S. Paudel, C. M. Laughlin, and C. Zou, 2017: Local-scale correlates of native and non-native earthworm distributions in juniper-encroached tallgrass prairie. Biological Invasions, 19 (5), 1621-1635. (DOI: 10.1007/s10530-017-1383-7).
Lu, H., Q. Xu, M. Yao, and S. Gao, 2011: Time-Expanded Sampling for Ensemble-Based Filters: Assimilation Experiments with Real Radar Observations. Adv. In Atmos. Sci., 28 (4), 743-757. (DOI: 10.1007/s00376-010-0021-4).
Lu, Y. Y., R. J. Doviak, and C. Crisp, 1996: Estimating large-scale vorticity using VAD products and reflectivity. J. Atmos. Oceanic Technol., 13, 1129-1138. (DOI: 10.1175/1520-0426(1996)013<1129:ELSVUV>2.0.CO;2).
Lucker, B. F., C. C. Hall, R. Zegarac, and D. M. Kramer, 2014: The environmental photobioreactor (ePBR): An algal culturing platform for simulating dynamic natural environments. Algal Reserch, 6, 242-249. (DOI: 10.1016/j.algal.2013.12.007).
Luo, L., A. Robock, K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, D. Lohmann, B. Cosgrove, F. Wen, and Coauthors, 2003: Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great Plains. J. Geophys. Res., 108, D22. (DOI: 10.1029/2002JD003246).
MacGorman, D. R., M. S. Elliott, and E. DiGangi, 2017: Electrical discharges in the overshooting tops of thunderstorms. J. Geophys. Res. Atmos., 122, 2929-2957. (DOI: 10.1002/2016JD025933).
Mackaro, S.M., R.T. McNider, and A.P. Biazar, 2012: Some Physical and Computational Issues in Land Surface Data Assimilation of Satellite Skin Temperatures. Pure Appl. Geophys, 169, 401-414. (DOI: 10.1007/s00024-011-0377-0).
MacKown, C. T. Carver,B. F., J. T. Edwards, 2008: Occurrence of Condensed Tannins in Wheat and Feasibility for Reducing Pasture Bloat. Crop Sci., 48, 2470-2480.
MacKown, C. T., and B. F. Carver, 2005: Fall forage biomass and nitrogen composition of winter wheat populations selected from grain-only and dual-purpose environments. Crop Sci., 45, 322-328. (DOI:10.2135/cropsci2005.0322).
MacKown, C. T., J. J. Heitholt, and S. C. Rao, 2007: Agronomic feasibility of a continuous double crop of winter wheat and soybean forage in the Southern Great Plains. Crop Sci., 47, 1652-1660. (DOI: 10.2135/cropsci2006.10.0683).
Magas, O. K., J. T. Gunter, and J. L. Regens, 2006: Ambient air pollution and daily pediatric hospitalizations for asthma. Environmental Science and Pollution Research, 14, 19-23.
Maggard, A. O., R. E. Will, D. S. Wilson, C. R. Meek, and J. G. Vogel, 2017: Fertilization can compensate for decreased water availability by increasing the efficiency of stem volume production per unit of leaf area for loblolly pine (Pinus taeda) stands. Canadian Journal of Forest Research, 47(4), 445-457. (DOI: 10.1139/cjfr-2016-0422).
Maggard, A., R. Will, D. Wilson, and C. Meek, 2016: Response of Mid-Rotation Loblolly Pine (Pinus taeda L.) Physiology and Productivity to Sustained, Moderate Drought on the Western Edge of the Range. Forests, 7(9), 203. (DOI: 10.3390/f7090203).
Maggioni, V., E. N. Anagnostou, and R. H. Reichle, 2012: The impact of land model structural, parameter, and forcing errors on the characterization of soil moisture uncertainty. Hydrol. Earth Syst. Sci. Discuss., 9, 2283-2319. (DOI: 10.5194/hessd-9-2283-2012).
Maggioni, V., E. N. Anagnostou, and R. H. Reichle, 2012: The impact of model and rainfall forcing errors on characterizing soil moisture uncertainty in land surface modeling. Hydrol. Earth Syst. Sci. Discuss., 16, 3499-3515. (DOI: 10.5194/hess-16-3499-2012).
Maggioni, V., R. H. Reichle, and E. N. Anagnostou, 2011: The Effect of Satellite Rainfall Error Modeling on Soil Moisture Prediction Uncertainty. J. Hydrometeor, 12, 413–428. (DOI: 10.1175/2011JHM1355.1).
Maggioni, V., R. H. Reichle, E. N. Anagnostou, 2013: The Efficiency of Assimilating Satellite Soil Moisture Retrievals in a Land Data Assimilation System Using Different Rainfall Error Models. J. Hydrometeor, 14, 368-374. (DOI: 10.1175/JHM-D-12-0105.1).
Magsig, M. A., and J. T. Snow, 1998: Long-Distance Debris Transport by Tornadic Thunderstorms. Part I: The 7 May 1995 Supercell Thunderstorm. Monthly Weather Review, 126, 1430-1449. (DOI: 10.1175/1520-0493(1998)126<1430:LDDTBT>2.0.CO;2).
Mahajan, R. L., B. M. Fichera, and T. W. Horst, 2005: Mechanically aspirated radiation shields: A CFD and neural network design analysis. International Journal of HeataAnd Mass Transfer, 48(14), 2856-2867. (DOI: 10.1016/j.ijheatmasstransfer.2005.01.026).
Mahale, V. N., G. Zhang, and M. Xue, 2016: Characterization of the 14 June 2011 Norman, Oklahoma, Downburst through Dual-Polarization Radar Observations and Hydrometeor Classification. J. Appl. Meteor. Climatol., 55, 2635-2655. (DOI: 10.1175/JAMC-D-16-0062.1).
Mahale, V. N., J. A. Brotzge, and H. B. Bluestein, 2012: An Analysis of Vortices Embedded within a Quasi-Linear Convective System Using X-Band Polarimetric Radar. Wea. Forecasting, 27, 1520-1537. (DOI: 10.1175/WAF-D-11-00135.1).
Mahale, V. N., J. A. Brotzge, and H. B. Bluestein, 2014: The Advantages of a Mixed-Band Radar Network for Severe Weather Operations: A Case Study of 13 May 2009. Weather and Forecasting, 29, 78-98. (DOI: 10.1175/WAF-D-13-00024.1).
Mahmood, R., R. Boyles, K. Brinson, C. Fiebrich, S. Foster, K. Hubbard, D. Robinson, J. Andresen, and D. Leathers, 2017: Mesonets: Mesoscale Weather and Climate Observations for the United States. Bull. Amer. Meteor. Soc., 98, 1349-1361. (DOI: 10.1175/BAMS-D-15-00258.1).
Mahroof, R. M., P. A. Edde, B. Robertson, J. A. Puckette, and T. W. Phillips, 2010: Dispersal of Rhyzopertha dominica (Coleoptera: Bostrichidae) in Different Habitats. Environmental Entomology, 39, 930-938. (DOI: 10.1603/EN09243).
Major, K. M., A. E. Kirkwood, C. S. Major, J. W. McCreadie, and W. J. Henley, 2005: In situ studies of algal biomass in relation to physicochemical characteristics of the Salt Plains National Wildlife Refuge, Oklahoma, USA. Saline Systems, 1:11, Online. (DOI: 10.1186/1746-1448-1-11).
Makaju, S.O., Y. Q. Wu, H. Zhang, V. G. Kakani, C. M. Taliaferro, and M. P. Anderson, 2013: Switchgrass Winter Yield, Year-Round Elemental Concentrations, and Associated Soil Nutrients in a Zero Input Environment. Agronomy Journal, 105 (2), 463-470. (DOI: 10.2134/agronj2012.0286).
Mallick, A. and T. A. Jones, 2020: Assimilation of GOES-16 satellite derived winds into the warn-on-forecast system. Atmospheric Research, , . (DOI: 10.1016/j.atmosres.2020.105131).
Mallick, S. and T.A. Jones, 2022: Impact of adaptively thinned GOES-16 all-sky radiances in an ensemble Kalman filter based WoFS. Atmospheric Research, 277, . (DOI: 10.1016/j.atmosres.2022.106304).
Markowski, P. M., 2002: Mobile mesonet observations on 3 May 1999. Wea. Forecasting, 17, 430-444. (DOI: 10.1175/1520-0434(2002)017<0430:MMOOM>2.0.CO;2).
Markowski, P. M., and J. M. Straka, 2000: Some observations of rotating updrafts in a low-buoyancy, highly sheared environment. Mon Wea. Rev., 128, 449-461. (DOI: 10.1175/1520-0493%282000%29128<0449%3ASOORUI>2.0.CO%3B2).
Markowski, P. M., E. N., Rasmussen, and J. M. Straka, 1998: The occurrence of tornadoes in supercells interacting with boundaries during VORTEX-95. Wea. Forecasting, 13, 852-859. (DOI: 10.1175/1520-0434(1998)013<0852:TOOTIS>2.0.CO;2).
Markowski, P. M., E. N., Rasmussen, J. M. Straka, and D. C. Dowell, 1998: Observations of low-level baroclinity generated by anvil shadows. Mon Wea. Rev., 126, 2942-2958. (DOI: 10.1175/1520-0493(1998)126<2942:OOLLBG>2.0.CO;2).
Markowski, P. M., J. M. Straka, and E. N., Rasmussen, 2002: Direct surface thermodynamic observations within the rear-flank downdrafts of nontornadic and tornadic supercells. Mon Wea. Rev., 130, 1692-1721. (DOI: 10.1175/1520-0493(2002)130<1692:DSTOWT>2.0.CO;2).
Markowski, P. M., J. M. Straka, E. N., Rasmussen, and D. O. Blanchard, 1998: Variability of storm-relative helicity during VORTEX. Mon Wea. Rev., 126, 2959-2971. (DOI: 10.1175/1520-0493(1998)126<2959:VOSRHD>2.0.CO;2).
Markowski, P., and C. Hannon, 2006: Multiple-Doppler Radar Observations of the Evolution of Vorticity Extrema in a Convective Boundary Layer. Mon Wea. Rev., 134, 355-374. (DOI: 10.1175/MWR3060.1).
Markowski, P., and Y. Richardson, 2007: Observations of Vertical Wind Shear Heterogeneity in Convective Boundary Layers. Mon Wea. Rev., 135, 843-861. (DOI: 10.1175/MWR3334.1).
Markowski, P., C. Hannon, and E. Rasmussen, 2006: Observations of Convection Initiation "Failure" from the 12 June 2002 IHOP Deployment. Mon Wea. Rev., 134, 375-405. (DOI: 10.1175/MWR3059.1).
Marks, S. K., J. D. Vitek, J. R. Giardino, and K. C. McQueen, 2002: Creating curricular change: needs in grades 8-12 earth science. Geomorphology, 47, 261-273. (DOI: 10.1016/S0169-555X(02)00088-0).
Marshall, C. H., K. Crawford, K. Mitchell, and D. Stensrud, 2003: The impact of the land-surface physics in the operational NCEP Eta model on simulating the diurnal cycle: evaluation and testing using Oklahoma Mesonet data. Wea. Forecasting, 18, 748-768. (DOI: 10.1175/1520-0434(2003)018<0748:TIOTLS>2.0.CO;2).
Marsham, J.H., S.B. Trier, T.M. Weckwerth, J.W. Wilson, 2011: Observations of Elevated Convection Initiation Leading to a Surface-Based Squall Line during 13 June IHOP_2002. Mon. Wea. Rev., 139, 247-271. (DOI: 10.1175/2010MWR3422.1).
Martin, R., R., Aler, J.M. Valls, and I. M. Galvan, 2016: Machine learning techniques for daily solar energy prediction and interpolation using numerical weather models. Concurrency Computat.: Pract. Exper., 28, 1261-1274. (DOI: 10.1002/cpe.3631).
Martinez, J. E., C. E. Duchon, and W. L. Crosson, 2001: Effect of the number of soil layers on a modeled surface water budget. Water Resour. Res., 37, 367-377. (DOI: 10.1029/2000WR900298).
Masasi, B., S. Taghvaeian, P.H. Gowda, G. Marek, and R. Boman, 2020: Validation and application of AquaCrop for irrigated cotton in the Southern Great Plains of US. Irrigation Science , , 1-15. (DOI: 10.1007/s00271-020-00665-4).
Masasi, B., S. Taghvaeian, P.H. Gowda, J. Warren, and G. Marek, 2019: Simulating Soil Water Content, Evapotranspiration, and Yield of Variably Irrigated Grain Sorghum Using AquaCrop. Journal of the American Water Resources Association, , 1-18. (DOI: 10.1111/1752-1688.12757).
Masasi, B., S. Taghvaeian, R. Boman, and S. Datta, 2019: Impacts of Irrigation Termination Date on Cotton Yield and Irrigation Requirement. Agriculture, 9(2), 39. (DOI: 10.3390/agriculture9020039).
Mascaro, G., E. R. Vivoni, and R. Deidda, 2010: Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting. journal of Hydrometeorology, 11, 69-86. (DOI: 10.1175/2009JHM1144.1).
Massey J., J. Antonangelo, and H. Zhang, 2020: Nitrogen Fertilization and Harvest Timing Affect Switchgrass Quality. Resources, 6 (61), 15 pp. (DOI: :10.3390/resources9060061).
Massey, J, J.Antonangelo, and H. Zhang, 2020: Nutrient Dynamics in Switchgrass as a Function of Time. Agronomy, 10, 940. (DOI: 10.3390/agronomy10070940).
Mathews, A. J., M. Haffner, and E. A. Ellis, 2017: GIS-based modeling of tornado siren sound propagation: Refining spatial extent and coverage estimations. International Journal of Disaster Risk Reduction, 23, 36-44. (DOI: 10.1016/j.ijdrr.2017.04.004).
McCabe, M., E. Wood, H. Su, R. Vinukollu, C. Ferguson, and Z. Su, 2011: Multisensor Global Retrievals of Evapotranspiration for Climate Studies Using the Surface Energy Budget System. Land Remote Sensing and Global Env. Change, 11(5), 747-778. (DOI: 10.1007/978-1-4419-6749-7_33).
McCollum, J. R., W. F. Krajewski, R. R. Ferraro, M. B. Ba, 2002: Evaluation of biases of satellite rainfall estimation algorithms over the continental United States. J. Appl. Meteor., 41, 1065-1080. (DOI: 10.1175/1520-0450(2002)041<1065:EOBOSR>2.0.CO;2).
McCombs, A. G. and M. Yuan, 2016: Assessment of the importance of moderate spatial resolution cloud climatology data in solar radiation modeling. Physical Geography, 37:5, 313-326. (DOI: 10.1080/02723646.2016.1204205).
McCombs, A. G., and M. Yuan, 2016: Assessment of the importance of moderate spatial resolution cloud climatology data in solar radiation modeling. Physical Geography, 37:5, 313-326. (DOI: 10.1080/02723646.2016.1204205).
McCoshum, S. M., and K. A. Baum, 2014: Sex ratios and Ophryocystis elektroscirrha infection levels of Danaus plexippus during spring migration through Oklahoma, USA. Entomologia Experimentalis et Applicata, 153(3), 266-272. (DOI: 10.1111/eea.12248).
McGovern, A., D. J. Gagne II, J. B. Basara, T. M. Hamill, and D. Margolin, 2015: Solar Energy Prediction: An International Contest to Initiate Interdisciplinary Research on Compelling Meteorological Problems. Bulletin of the American Meteorological Society, August 2015, 1388-1395. (DOI: 10.1175/BAMS-D-14-00006.1).
McGovern, A., D. J. Gagne II, J. K. Williams, R. A. Brown, and J. B. Basara, 2014: Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning. Machine Learning, 95, 27-50. (DOI: 10.1007/s10994-013-5343-x).
McGovern, A., K. L. Elmore, D. J. Gagne, S. E. Haupt, C. D. Karstens, R. Lagerquist, T. Smith, and J. K. Williams, 2017: Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather. Bull. Amer. Meteor. Soc., 98, 2073-2090. (DOI: 10.1175/BAMS-D-16-0123.1).
McGranahan, D. A., D. M. Engle, S. D. Fuhlendorf, S. L. Winter, J. R. Miller, and D. M. Debinski, 2013: Inconsistent outcomes of heterogeneity-based management underscore importance of matching evaluation to conservation objectives. Environmental Science and Policy, 31, 53-60. (DOI: 10.1016/j.envsci.2013.03.005).
McGranahan, D.A., D.M. Engle, S.D. Fuhlendorf, S.J. Winter, J.R. Miller, and D.M. Debinski, 2012: Spatial heterogeneity across five rangelands managed with pyric-herbivory. J. of Appl. Ecology, 49 (4), 903-910. (DOI: 10.1111/j.1365-2664.2012.02168.x).
McKnight, D. T. and D. B. Ligon, 2016: Chorusing PAtterns of a Diverse Anuran Community with an Emphasis on Southern Crawfish Frogs (Lithobates Areolatus Areolatus). Journal of North American Herpetology, 2016(1), 1-10.
McManus, G., T. W. Schmidlin, and C. A. Fiebrich, 2013: A New Minimum Temperature Record for Oklahoma. Bulletin of the American Meteorological Society, 94(4), 469-471. (DOI: 10.1175/BAMS-D-11-00169.1).
McMillan, N.A. S.D. Fuhlendorf, L.E. Goodman, C.A. Davis, B. Luttbeg, and R.G. Hamilton, 2022: Does fire and herbicide benefit cattle production in invaded grassland landscapes?. Agriculture, Ecosystems & Environment, 340, . (DOI: 10.1016/j.agee.2022.108163).
McNeff, C., J. Talley, C.A. Robison, and B.K. Wilson, 2020: The effects of fly control strategies on fly abundance, fly avoidance behaviors, and performance in feedlot bulls and steers. Journal of Animal Science, 98 (2), 62-63. (DOI: 10.1093/jas/skz397.143).
McPherson, R. A., 2007: A review of vegetation-atmosphere interactions and their influences on mesoscale phenomena. Progress in Physical Geography, 31, 261-285. (DOI: 10.1177/0309133307079055).
McPherson, R. A., and K. C. Crawford, 1996: The EARTHSTORM Project: encouraging the use of real-time data from the Oklahoma Mesonet in K-12 classrooms. Bull. Amer. Meteor. Soc., 77, 749-761. (DOI: 10.1175/1520-0477(1996)077<0749:EA>2.0.CO;2).
McPherson, R. A., C. Fiebrich, K. C. Crawford, R. L. Elliott, J. R. Kilby, D. L. Grimsley, J. E. Martinez, and Coauthors, 2007: Statewide monitoring of the mesoscale environment: A technical update on the Oklahoma Mesonet. J. Atmos. Oceanic Tech., 24, 301-321. (DOI: 10.1175/JTECH1976.1).
McPherson, R. A., D. J. Stensrud, and K. C. Crawford, 2003: The impact of Oklahoma's winter wheat belt on the mesoscale environment. Mon Wea. Rev., 132, 405-421. (DOI: 10.1175/1520-0493(2004)132<0405:TIOOWW>2.0.CO;2).
McPherson, R. A., J. D. Lane, K. C. Crawford, and W. G. McPherson, 2010: A climatological analysis of heatbursts in Oklahoma (1994-2009). International Journal of Climatology, 31(4), 531-544. (DOI: 10.1002/joc.2087).
McPherson, R.A., and D.J. Stensrud, 2005: Influences of a Winter Wheat Belt on the Evolution of the Boundary Layer. Mon Wea. Rev., 133, 2178-2199. (DOI: 10.1175/MWR2968.1).
McQueen, R.W., M.M. Beverly, S.F. Kelley, and M. Anderson, 2020: Comparing Natural Vegetation and Food Plot Preference against Supplemental Protein Pellets in Captive White-tailed Deer (Odocoileus virginianus) and Exotic Species. Journal of Animal Science, 98 (2), 14. (DOI: 10.1093/jas/skz397.031).
Melnikov, V.M., D.S. Zrni?, R.J. Doviak, P.B. Chilson, D.B. Mechem, Y.L. Kogan, 2011: Prospects of the WSR-88D Radar for Cloud Studies. J. Appl. Meteor. Climatol., 50, 859-872. (DOI: 10.1175/2010JAMC2303.1).
Mendoza-Sanchez, I., M. S. Phanikumar, J. Niu, J. R. Masoner, I. M. Cozzarelli, and J. T. McGuire, 2013: Quantifying wetland–aquifer interactions in a humid subtropical climate region: an integrated approach. Journal of Hydrology, 498, 237-253. (DOI: 10.1016/j.jhydrol.2013.06.022).
Miao, Q., and B. Geerts, 2007: Finescale Vertical Structure and Dynamics of Some Dryline Boundaries Observed in IHOP. Mon Wea. Rev., 135, 4161-4184. (DOI: 10.1175/2007MWR1982.1).
Miller, D. A., S. Wu, and D. Kitzmiller, 2013: Spatial and Temporal Resolution Considerations in Evaluating and Utilizing Radar Quantitative Precipitation Estimates. Journal of Operational Meteorology, 1(15), 168-184. (DOI: 10.15191/nwajom.2013.0115).
Miller, G.A., R.W. Collins, K.K. Muraleetharan, and T.Z. Abuawad, 2021: Application of in situ tests in unsaturated soils to analysis of spread footings. Soils and Rocks. SciELO Brazil, 44 (3), e2021065321. (DOI: 10.28927/SR.2021.065321).
Miller, J. L., and D. B. Ligon, 2014: Sex ratios in naturally incubating Macrochelys temminckii nests, a species with type II temperature-dependent sex determination. Journal of Thermal Biology, 39, 6-11. (DOI: 10.1016/j.jtherbio.2013.11.002).
Miller, W.J.S., C.K. Potvin, M.L. Flora, B.T. Gallo, L.J. Wicker, T.A. Jones, P.S. Skinner, B. Matilla, and K.H. Knopfmeier, 2021: Exploring the Usefulness of Downscaling Free Forecasts from the Warn-on-Forecast System. Weather and Forecasting, , . (DOI: 10.1175/WAF-D-21-0079.1).
Mills, B.W. Brorsen, E. Tostao, and J.T. Biermacher, 2022: Wheat nitrogen response conditional on past yield and rainfall: A step in improving optimal nitrogen applications. Agricultural and Environmental Letters, 7 (1)), e20061. (DOI: 10.1002/ael2.20061).
Mishra, V., J. F. Cruise, J. R. Mecikalski, C. R. Hain, and M. C. Anderson, 2013: A remote-sensing driven tool for estimating crop stress and yields. Remote Sensing, 5(7), 3331-3356. (DOI: 10.3390/rs5073331).
Mitchell, K. E., D, Lohmann , P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, B. A. Cosgrove, J. Sheffield, and Coauthors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., 109, D07S90. D07S90.1-D07S90.32 .
Mittelstat, A. R., D. E. Storm, and M. J. White, 2016: Using SWAT to enhance watershed-based plans to meet numeric water quality standards. Sustainability of Water Quality and Ecology, 7, 5-21. (DOI: 10.1016/j.swaqe.2016.01.002).
Mo, K.C., L.N. Long, Y. Xia, S.K. Yang, J.E. Schemm, and M. Ek, 2011: Drought Indices Based on the Climate Forecast System Reanalysis and Ensemble NLDAS. J. of Hydromet., 12, 181-205. (DOI: 10.1175/2010JHM1310.1).
Moehlenpah, A.N., L.P. Ribeiro, R. Puchala, A.L. Goetsch, P. Beck, A. Pezeshki, M.A. Gross, A.L. Holder, and D.L. Lalman, 2021: Water and forage intake, diet digestibility, and blood parameters of beef cows and heifers consuming water with varying concentrations of total dissolved salts. Journal of Animal Science, 99(10), p.skab282. (DOI: 10.1093/jas/skab282).
Mohammed, Y. A., J. Kelly, B. K. Chim, E. Rutto, K. Waldschmidt, J. Mullock, G. Torres, K. G. Desta, and W. Raun, 2013: Nitrogen fertilizer management for improved grain quality and yield in winter wheat in Oklahoma. Journal of Plant Nutrition, 36, 749-761. (DOI: 10.1080/01904167.2012.754039).
Mohanty, B. P., J. S. Famiglietti, and T. H. Skaggs, 2000: Evolution of soil moisture spatial structure in a mixed vegetation pixel during the Southern Great Plains 1997 (SGP97) Hydrology Experiment. Water Resources Research, 36, 3675-3686. (DOI: 10.1029/2000WR900258).
Mohr, K. I., J. S. Famiglietti, A. Boone, and P. J. Starks, 2000: Modeling soil moisture and surface flux variability with an untuned land surface scheme: A case study from the Southern Great Plains 1997 Hydrology Experiment. J. Hydrometeor., 1, 154-169. (DOI: 10.1175/1525-7541(2000)001<0154:MSMASF>2.0.CO;2).
Monroe, A. P., and T. J. O'Connell, 2014: Winter bird habitat use in a heterogeneous tallgrass prairie. The American Midland Naturalist, 171(1), 97-115. (DOI: 10.1674/0003-0031-171.1.97).
Monteverdi, J. P., and R. Edwards, 2010: The redevelopment of a warm core structure in Erin: A case of inland tropical storm formation. Electronic J. Severe Storms Meteor., 5 (6), 1-18.
Moore, B. F., G. B. Anderson, M. G. Johnson, S. Brown, K. K. Bradley, and S. Magzamen, 2017: Case-crossover analysis of heat-coded deaths and vulnerable subpopulations: Oklahoma, 1990–2011. International Journal of Biometeorology, 61 (11), 1973-1981. (DOI: 10.1007/s00484-017-1387-0).
Moore, B., J.T. Biermacher, B.W. Brorsen, M. Johnson, B. Nichols, and E. Whitley, 2021: Effects of a transitional supplement on beef heifers grazing wheat pasture. Applied Animal Science, 37 (5), 602-613. (DOI: 10.15232/aas.2021-02168).
Moore, K. G. and C. L. Jones, 2017: Impact of a polyethylene liner on the storage of winter canola seed in unaerated steel bins. Journal of Stored Products Research, 73, 125-128. (DOI: 10.1016/j.jspr.2017.08.003).
Moriasi, D.N. and P. J. Starks, 2010: Effects of the resolution of soil dataset and precipitation dataset on SWAT2005 streamflow calibration parameters and simulation accuracy. Journal of Soil and Water Conservation, 65(2), 63-78. (DOI: 10.2489/jswc.65.2.6).
Moriasi, D.N., N. Pai, J. L. Steiner, P. H. Gowda, M. Winchell, H. Rathjens, P. J. Starks, and J. Al. Verse, 2019: SWAT-LUT: A Desktop Graphical User Interface for Updating Land Use in SWAT. J. of the American Water Resources Association, , 13 pp. (DOI: 10.1111/1752-1688.12789).
Moriasi, D.N., P. J. Starks, J. L. Steiner, J. A. Guzman, P. B. Allen, and J. W. Naney, 2014: Upper Washita River experimental watersheds: Physiography data. Journal of Environmental Quality, 43(4), 1298-1309. (DOI: 10.2134/jeq2013.08.0337).
Morris, D. A., K. C. Crawford, K. A. Kloesel, and G. Kitch, 2002: OK-FIRST: an example of successful collaboration between the meteorological and emergency response communities on 3 May 1999. Wea. Forecasting, 17, 567-576. (DOI: 10.1175/1520-0434(2002)017<0567:OFAEOS>2.0.CO;2).
Morris, D. A., K. C. Crawford, K. A. Kloesel, and J. M. Wolfinbarger, 2001: OK-FIRST: a meteorological information system for public safety. Bull. Amer. Meteor. Soc., 82, 1911-1923. (DOI: 10.1175/1520-0477(2001)082<1911:OFAMIS>2.3.CO;2).
Morrison, H., S. A. Tessendorf, K. Ikeda, and G. Thompson, 2012: Sensitivity of a Simulated Midlatitude Squall Line to Parameterization of Raindrop Breakup. Mon. Wea. Rev., 140, 2437-2460.
Morrissey, M. L., A. Albers, J. S. Greene, and S. Postawko, 2010: An Isofactorial Change-of-Scale Model for the Wind Speed Probability Density Function. Journal of Atmospheric and Oceanic Technology, 27, 257-273. (DOI: 10.1175/2009JTECHA1313.1).
Morrissey, M. L., and J. S. Greene, 1998: Using the Oklahoma Mesonet to develop and test a sampling error statistic for meteorological time series. J. Geophys. Res., 108, 8979-8984. (DOI: 10.1029/98JD00082).
Morrissey, M. L., J. A. Maliekal, J. S. Greene, and J. M. Wang, 1995: The uncertainty of simple spatial averages using rain-gauge networks. Water Resources Research, 31(8), 2011-2017. (DOI: 10.1029/95WR01232).
Morrissey, M. L., W. E. Cook, and J. S. Greene, 2010: An Improved Method for Estimating the Wind Power Density Distribution Function. Journal of Atmospheric and Oceanic Technology, 27, 1153-1164. (DOI: 10.1175/2010JTECHA1390.1).
Morrissey, M.L., and J.S. Greene, 2012: Tractable Analytic Expressions for the Wind Speed Probability Density Functions Using Expansions of Orthogonal Polynomials. J. Appl. Meteor. Climatol., 51, 1310–1320. (DOI: 10.1175/JAMC-D-11-0236.1).
Mosali, J., J. T. Biermacher, B. Cook, and J. Blanton, 2013: Bioenergy for cattle and cars: a switchgrass production system that engages cattle producers. Agronomy Journal, 105(4), 960-966. (DOI: 10.2134/agronj2012.0384).
Moser, G. and S. B. Serpico, 2009: Automatic Parameter Optimization for Support Vector Regression for Land and Sea Surface Temperature Estimation From Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing, 47, 909-921. (DOI: 10.1109/TGRS.2008.2005993).
Mullens, E. D., L. M. Leslie, and P. J. Lamb, 2016: Impacts of Gulf of Mexico SST Anomalies on Southern Plains Freezing Precipitation: ARW Sensitivity Study of the 28–30 January 2010 Winter Storm. J. Appl. Meteor. Climatol., 55, 119-143. (DOI: 10.1175/JAMC-D-14-0289.1).
Mullens, E. D., L. M. Leslie, and P. J. Lamb, 2016: Synoptic Pattern Analysis and Climatology of Ice and Snowstorms in the Southern Great Plains, 1993–2011. Wea. Forecasting, 31, 1109-1136. (DOI: 10.1175/WAF-D-15-0172.1).
Muller, C. L., L. Chapman, C. S. B. Grimmond, D. T. Young, and X. Cai, 2013: Sensors and the city: a review of urban meteorological networks. Intl. J. of Clim., 33, 1585-1600. (DOI: 10.1002/joc.3678).
Murley, C. B., S. Sharma, J. G. W., D. B. Arnall, and W. R. Raun,, 2018: Yield response of corn and grain sorghum to row offsets on subsurface drip laterals. Agricultural Water Management, 208, 357-362. (DOI: 10.1016/j.agwat.2018.06.038).
Murphey, H.V., R.M. Wakimoto, C. Flamant, and D.E. Kingsmill, 2006: Dryline on 19 June 2002 during IHOP. Part I: Airborne Doppler and LEANDRE II Analyses of the Thin Line Structure and Convection Initiation. Mon Wea. Rev., 134, 406-430. (DOI: 10.1175/MWR3063.1).
Na-Yemeh, D.Y. T.A. Legg and L.H. Lambert, 2022: Economic Value of a Weather Decision Support System for Oklahoma Public Safety Officials. Annals of the American Association of Geographers, , . (DOI: 10.1080/24694452.2022.2108747).
Na-Yemeh, D.Y., C.A. Fiebrich, J.E. Hocker, and M.A. Shafer, 2022: Assessing the Impacts of a Weather Decision Support System for Oklahoma Public Safety Officials. Weather, Climate, and Society, , . (DOI: 10.1175/WCAS-D-21-0086.1).
Naeimi, V., K. Scipal, Z. Bartalis, S. Hasenauer and W. Wagner, 2009: An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations. IEEE Transactions on Geoscience and Remote Sensing, 47 (7), 1999-2013. (DOI: 10.1109/TGRS.2008.2011617).
Nallapareddy, A., A. Shapiro, J.J. Gourley, 2011: A Climatology of Nocturnal Warming Events Associated with Cold-Frontal Passages in Oklahoma. J. of Appl. Metr. And Clim., 50, 2042-2061. (DOI: 10.1175/JAMC-D-11-020.1).
Nansen C., E. L. Bonjour, M. W. Gates, T. W. Phillips, G. W. Cuperus, and M. E. Peyton, 2004: Model of Cryptolestes ferrugineus flight activity outside commercial steel grain bins in Central Oklahoma. Environmental Entomology, 33, 426-434. (DOI: 10.1603/0046-225X-33.2.426).
Narasimhan, R., J. Keller, G. Subramaniam, E. Raasch, B. Croley, K. Duncan, and W. T. Potter, 2000: Ozone modeling using neural networks. J. Appl. Meteor., 38, 291-296. (DOI: 10.1175/1520-0450(2000)039%3C0291:OMUNN%3E2.0.CO;2).
Natenberg, E., J. Gao, M. Xue, and F. H. Carr, 2013: Analysis and Forecast of a Tornadic Thunderstorm Using Multiple Doppler Radar Data, 3DVAR, and ARPS Model. Advances in Meteorology, 2013, Article ID 281695, 18 pg. (DOI: 10.1155/2013/281695).
Neiman, P. J., and R. M. Wakimoto, 1999: The Interaction of a Pacific Cold Front with Shallow Air Masses East of the Rocky Mountains. Mon Wea. Rev., 127, 2102-2127. (DOI: 10.1175/1520-0493(1999)127<2102:TIOAPC>2.0.CO;2).
Nelson, A., D. Moriasi, A.-M. Fortuna, J. L. Steiner, P. J. Starks, B. Northup, and J. Garbrecht, 2020: Runoff Water Quantity and Quality Data from Native Tallgrass Prairie and Crop-livestock Systems in Oklahoma between 1977 and 1999. J. of Environmental Quality, , . (DOI: 10.1002/jeq2.20075).
Nelson, B. R., W. F. Krajewski, A. Kruger, J. A. Smith, and M. L. Baeck, 2003: Archival precipitation data set for the Mississippi River Basin: algorithm development. J. Geophys. Res., 108, 8857. doi:10.1029/2002JD003158.
Nemunaitis-Berry, K. L., P. M. Klein, J. B. Basara, and E. Fedorovich, 2017: Sensitivity of Predictions of the Urban Surface Energy Balance and Heat Island to Variations of Urban Canopy Parameters in Simulations with the WRF Model. J. Appl. Meteor. Climatol., 56, 573-595. (DOI: 10.1175/JAMC-D-16-0157.1).
Neumann, L.K., S.D. Fuhlendorf, C.D. Davis, and S.M. Wilder, 2022: Climate alters the movement ecology of a non-migratory bird. Ecology and volution, , 13 pp. (DOI: 10.1002/ece3.8869).
Newhouse, C. P., and E. Levetin, 2004: Correlation of environmental factors with asthma and rhinitis symptoms in Tulsa, OK.. Annals of Allergy, Asthma and Immunology, 92, 356-366. (DOI: 10.1016/S1081-1206(10)61575-X).
Newman, J. F., and P. M. Klein, 2014: The impacts of atmospheric stability on the accuracy of wind speed extrapolation methods. Resources, 3(1), 81-105. (DOI: 10.3390/resources3010081).
Newman, J. F., T. A. Bonin, P. M. Klein, S. Wharton, and R. K. Newsom, 2016: Testing and validation of multi-lidar scanning strategies for wind energy applications. Wind Energ., 19, 2239-2254. (DOI: 10.1002/we.1978).
Nicol, J. C., and A. J. Illingworth, 2013: The effect of phase-correlated returns and spatial smoothing on the accuracy of radar refractivity retrievals. J. Atmos. and Ocean. Tech., 30(1), 22-39. (DOI: 10.1175/JTECH-D-12-00077.1).
Niu, S., R. A. Sherry, X. Zhou, S. Wan, and Y. Luo, 2010: Nitrogen regulation of the climate–carbon feedback: evidence from a long-term global change experiment. Ecology, 91, 3261-3273. (DOI: 10.1890/09-1634.1).
Niyogi, D., T. Holt, S. Zhong, P. C. Pyle, and J. B. Basara, 2006: Urban and land surface effects on the 30 July 2003 MCS event observed in the Southern Great Plains. J. Geophys. Res., 111, D19107. (DOI: 10.1029/2005JD006746).
Norman, J. M., M. C. Anderson, W. P. Kustas, A. N. French, J. Mecikalski, R. Torn, G. R. Diak, T. J. Schmugge, and B.C.W. Tanner, 2003: Remote sensing of surface energy fluxes at 101-m pixel resolutions. Water Resour. Res., 39, 1221. (DOI: 10.1029/2002WR001775).
Northup, B. K. and S. C. Rao, 2015: Green manure and forage potential of lablab in the US southern Plains. Agronomy Journal, 107(3), 1113-1118. (DOI:10.2134/agronj14.0455).
Noto, L. V., 2013: Exploiting the topographic information in a PDM-based conceptual hydrological model. Journal of Hydrologic Engineering, 19(6), 1173-1185. (DOI: 10.1061/(ASCE)HE.1943-5584.0000908).
Nunes Biral, V.C., R.E. Will, and C.B. Zou, 2019: Establishment of Quercus marilandica Muenchh. and Juniperus virginiana L. in the Tallgrass Prairie of Oklahoma, USA Increases Litter Inputs and Soil Organic Carbon. Forests, 10(4), 329. (DOI: 10.3390/f10040329).
Oberheu D. G., and C. B. Dabber, 2001: Aflatoxin production in supplemental feeders provided for northern bobwhite in Texas and Oklahoma.  J. Wildlife Diseases, 37, 475-480. (DOI: 10.7589/0090-3558-37.3.475).
Oberheu D. G., and C. B. Dabber, 2001: Aflatoxin contamination in supplemental and wild foods of northern bobwhite. Ecotoxicology, 10, 125-129. (DOI: 10.1023/A:1008954126530).
Ochsner, T. E., M. H. Cosh, R. H. Cuenca, W. A. Dorigo, C. S. Draper, Y. Hagimoto, Y. H. Kerr, E. G. Njoku, E. E. Small, et. al, 2013: State of the Art in Large-Scale Soil Moisture Monitoring. Soil Sci. Soc. Am. J., 77, 1888-1919. (DOI: 10.2136/sssaj2013.03.0093).
Ochsner, T.E., E. Linde, M. Haffner, and J. Dong, 2019: Mesoscale Soil Moisture Patterns Revealed Using a SparseIn Situ Network and Regression Kriging. Water Resources Research, 55, 4785-4800. (DOI: 10.1029/2018WR024535).
Ogunsola, O. T., and L. Song, 2015: Application of a Simplified Thermal Network Model for Real-Time Thermal Load Estimation. Energy and Buildings, 96, 309-318. (DOI: 10.1016/j.enbuild.2015.03.044).
Oldak, A. T. J. Jackson, Y. Pachepsky, 2002: Using GIS in passive microwave soil moisture mapping and geostatistical analysis.  Int. J. Geographical Information Science, 16, 681-698. (DOI: 10.1080/13658810210149407).
Omara, P., L. Aula, F.B. Oyebiyi, E.M. Eickhoff, J. Carpenter, and W.R. Raun, 2020: Biochar Application in Combination with Inorganic Nitrogen Improves Maize Grain Yield, Nitrogen Uptake, and Use Efficiency in Temperate Soils. Agronomy, 10(9), 13 pp. (DOI: 10.3390/agronomy10091241).
Ovtchinnikov, M., T. Ackerman, R. Marchand, and M. Khairoutdinov, 2006: Evaluation of the multiscale modeling framework using data from the Atmospheric Radiation Measurement program. J. Climate, 19, 1716-1729. (DOI: 10.1175/JCLI3699.1).
Owe, M., R. de Jeu, and J. Walker, 2001: A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE Transactions on Geoscience and Remote Sensing, 39, 1643-1654. (DOI: 10.1109/36.942542).
Owe, M., R. de Jeu, and T. Holmes, 2008: Multisensor historical climatology of satellite-derived global land surface moisture. J. Geophys. Res., 113, F01002. (DOI: 10.1029/2007JF000769).
Pablos, M., A. González-Zamora, N. Sánchez, and J. Martínez-Fernández, 2018: Assessment of root zone soil moisture estimations from SMAP, SMOS and MODIS observations. Remote Sensing, 10(7), p.981. (DOI: 10.3390/rs10070981).
Pablos, M., A. Gonzalez-Zaora, N. Sanchez, and J. Martinez-Fernandez, 2018: Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations. Remote Sens. , 10(7), 981. (DOI: 10.3390/rs10070981).
Palmer, R. D., D. Bodine, M. Kumjian, B. Cheong, G. Zhang, Q. Cao, H.B. Bluestein, A. Ryzhkov, T. Yu and Y. Wang, 2011: Observations of the 10 May 2010 tornado outbreak using OU-PRIME: Potential for new science with high-resolution polarimetric radar. Bull. Amer. Meteor. Soc., 92, 871-891.
Pan, M., and E.F. Wood, 2006: Data assimilation for estimating the terrestrial water budget using a constrained Ensemble Kalman Filter. J. Hydrometeor., 7, 534-547. (DOI: 10.1175/JHM495.1).
Pan, S. and J. Gao, 2022: A Method for Assimilating Pseudo Dewpoint Temperature as a Function of GLM Flash Extent Density in GSI-Based EnKF Data Assimilation System – A Proof of Concept study. Earth and Space Science, , 50 pp. (DOI: 10.1029/2022EA002378).
Pan, W., R. P. Boyles, J. G. White, J. L. Heitman, 2012: Characterizing Soil Physical Properties for Soil Moisture Monitoring with the North Carolina Environment and Climate Observing Network. J. Atmos. Oceanic Technol., 29, 933–943. (DOI: 10.1175/JTECH-D-11-00104.1).
Pandit, M.M., E.S. Bridge, and J.D. Ross, 2022: Environmental conditions lead to shifts in individual communication, which can cause cascading effects on soundscape composition. Ecology and Evolution, , 15 pp. (DOI: 10.1002/ece3.9359).
Parham, J. A., S. P. Deng, H. N. Da, H. Y. Sun, and W. R, Raun, 2003: Long-term cattle manure application in soil. II. Effect on soil microbial populations and community structure. Biology and Fertility of Soils, 38, 209-215. (DOI: 10.1007/s00374-003-0657-7).
Parinussa, R. M., M. T. Yilmaz, M. C. Anderson, C. R. Hain, and R. A. M. Jeu, 2014: An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula. Hydrol. Process., 28(18), 4865-4876. (DOI: 10.1002/hyp.9975).
Pathe, C., W. Wagner, D. Sabel, M. Doubkova, J. B. Basara, 2009: Using ENVISAT ASAR Global Model Data for Surface Soil Moisture Retrieval over Oklahoma. IEEE Transactions on Geoscience and Remote Sensing, 47, 468-480. (DOI: 10.1109/TGRS.2008.2004711).
Patrignani, A., and T.E. Ochsner, 2018: Modeling transient soil moisture dichotomies in landscapes with intermixed land covers. Journal of Hydrology, In Press, . (DOI: 10.1016/j.jhydrol.2018.09.049).
Patrignani, A., C.B. Godsey, and T. E. Ochsner, 2019: No-Till Diversified Cropping Systems for Efficient Allocation of Precipitation in the Southern Great Plains. Agrosystems, Geosciences & Environment, 2(1), . (DOI: 10.2134/age2018.08.0026).
Patrignani, A., C.B. Godsey, T.E. Ochsner, and J.T. Edwards, 2012: Soil Water Dynamics of Conventional and No-Till Wheat in the Southern Great Plains. Soil Sci. Soc. Of America Jour., 76 (5), 1768-1775. (DOI: 10.2136/sssaj2012.0082).
Patrignani, A., R. P. Lollato, T. E. Ochsner, C. B. Godsey, and J. Edwards, 2014: Yield Gap and Production Gap of Rainfed Winter Wheat in the Southern Great Plains. Agronomy Journal, 106(4), 1329-1339. (DOI: 10.2134/agronj14.0011).
Payne, A., and D. L. Smith, 2011: Comparison of pecan scab predictions in Oklahoma using weather inputs from the National Weather Service, the Oklahoma Mesonet, and onsite-monitoring. Phytopathology, 101(6), S138-S138.
Payne, A.F. and D.L. Smith, 2012: Development and Evaluation of Two Pecan Scab Prediction Models. Plant Disease, 96(9), 1358-1364. (DOI: 10.1094/PDIS-03-11-0202-RE).
Peppler, R. A., K. E. Kehoe, J. W. Monroe, A. K. Theisen, and S. T. Moore, 2016: The ARM Data Quality Program. Meteorological Monographs, 57, 12.1-12.14. (doi: 10.1175/AMSMONOGRAPHS-D-15-0039.1).
Pereira Fo., A. J., and K. C. Crawford, 1999: Mesoscale precipitation fields. Part I: statistical analysis and hydrologic response. J. Appl. Meteor., 38, 82-101. (DOI: 10.1175/1520-0450(1999)038<0082:MPFPIS>2.0.CO;2).
Pereira Fo., A. J., K. C. Crawford, and C. L. Hartzell, 1998: Improving WSR-88D hourly rainfall estimates. Wea. Forecasting, 13, 1016-1028. (DOI: 10.1175/1520-0434(1998)013<1016:IWHRE>2.0.CO;2).
Pereira Fo., A. J., K. C. Crawford, and D. J. Stensrud, 1999: Mesoscale precipitation fields. Part II: hydrometeorologic modeling. J. Appl. Meteor., 38,  102-125. (DOI: 10.1175/1520-0450(1999)038<0102:MPFPIH>2.0.CO;2).
Peters-Lidard, C. D., F. Pan, and E. F. Wood, 2001: A re-examination of modeled and measured soil moisture spatial variability and its implications for land surface modeling. Advances in Water Resources, 24, 1069-1083. (DOI: 10.1016/S0309-1708(01)00035-5).
Pettet, C. R., and R. H. Johnson, 2003: Airflow and precipitation structure of two leading stratiform mesoscale convective systems determined from operational datasets. Wea. Forecasting, 18, 685-699. (DOI: 10.1175/1520-0434(2003)018<0685:AAPSOT>2.0.CO;2).
Pierce, K.N., R.R. Reuter, C.A. Robison, and B.K. Wilson, 2020: The effect of bunk preference on performance, intake, and efficiency of feedlot steers using an automated individual feeding system. Journal of Animal Science, 98 (2), 15. (DOI: 10.1093/jas/skz397.033).
Pillar-Little, E.A., B.R. Greene, F.M. Lappin, T.M. Bell, A.R. Segales, G.B.H. de Azevedo, W. Doyle, S.T. Kanneganti, et al., 2021: Observations of the thermodynamic and kinematic state of the atmospheric boundary layer over the San Luis Valley, CO, using the CopterSonde 2 remotely piloted aircraft system in support of the LAPSE-RATE field campaign. Earth System Science Data, 13(2), 269-280. (DOI: 10.5194/essd-13-269-2021).
Pinker R.T., Y. Ma, W. Chen, G. Hulley, E. Borbas, T. Islam, C. Hain, K. Cawse-Nicholson, S. Hook, and J. Basara, 2019: Towards a Unified and Coherent Land Surface Temperature Earth System Data Record from Geostationary Satellites. Remote Sensing, 11(12), 1399. (DOI: 10.3390/rs11121399).
Pinker, R.T., D. Sun, M.P. Hung, C. Li, and J.B. Basara, 2009: Evaluation of Satellite Estimates of Land Surface Temperature from GOES over the United States. J. Appl. Meteor. Climatol., 48, 167-180. (DOI: 10.1175/2008JAMC1781.1).
Potvin, C. K., E. M. Murillo, M. L. Flora, and D. M. Wheatley, 2017: Sensitivity of Supercell Simulations to Initial-Condition Resolution. J. Atmos. Sci., 74, 5-26. (DOI: 10.1175/JAS-D-16-0098.1).
Poudel, P., N.M. Bello, R.P. Lollato, and P.D. Alderman, 2022: A hierarchical Bayesian approach to dynamic ordinary differential equations modeling for repeated measures data on wheat growth. Field Crops Research, 283, . (DOI: 10.1016/j.fcr.2022.108549).
Prada, J., and J. R. Dorronsoro, 2018: General noise support vector regression with non-constant uncertainty intervals for solar radiation prediction. Journal of Modern Power Systems and Clean Energy, , 1-13. (DOI: 10.1007/s40565-018-0397-1).
Prakash, A., and S. K. Singh, 2014: Towards an efficient regression model for solar energy prediction. 2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), Ghaziabad, 18-23. (DOI: 10.1109/CIPECH.2014.7019040).
Pryor, K. L., 2015: Progress and developments of downburst prediction applications of GOES. Weather and Forecasting, 30(5), 1182-1200. (DOI: 10.1175/WAF-D-14-00106.1).
Pryor, K.L., 2011: Microburst Nowcasting Applications of GOES. Electronic Journal of Operational Metr., 2011-EJ#, 22 pg.
Pu, Z., C. Lin, X. Dong, and S. K. Kruger, 2018: Sensitivity of Numerical Simulations of a Mesoscale Convective System to Ice Hydrometeors in Bulk Microphysical Parameterization. Pure and Applied Geophysics, , 1-24. (DOI: 10.1007/s00024-018-1787-z).
Pu, Z., C. Lin, X. Dong, and S. Krueger, 2018: Sensitivity of Numerical Simulations of a Mesoscale Convective System to Ice Hydrometeors in Bulk Microphysical Parameterization. Pure and Applied Geophysics, 176, 24 pp. (DOI: 10.1007/s00024-018-1787-z).
Purcell, L. C., J. T. Edwards, and K. R. Brye, 2007: Soybean yield and biomass responses to cumulative transpiration: questioning widely-held beliefs. Field Crops Res., 101, 10-18. (DOI: 10.1016/j.fcr.2006.09.002).
Putnam, B., M. Xue, Y. Jung, N. Snook, and G. Zhang, 2019: Ensemble Kalman Filter Assimilation of Polarimetric Radar Observations for the 20 May 2013 Oklahoma Tornadic Supercell Case. Monthly Weather Review, 147(7), 2511-2533. (DOI: 10.1175/MWR-D-18-0251.1).
Putnam, B.J., Y. Jung, N. Yussouf, D. Stratman, T.A. Supinie, M. Xue, C. Kuster, and J. Labriola, 2021: The Impact of Assimilating Z DR Observations on Storm-Scale Ensemble Forecasts of the 31 May 2013 Oklahoma Storm Event. Monthly Weather Review, 149(6), 1919-1942. (DOI: 10.1175/MWR-D-20-0261.1).
Qi, Y., S. Martinaitis, J. Zhang, and S. Cocks, 2016: A Real-Time Automated Quality Control of Hourly Rain Gauge Data Based on Multiple Sensors in MRMS System. J. Hydrometeor., 17, 1675-1691. (DOI: 10.1175/JHM-D-15-0188.1).
Qian, Y., M. Huang, B. Yang, and L. K. Berg, 2013: A modeling study of irrigation effects on surface fluxes and land–air–cloud interactions in the Southern Great Plains. Journal of Hydrometeorology, 14.3, 700-721. (DOI: 10.1175/JHM-D-12-0134.1).
Qiao, L., C. B. Zou, E. Stebler, and R. E. Will, 2017: Woody plant encroachment reduces annual runoff and shifts runoff mechanisms in the tallgrass prairie, USA. Water Resour. Res., 53, 4838-4849. (DOI: 10.1002/2016WR019951).
Qiao, L., C. B. Zou, R. E. Will, and E. Stebler, 2015: Calibration of SWAT model for woody plant encroachment using paired experimental watershed data. J. of Hydrol., 523, 231-239. (DOI: 10.1016/j.jhydrol.2015.01.056).
Qin, X. U., and Z. Binbin, 2003: Retrieving soil water contents from soil temperature measurements by using linear regression. Advances in Atmospheric Sciences, 6, 849-858. (DOI: 10.1029/2002JD003245).
Qiu, X., Q. Xu, C. Qiu, K. Nai, and P. Zhang, 2013: Retrieving 3D Wind Field from Phased Array Radar Rapid Scans. Advances in Meteorology, 2013, Article ID 792631, 16 pg. (DOI: 10.1155/2013/792631).
Quiring, S.M., T.W. Ford, J.K. Wang, A. Khong, E. Harris, T. Lindgren, D.W. Goldberg, and Z. Li, 2016: The North American Soil Moisture Database: Development and Applications. Bull. Amer. Meteor. Soc., 97, 1441-1459. (DOI: 10.1175/BAMS-D-13-00263.1).
Rabin, R. M., and T. J. Schmit, 2006: Estimating soil wetness from the GOES sounder. J. Atmos. Oceanic Technol., 23, 991-1003. (DOI: 10.1175/JTECH1895.1).
Raghav, P., and M. Kumar, 2021: Retrieving gap-free daily root zone soil moisture using Surface Flux Equilibrium theory. Environ. Res. Lett., , . (DOI: 10.1088/1748-9326/ac2441).
Rakowski, A. E., R.D. Elmore, C. A. Davis, S. D. Fuhlendorf, & J. M. Carroll, 2019: Thermal refuge affects space use and movement of a large-bodied galliform. Journal of Thermal Biology, 80, 37-44. (DOI: 10.1016/j.jtherbio.2018.12.024).
Ramsey, N. R., P. M. Klein, and B. Moore, 2014: The impact of meteorological parameters on urban air quality. Atmospheric Environment, 86, 58-67. (DOI: 10.1016/j.atmosenv.2013.12.006).
Rao, S. C., B. K. Northup, W. A. Phillips, and H. S. Mayeux, 2007: Interseeding novel cool-season annual legumes to improve bermudagrass paddocks. Crop Science, 47(1), 168-173. (DOI: 10.2135/cropsci2006.02.0088).
Rasmussen, E. N., J. M. Straka, R. Davies-Jones, C. A. Doswell III, F. H. Carr, M. D. Eilts, and D. R. MacGorman, 1994: Verification of the origins of rotation in tornadoes experiment: VORTEX. Bulletin of the American Meteorological Society, 75(6), 995-1006. (DOI: 10.1175/1520-0477(1994)075<0995:VOTOOR>2.0.CO;2).
Raun, W., B. Figueiredo, J. Dhillon, A. Fornah, J. Bushong, H. Zhang and R. Taylor, 2017: Can Yield Goals Be Predicted?. Agronomy Journal, 109 (5), 2389-2395. (DOI: 10.2134/agronj2017.05.0279).
Ray, E. J., and E. A. Bergey, 2015: After the burn: factors affecting land snail survival in post-prescribed-burn woodlands. J. Mollus. Stud., 81(1), 44-50. (DOI: 10.1093/mollus/eyu051).
Reames, L.J. and D.J. Stensrud, 2017: Sensitivity of Simulated Urban–Atmosphere Interactions in Oklahoma City to Urban Parameterization. J. Appl. Meteor. Climatol., 56, 1405-1430. (DOI: 10.1175/JAMC-D-16-0223.1).
Reed, V., A.K. Sutradhar, D. B. Arnall, and J. Lofton, 2021: Evaluation of temporal variability on tissue nutrient concentrations of canola. Agrosystems, Geosciences and Environment, , 11 pp. (DOI: 10.1002/agg2.20235).
Reed, V., D.B. Arnall, B. Finch, and J.L.B. Souza, 2021: Predicting Winter Wheat Grain Yield Using Fractional Green Canopy Cover (FGCC). International Journal of Agronomy, , 8 pp. (DOI: 10.1155/2021/1443191).
Reen, B. P., D. R. Stauffer, and K. J. Davis, 2014: Land-surface heterogeneity effects in the planetary boundary layer. Boundary Layer Meteorology, 150(1), 1-31. (DOI: 10.1007/s10546-013-9860-8).
Reen, B. P., D. R. Stauffer, K. J. Davis, and A. R. Desai, 2006: A case study on the effects of heterogeneous soil moisture on mesoscale boundary-layer structure in the Southern Great Plains, U.S.A. Part II: Mesoscale modelling. Boundary-Layer Meteorology, 120, 275-314. (DOI: 10.1007/s10546-006-9056-6).
Reichle, R. H., D. B. McLaughlin, and D. Entekhabi, 2001: Variational data assimilation of microwave radiobrightness observations for land surface hydrology applications. IEEE Transactions on Geoscience and Remote Sensing, 39, 1708-1718. (DOI: 10.1109/36.942549).
Reichle, R. H., D. B. McLaughlin, and D. Entekhabi, 2002: Hydrologic data assimilation with the Ensemble Kalman Filter. Mon Wea. Rev., 130, 103-114. (DOI: 10.1175/1520-0493(2002)130<0103:HDAWTE>2.0.CO;2).
Reichle, R. H., D. Entekhabi, and D. B. McLaughlin, 2001: Downscaling of radio brightness measurements for soil moisture estimation: A four-dimensional variational data assimilation approach. Water Resources Research, 37, 2353-2364. (DOI: 10.1029/2001WR000475).
Reichle, R. H., G. J. De Lannoy, Q. Liu, J. V. Ardizzone, A. Colliander, A. Conaty, W. Crow, T. J. Jackson, L. A. Jones, et al., 2017: Assessment of the SMAP Level-4 Surface and Root-Zone Soil Moisture Product Using In Situ Measurements. J. Hydrometeor., 18, 2621-2645. (DOI: 10.1175/JHM-D-17-0063.1).
Reid, A. M., S. D. Fuhlendorf, and J. R. Weir, 2010: Weather Variables Affecting Oklahoma Wildfires. Rangeland Ecology and Management, 63, 599-603. (DOI: 10.2111/REM-D-09-00132.1).
Reif, D. W. and H. B. Bluestein, 2017: A 20-Year Climatology of Nocturnal Convection Initiation over the Central and Southern Great Plains during the Warm Season. Mon. Wea. Rev., 145, 1615-1639. (DOI: 10.1175/MWR-D-16-0340.1).
Ren, D., 2010: Adjoint retrieval of prognostic land surface model variables for an NWP model: Assimilation of ground surface temperature. Central European Journal of Geosciences, 2, 83-102. (DOI: 10.2478/v10085-009-0043-2).
Ren, D. D., and M. Xue, 2004: An improved force-restore model for Land Surface Modeling. J. Appl. Meteor., 43, 1768-1782. (DOI: 10.1175/JAM2161.1).
Ren, D. D., M. Xue, and A. Henderson-Sellers, 2004: Incorporating hydraulic lift into a land surface model and its effects on surface soil moisture prediction. J. Hydrometeor., 5, 1181-1191. (DOI: 10.1175/JHM-385.1).
Ren, D. L. M. Leslie, and D. J. Karoly, 2008: Sensitivity of an ecological model to soil moisture simulations from two different hydrological models. Meteorology and Atmospheric Physics, 100, 87-99. (DOI: 10.1007/s00703-008-0297-4).
Ren, D., and A. Henderson-Sellers, 2006: An analytical hydrological model and its implication in scaling issues for land surface modeling. J. Earth Interactions, 10, 1-24. (DOI: 10.1175/EI203.1).
Ren, D., M. Xue, and A. Henderson-Sellers, 2004: The effects of hydraulic lift in simulating superficial soil moisture for vegetated surfaces under dry conditions. J. Hydrometeorol., 5, 1181-1191.
Richardson, S. J., 1995: Automated temperature and relative humidity calibrations for the Oklahoma Mesonetwork. J. Atmos. Oceanic Technol., 12, 951-959. (DOI: 10.1175/1520-0426(1995)012<0951:ATARHC>2.0.CO;2).
Richardson, S. J., M. E. Splitt, and B. M. Lesht, 2000: Enhancement of ARM surface meteorological observations during the Fall 1996 Water Vapor Intensive Observation Period. J. Atmos. Oceanic Technol., 17, 312-322. (DOI: 10.1175/1520-0426(2000)017<0312:EOASMO>2.0.CO;2).
Rigon, R., G. Bertoldi, and T. M. Over, 2006: GEOtop: A distributed hydrological model with coupled water and energy budgets. J. Hydrometeorol., 7, 371-388. (DOI: 10.1175/JHM497.1).
Riley, W. J., S. C. Biraud, M. S. Torn, M. L. Fischer, D. P. Billesbach, and J. A. Berry, 2009: Regional CO2 and latent heat surface fluxes in the Southern Great Plains: Measurements, modeling, and scaling. J. Geophys. Res., 114, G04009. (DOI: 10.1029/2009JG001003).
Ripberger, J. T., H.C. Jenkins-Smith, C. L. Silva, D. E. Carlson, K. Gupta, N. Carlson, and R. E. Dunalp, 2017: Bayesian versus politically motivated reasoning in human perception of climate anomalies. Environ. Res. Lett., 12 (114004), 7 pp. (DOI: 10.1088/1748-9326/aa8cfc).
Robertson, E.P., E.P. Tanner, R.D. Elmore, S.D. Fuhlendorf, J.D. Mays, J. Knutson, J.R. Weir, and S.R. Loss, 2021: Fire management alters the thermal landscape and provides multi-scale thermal options for a terrestrial turtle facing a changing climate. Glob Change Biol., , . (DOI: 10.1111/gcb.15977).
Robertson, S. G. and K. R. Hickman, 2012: Aboveground plant community and seed bank composition along an invasion gradient. Plant Ecology, 213(9), 1461-1475. (DOI: 10.1007/s11258-012-0104-7).
Robertson, S., K. R. Hickman, K. R. Harmoney, and D. M. Leslie Jr, 2013: Combining glyphosate with burning or mowing improves control of yellow bluestem (Bothriochloa ischaemum). Rangeland Ecology & Management, 66(3), 376-381. (DOI: 10.2111/REM-D-11-00198.1).
Robinson-García, N., E. Jiménez-Contreras, and D. Torres-Salinas, 2016: Analyzing data citation practices using the Data Citation Index. Journal of the Association for Information Science and Technology, 67(12), 2964-2975. (DOI: 10.1002/asi.23529).
Robock, A., L. Luo, E. F. Wood, F. Wen, K. E. Mitchell, P. R. Houser, J. C. Schaake, D. Lohmann, B. Cosgrove, and Coauthors, 2003: Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season. J. Geophys. Res., 108, D22. (DOI: 10.1029/2002JD003245).
Roduner, M. A., P. G. Mulder, G. W. Cuperus, J. F. Stritzke, and M. E. Payton, 2005: Plant growth parameters of musk thistle Carduus nutans and egg distribution patterns of Rhinocyllus conicus on their blooms. Southwestern Entomologist, 30(2), 93-103.
Roebber, P. J., D. M. Schultz, and R. Romero, 2002: Synoptic Regulation of the 3 May 1999 Tornado Outbreak. Wea. Forecasting, 17, 399-429. (DOI: 10.1175/1520-0434(2002)017<0399:SROTMT>2.0.CO;2).
Roeder, D.V., A.W. Paraskevopoulos, and K.A. Roeder, 2021: Thermal tolerance regulates foraging behaviour of ants. Ecological Entomology, , 8 pp. (DOI: 10.1111/een.13118).
Rogers, C. A., and E. Leviten, 2004: Evidence of long-distance transport of mountain cedar pollen into Tulsa, Oklahoma. International Journal of Biometeorology, 42, 65-72. (DOI: 10.1007/s004840050086).
Root, B., T.-Y. Yu, M. Yeary, and M. B. Richman, 2010: The Added Value of Surface Data to Radar-Derived Rainfall-Rate Estimation Using an Artificial Neural Network. Journal of Atmospheric and Oceanic Technology, 27, 1547-1554. (DOI: 10.1175/2010JTECHA1361.1).
Rose IV, L.W., M. K. Das, and C. M. Taliaferro, 2008: Estimation of genetic variability and heritability for biofuel feedstock yield in several populations of switchgrass. Annals of Applied Biology, 152, 11-17. (DOI: 10.1111/j.1744-7348.2007.00186.x).
rose, J., M. Manuchehri, & T. Baughman, 2019: Horseweed (Conyza canadensis) management in Oklahoma winter wheat. Weed Technology, , 1-6. (DOI: 10.1017/wet.2019.99).
Ross, J. D., J. F. Kelly, E. S. Bridge, M. H. Engel, D. L. Reinking, and W. A. Boyle, 2015: Pallid bands in feathers and associated stable isotope signatures reveal effects of severe weather stressors on fledgling sparrows. PeerJ, 3, e814. (DOI 10.7717/peerj.814).
Rouf, T., M. Girotto, P. Houser, and V. Maggioni, 2021: Assimilating satellite-based soil moisture observations in a land surface model: The effect of spatial resolution. Journal of Hydrology X, 13, . (DOI: 10.1016/j.hydroa.2021.100105).
Rouf, T., V. Maggioni, Y. Mei, and P. Houser, 2021: Towards Hyper‐Resolution Land‐Surface Modeling of Surface and Root Zone Soil Moisture. Journal of Hydrology, , . (DOI: 10.1016/j.jhydrol.2020.125945).
Rouf, T., Y. Mei, V. Maggioni, P. Houser, and M. Noonan , 2019: A Physically-Based Atmospheric Variables Downscaling Technique. Journal of Hydrometeorology, , 39 pp. (DOI: 10.1175/JHM-D-19-0109.1).
Royer, T.A., N.C. Elliott, K.L. Giles, and S.D. Kindler, 2011: Field efficacy of wintertime insecticide applications against greenbugs, Schizaphis graminum (Rondani) (Hemiptera: Aphididae) on winter wheat (Triticumaestivum L.). Crop Protection, 30 (7), 826-832. (DOI: 10.1016/j.cropro.2011.03.002).
Rude, D.J., E.J. Bass, and B. Phillips, 2012: Quantifying the impact of adding gap filling radar data on forecaster wind assessments, warnings, and confidence. Metr. Appl., 19(3), 355-370. (DOI: 10.1002/met.269).
Russo, V. M., 2009: Nutrient content and yield in relation to top breakover in onion developed from greenhouse-grown transplants. Journal of the Science of Food and Agriculture, 89, 815-820. (DOI: 10.1002/jsfa.3518).
Ryzhkov, A. V. and D. S. Zrnic, 1995: Comparison of dual-polarization radar estimators of rain. Journal of Atmospheric and Oceanic Technology, 12(2), 249-256. (DOI: 10.1175/15200426(1995)012<0249:CODPRE>2.0.CO;2).
Ryzhkov, A. V., and D. S. Zrnic, 1995: Precipitation and attenuation measurements at a 10-cm wavelength. J. Appl. Meteor., 34, 2121-2134. (DOI: 10.1175/1520-0450(1995)034<2120:PAAMAA>2.0.CO;2).
Ryzhkov, A. V., S. E. Giangrande, and T. J. Schuur, 2005: Rainfall Eestimation with a polarimetric prototype of WSR-88D. J. Appl. Meteor., 44, 502-515. (DOI: 10.1175/JAM2213.1).
Ryzhkov, A. V., T. J. Schuur, D. W. Burgess, P. L. Heinselman, S. E. Giangrande, and D. S. Zrnic, 2005: The Joint Polarization Experiment: Polarimetric rainfall measurements and hydrometeor classification. Bull. Amer. Meteor. Soc., 86, 809-824. (DOI: 10.1175/BAMS-86-6-809).
Ryzhkov, A.V. and D.S. Zrnic, 2019: Polarimetric measurements of precipitation. Radar Polarimetry for Weather Observations, , 373-433. (DOI: 10.1007/978-3-030-05093-1_10).
Sahaar, S.A., J.D. Niemann, and A. Elhaddad, 2022: Using regional characteristics to improve uncalibrated estimation of rootzone soil moisture from optical/thermal remote-sensing. Remote Sensing of Environment, 273, . (DOI: 10.1016/j.rse.2022.112982).
Sakaguchi, K., L.K. Berg, J. Chen, J. Fast, R. Newsom, S.-L. Tai, et al., 2021: Determining Spatial Scales of Soil Moisture – Cloud Coupling Pathways using Semi-Idealized Simulations. Journal of Geophysical Research: Atmospheres, 126, e2021JD035282. (DOI: 10.1029/2021JD035282).
Scasta, J. D., D. M. Engle, J. L. Talley, J. R. Weir, S. D. Fuhlendorf, and D. M. Debinski, 2015: Drought influences control of parasitic flies of cattle on pastures managed with patch-burn grazing. Rangeland Ecology & Management, 68(3), 290-297. (DOI: 10.1016/j.rama.2015.03.001).
Scasta, J.D., J.R. Weir, D.M. Engle, and J.D. Carlson, 2014: Combustion of cattle fecal pats ignited by prescribed fire. Rangeland Ecology and Management, 67, 229-233.
Scharfenberg, K.A., D.J. Miller, T.J. Schuur, P.T. Schlatter, S.E. Giangrande, V.M. Melnikov, D.W. Burgess, and Coauthors, 2005: The Joint Polarization Experiment: Polarimetric radar in forecasting and warning decision making. Wea. Forecasting, 20, 775-788. (DOI: 10.1175/WAF881.1).
Schenkman, A. D., M. Xue, and M. Hu, 2014: Tornadogenesis in a high-resolution simulation of the 8 May 2003 Oklahoma City supercell. J. Atmos. Sci., 71(1), 130-154. (DOI: 10.1175/JAS-D-13-073.1).
Schenkman, A.D., M. Xue, A. Shapiro, K. Brewster, and J. Gao, 2011: Impact of CASA Radar and Oklahoma Mesonet Data Assimilation on the Analysis and Prediction of Tornadic Mesovortices in an MCS. Mon. Wea. Rev., 139, 3422–3445. (DOI: 10.1175/MWR-D-10-05051.1).
Schenkman, A.D., M. Xue, A. Shapiro, K. Brewster, J. Gao, 2011: The Analysis and Prediction of the 8–9 May 2007 Oklahoma Tornadic Mesoscale Convective System by Assimilating WSR-88D and CASA Radar Data Using 3DVAR. Mon. Wea. Rev., 139, 224-246. (DOI: 10.1175/2010MWR3336.1).
Schneider, J. M., and D. L. Ford, 2013: An independent assessment of the monthly PRISM gridded precipitation product in central Oklahoma. Atmospheric and Climate Sciences, 3(2), 249-258. (DOI: 10.4236/acs.2013.32026).
Schneider, J. M., D. K. Fisher, R. L. Elliott, G. O. Brown, and C. P. Bahrmann, 2003: Spatiotemporal Variations in Soil Water: First Results from the ARM SGP CART Network. J. Hydrometeor., 4, 106-120. (DOI: 10.1175/1525-7541(2003)004<0106:SVISWF>2.0.CO;2).
Scholtz, R., J. A. Polo, S. D. Fuhlendorf, D. M. Engle, and J. R. Weir, 2018: Woody Plant Encroachment Mitigated Differentially by Fire and Herbicide. Rangeland Ecology & Management, 71 (2), 239-244. (DOI: 10.1016/j.rama.2017.10.001).
Schroeder, A. J., 2009: An Analysis of Observations from Portable Temperature and Humidity Sensors Deployed Across Oklahoma City. The Journal of Young Investigators, 19, 11.
Schroeder, J. L., W. S. Burgett, K. B. Haynie, I. Sonmez, G. D. Skwira, A. L. Doggett, and J. W. Lipe, 2005: The West Texas Mesonet: A technical overview. Journal of Atmospheric and Oceanic Technology, 22(2), 211-222. (DOI: 10.1175/JTECH-1690.1).
Schultz, D. M., D. S. Arndt, D. J. Stensrud, and J. W. Hanna, 2004: Snowbands during the cold-air outbreak of 23 January 2003. Mon Wea. Rev., 132, 827-842. (DOI: 10.1175/1520-0493(2004)132<0827:SDTCOO>2.0.CO;2).
Schuur, T. J., A. V. Ryzhkov, D. S. Zrnic, M. Schonhuber, 2001: Drop size distributions measured by a 2D Video Disdrometer: Comparison with dual-polarization radar data. J. Appl. Meteor., 40, 1019-1034. (DOI: 10.1175/1520-0450(2001)040<1019:DSDMBA>2.0.CO;2).
Scipal, K., M. Drusch, W. Wagner, 2008: Assimilation of a ERS scatterometer derived soil moisture index in the ECMWF numerical weather prediction system. Advances in Water Resources, 8, 1101-1112. (DOI: 10.1016/j.advwatres.2008.04.013).
Scott, B. L., T. E. Ochsner, B. G. Illston, C. A. Fiebrich, J. B. Basara, and A. J. Sutherland, 2013: New Soil Property Database Improves Oklahoma Mesonet Soil Moisture Estimates. J. Atmos. and Ocean. Tech., 30, 2585-2595. (DOI: 10.1175/JTECH-D-13-00084.1).
Segales, A.R., Greene, B.R., Bell, T.M., Doyle, W., Martin, J.J., Pillar-Little, E.A. and P.B. Chilson, 2020: The CopterSonde: an insight into the development of a smart unmanned aircraft system for atmospheric boundary layer research. Atmospheric Measurement Techniques, 13(5), 2833-2848. (DOI: 10.5194/amt-13-2833-2020).
Senay, G. B., and R. L. Elliott, 2004: Capability of AVHRR data in discriminating rangeland cover mixtures. International Journal of Remote Sensing, 23, 299-312. (DOI: 10.1080/01431160010014855).
Serpetzoglou, E., E. N. Anagnostou, A. Papadopoulos, E. I. Nikolopoulos, and V. Maggioni, 2010: Error Propagation of Remote Sensing Rainfall Estimates in Soil Moisture Prediction from a Land Surface Model. journal of Hydrometeorology, 11, 705-720. (DOI: 10.1175/2009JHM1166.1).
Serrat‐Capdevila, A., J. B. Valdes, and E. Z. Stakhiv, 2014: Water management applications for satellite precipitation products: Synthesis and recommendations. JAWRA Journal of the American Water Resources Association, 50(2), 509-525. (DOI: 10.1111/jawr.12140).
Seyyedi, H., E. N. Anagnostou, P. E. Kirstetter, V. Maggioni, Y. Hong, and J. J. Gourley, 2014: Incorporating surface soil moisture information in error modeling of TRMM passive microwave rainfall. IEEE Transactions on Geoscience and Remote Sensing, 52(10), 6226-6240. (DOI: 10.1109/TGRS.2013.2295795).
Shafer, M. A., C. A. Fiebrich, D. Arndt, S. E. Fredrickson, and T. W. Hughes, 2000: Quality assurance procedures in the Oklahoma Mesonetwork. J. Atmos. Oceanic Technol., 17, 474-494. (DOI: 10.1175/1520-0426(2000)017<0474:QAPITO>2.0.CO;2).
Shapiro, A., P.M. Klein, S.C. Arms, D. Bodine, and M. Carney, 2009: The Lake Thunderbird Micronet Project. Bull. Amer. Meteor. Soc., 90, 811-824. (DOI: 10.1175/2008BAMS2727.1).
Sharma S., J.D. Carlson, E.S. Krueger, D.M. Engle, D. Twidwell, S.D. Fuhlendorf, A. Patrignani, L. Feng, and T.E. Ochsner, 2020: Soil moisture as an indicator of growing-season herbaceous fuel moisture and curing rate in grasslands. International Journal of Wildland Fire , , . (DOI: 10.1071/WF19193).
Sharma, B., R. G. Ingalls, C. L. Jones, R. L. Huhnke, and A. Khanchi, 2013: Scenario Optimization Modeling Approach for Design and Management of Biomass-to-Biorefinery Supply Chain System. Bioresource Technology, 150, 163-171. (DOI: 10.1016/j.biortech.2013.09.120).
Sharma, S., T.E. Ochsner, D. Twidwell, J.D. Carlson, E.S. Krueger, D.M. Engle, and S.D. Fuhlendorf, 2018: Nondestructive estimation of standing crop and fuel moisture content in tallgrass prairie. Rangeland Ecology and Management, 71, 356-362. (DOI: 10.1016/j.rama.2018.01.001).
Shaw, W. J., and C. Doran, 2001: Observations of systematic boundary layer divergence patterns and their relationship to land use and topography. J. Clim., 14, 1753-1764. (DOI: 10.1175/1520-0442(2001)014<1753:OOSBLD>2.0.CO;2).
Sheffield, J., G. Goteti, F. Wen, and E. F. Wood, 2004: A simulated soil moisture based drought analysis for the United States. J. Geophys. Res., 109, D24108. (DOI: 10.1029/2004JD005182).
Shellberg, D.J. and K.C. Crawford, 1993: Oklahoma Mesonet Station Detects Intense Cold-Frontal Passage. Bulletin of the American Meteorological Society, 74 (11), 2238.
Sherrill, C.W., S.D. Fuhlendorf, L.E. Goodman, R.D. Elmore, and R.G. Hamilton, 2021: Managing an Invasive Species While Simultaneously Conserving Native Plant Diversity. Rangeland Ecology and Management, 80, . (DOI: 10.1016/j.rama.2021.11.001).
Shi, Z., R. Sherry, X. Xu, O. Hararuk, L. Souza, L. Jiang, J. Xia, J. Liang, and Y. Luo, 2015: Evidence for long‐term shift in plant community composition under decadal experimental warming. Journal of Ecology, 103(5), 1131-1140. (DOI: 10.1111/1365-2745.12449).
Shin, Y., B.P. Mohanty, and A.V. Ines, 2012: Soil hydraulic properties in one-dimensional layered soil profile using layer-specific soil moisture assimilation scheme. Water Resources Research, 48, W06529. (DOI: 10.1029/2010WR009581).
Singh, H., T.P. Kandel, P.H. Gowda, B.K. Northup, and V.G. Kakani, 2021: N2O Emissions From Residues of Oat and Grass Pea Cover Crops Cultivated in the US Southern Great Plains. Frontiers in Sustainable Food Systems, 4, p.604934. (DOI: 10.3389/fsufs.2020.604934).
Sinnathamby, S., K. R. Douglas-Mankin, and C. Craige, 2017: Field-scale calibration of crop-yield parameters in the Soil and Water Assessment Tool (SWAT). Agricultural Water Management, 180, Part A, 61-69. (DOI: 10.1016/j.agwat.2016.10.024).
Sisterson, D.L., R.A. Peppler, T.S. Cress, P.J. Lamb, and D.D. Turner, 2016: The ARM Southern Great Plains (SGP) Site. Meteorological Monographs, 57, 6.1-6.14. (DOI: 10.1175/AMSMONOGRAPHS-D-16-0004.1).
Skinner, P. S., L. J. Wicker, D. M. Wheatley, and K. H. Knopfmeier, 2016: Application of Two Spatial Verification Methods to Ensemble Forecasts of Low-Level Rotation. Wea. Forecasting, 31, 713-735. (DOI: 10.1175/WAF-D-15-0129.1).
Smith, M. W., 2002: Damage by early autumn freeze varies with pecan cultivar. Hortscience, 37, 398-401. (DOI: 10.21273/HORTSCI.37.2.398).
Smith, M. W., and B. S. Cheary, 2010: Pecan bud damage caused by freezing temperatures during Spring 2009 was affected by cultivar. Journal of the American Pomological Society, 64, 92-100.
Smith, M. W., B. W. Wood, W. R. Raun, 2007: Recovery and Partitioning of Nitrogen from Early Spring and Midsummer Applications to Pecan Trees. J. Amer. Soc. Hort. Sci., 123, 758-763. (DOI: 10.21273/JASHS.132.6.758).
Smith, M.B., W. Koren, S. Reed, Z. Zhang, Y. Zhang, F. Moreda, Z. Cui, N. Mizukami, E. Anderson, and B. Cosgrove, 2012: The distributed model intercomparison project – Phase 2: Motivation and design of the Oklahoma experiments. J. of Hydrol., 418-419, 3-16. (DOI: 10.1016/j.jhydrol.2011.08.055).
Snook, N., M. Xue, and Y. Jung, 2011: Analysis of a Tornadic Mesoscale Convective Vortex Based on Ensemble Kalman Filter Assimilation of CASA X-Band and WSR-88D Radar Data.. Mon. Wea. Rev., 139, 3446-3468. (DOI: 10.1175/MWR-D-10-05053.1).
Snook, N., M. Xue, and Y. Jung, 2015: Multi-Scale EnKF Assimilation of Radar and Conventional Observations and Ensemble Forecasting for a Tornadic Mesoscale Convective System. Monthly Weather Review, 143, 1035-1057. (DOI: 10.1175/MWR-D-13-00262.1).
Snook, N., M. Xue, and Y. Jung, 2019: Tornado-Resolving Ensemble and Probabilistic Predictions of the 20 May 2013 Newcastle-Moore EF5 Tornado. Mon. Wea. Rev., , . (DOI: 10.1175/MWR-D-18-0236.1).
Snook, N., Y. Jung, J. Brotzge, B. Putnam, and M. Xue, 2016: Prediction and Ensemble Forecast Verification of Hail in the Supercell Storms of 20 May 2013. Wea. Forecasting, 31, 811-825. (DOI: 10.1175/WAF-D-15-0152.1).
Snow, J. T., A. L. Wyatt, A. K. McCarthy, and E. K. Bishop, 1995: Fallout of debris from tornadic thunderstorms: A historical perspective and two examples from VORTEX. Bulletin of the American Meteorological Society, 76(10), 1777-1790. (DOI: 10.1175/1520-0477(1995)076 <1777:FODFTT>2.0.CO;2).
Snow, R.A., M.J. Porta, and C.P. Patterson, 2021: Common Carp Population Size and Characteristics in Lake Carl Etling, Oklahoma. Proceedings of the Oklahoma Academy of Science, 100, 22-29.
Snow, R.A., M.J. Porta, and R.G. Ryswyk, 2019: Observations of a Vertical Foraging Behavior of Blue Catfish in Lake Ellsworth, Oklahoma. Proceedings of the Oklahoma Academy of Science, 98, 55-58.
Snyder, J.C., H.B. Bluestein, Z.B. Weinhoff, C.M. Kuster, and .W. Reif, 2020: An Analysis of an Ostensible Anticyclonic Tornado from 9 May 2016 Using High1 Resolution, Rapid-Scan Radar Data. Weather and Forecasting, , . (DOI: 10.1175/WAF-D-20-0055.1).
Sobash, R. A. and D. J. Stensrud, 2015: Assimilating surface mesonet observations with the EnKF to improve ensemble forecasts of convection initiation on 29 May 2012. Monthly Weather Review, 143(9), 3700-3725. (DOI: 10.1175/MWR-D-14-00126.1).
Sohoulande, C.D., K. Stone, and V.P. Singh, 2019: Quantifying the probabilistic divergences related to time-space scales for inferences in water resource management. Agricultural Water Management, 217, 282-91. (DOI: 10.1016/j.agwat.2019.03.004).
Soltani, H., K. K. Muraleetharan, R. Bulut, and M. Zaman, 2016: Prediction of soil suction using measured climatic data. Environmental Geotechnics, , . (DOI: 10.1680/jenge.15.00064).
Sonwalkar, M., L. Fang, and D. Sun, 2010: Use of NDVI dataset for a GIS based analysis: A sample study of TAR Creek superfund site. Ecological Informatics, 5, 484-491. (DOI: 10.1016/j.ecoinf.2010.07.003).
Sorbjan, Z., 1996: Toward Evaluation of Heat Fluxes in the Convective Boundary Layer. J. Appl. Meteor., 35 (8), 1374-1377. (DOI: 10.1175/1520-0450(1995)034<1092:TEOHFI>2.0.CO;2).
Springer, T. L. and J. J. Goldman, 2016: Germination of Saccharum ravennae (L.) L. (Poaceae) Caryopses and Intact Spikelets. Crop Science, 46 (2), 682-688. (DOI: 10.2135/cropsci2014.11.0781).
Springer, T.L., 2020: How Does Plant Population Density Affect the Biomass of Ravenna Grass?. GCB Bioenergy, , . (DOI: 10.1111/gcbb.12767).
Springer, T.L. , 2020: Effect of Nitrogen Fertilization on Biomass Yield of Sand Bluestem (Andropogon hallii Hack.). Bioenerg. Res., 2020, . (DOI: 10.1007/s12155-020-10220-w).
Sridhar, V., and R. L. Elliott, 2002: On the development of a simple downwelling longwave radiation scheme. Agricul. and Forest Meteor., 112, 237-243. (DOI: 10.1016/S0168-1923(02)00129-6).
Sridhar, V., R. L. Elliott, and F. Chen, 2003: Scaling effects on modeled surface energy-balance components. Journal of Hydrology, 280, 105-123. (DOI: 10.1016/S0022-1694(03)00220-8).
Sridhar, V., R. L. Elliott, F. Chen, and J. A. Brotzge, 2002: Validation of the NOAH-OSU land surface model using surface flux measurements in Oklahoma. J. Geophys. Res., 107, 4418. (DOI: 10.1029/2001JD0013060).
Sridhar, V., R.L. Elliott, and F. Chen, 2001: Testing the OSU land surface model under Oklahoma conditions. EOS Trans, 82, B41B-23.
Stadler, S., J. M. Dryden, and J. S. Greene, 2015: Climate Change Impacts on Oklahoma Wind Resources: Potential Energy Output Changes. Resources, 42(2), 203-226. (DOI: 10.3390/resources4020203).
Stafne, E. T., 2007: Indices for Assessing Site and Winegrape Cultivar Risk for Spring Frost. International Journal of Fruit Science, 7, 121-132. (DOI: 10.1080/15538360802003415).
Stafne, E. T., and J. A. Puckette, 2011: Aerial Root Formation on Winegrape Cultivars after Spring 2007 Freeze Events. J. Enol. Vitic., 62, 118-121. (DOI: 10.5344/ajev.2010.10062).
Stafne, E.T., C.T. Rohla, and B. L. Carroll, 2009: Pecan shell mulch impact on ‘Loring’peach tree establishment and first harvest. HortTechnology, 19(4), 775-780. (DOI: 10.21273/HORTSCI.19.4.775).
Stamenkovic, J., and M. S. Gustin, 2007: Evaluation of use of EcoCELL technology for quantifying total gaseous mercury fluxes over background substrate. Atmospheric Environment, 41, 3702-3712.
Stamenkovic, J., M. S. Gustin, J. A. Arnone, D. W. Johnson, J. D. Larsen, and P. S. J. Verburg, 2008: Atmospheric mercury exchange with a tallgrass prairie ecosystem housed in mesocosms. Science of the Total Environment, 406, 227-238. (DOI: 10.1016/j.scitotenv.2008.07.047).
Starks P. J. and D. N. Moriasi, 2017: Impact of Eastern redcedar encroachment on stream discharge in the North Canadian River basin. Journal of Soil and Water Conservation, 72(1), 12-25. (DOI: 10.2489/jswc.72.1.12).
Starks, P. J., and D. N. Moriasi, 2009: Spatial Resolution Effect of Precipitation Data on SWAT Calibration and Performance: Implications for CEAP. Transactions of the ASABE, 52, 1171-1180.
Starks, P. J., B. C. Venuto, W. A. Dugas, and J. Kiniry, 2014: Measurements of canopy interception and transpiration of openly-grown eastern redcedar in central Okalhoma. Environment and Natural Resources Research, 4(3), 103-122.
Starks, P. J., C. A. Fiebrich, D. L. Grimsley, J. D. Garbrecht, J. L. Steiner, J. A. Guzman, and D. N. Moriasi, 2014: Upper Washita River Experimental Watersheds: Meteorologic and Soil Climate Measurement Networks. Journal of Environmental Quality, 43 (4), 1239-1249. (DOI: 10.2134/jeq2013.08.0312).
Starks, P. J., G. C. Heathman, T. J. Jackson, and M. H. Cosh, 2006: Temporal stability of soil moisture profile. J. Hydrology, 324, 400-411. (DOI: 10.1016/j.jhydrol.2005.09.024).
Stein, D. R., D. T. Allen, E. B. Perry, J. C. Bruner, K. W. Gates, T. G. Rehberger, K. Mertz, D. Jones, and L. J. Spicer, 2006: Effects of feeding Propionibacteria to dairy cows on milk yield, milk components, and reproduction. J. Dairy Sci., 89, 111-125. (DOI: 10.3168/jds.S0022-0302(06)72074-4).
Steiner J.L., P.J. Starks, J.P.S. Neel, B. Northup, K.E. Turner, P. Gowda, S. Coleman, and M. Brown, 2019: Managing Tallgrass Prairies for Productivity and Ecological Function: A Long-Term Grazing Experiment in the Southern Great Plains, USA. Agronomy, 9(11), 699. (DOI: 10.3390/agronomy9110699).
Steiner, J. L., P. J. Starks, J. D. Garbrecht, D. N. Moriasi, X. Zhang, X., J. M. Schneider, J. A. Guzman and E. Osei, 2014: Long-term environmental research: The Upper Washita River experimental watersheds, Oklahoma, USA. Journal of Environmental Quality, 43(4), 1227-1238. (DOI: 10.2134/jeq2014.05.0229).
Stenz, R., X. Dong, B. Xi, and R. J. Kuligowski, 2014: Assessment of SCaMPR and NEXRAD Q2 precipitation estimates using Oklahoma MESONET observations. J. of Hydromet., 15(6), 2484-2500. (DOI: 10.1175/JHM-D-13-0199.1).
Sterling, M., C. Rogers, and E. Levetin, 2004: An evaluation of two methods used for microscopic analysis of airborne fungal spore concentrations from the Burkard Spore Trap. Aerobiologia, 15, 9-18. (DOI: 10.1023/A:1007561201541).
Stewart, D. R. and J. M. Long, 2015: Growth and contribution of stocked channel catfish, Ictalurus punctatus (Rafinesque, 1818): The importance of measuring post‐stocking performance. Journal of Applied Ichthyology, 31(4), 695-703. (DOI: 10.1111/jai.12797).
Stone, P.A., H.M. Marinoni, S. Laverty, and A.M. Fenwick, 2021: Winter Activity in a Northern Population of Mediterranean Geckos (Hemidactylus turcicus). Herpetological Conservation and Biology, 16(2), 405-411.
Straka, J. M., E. N. Rasmussen, and S. E. Fredrickson, 1996: A mobile mesonet for finescale meteorological observations. J. Atmos. Oceanic Technol., 13, 921-936. (DOI: 10.1175/1520-0426(1996)013<0921:AMMFFM>2.0.CO;2).
Stratman, D. R. and K. A. Brewster, 2017: Sensitivities of 1-km Forecasts of 24 May 2011 Tornadic Supercells to Microphysics Parameterizations. Mon. Wea. Rev., 145, 2697-2721. (DOI: 10.1175/MWR-D-16-0282.1).
Stratman, D.R., N. Yussouf, Y. Jung, T.A. Supinie, M. Xue, P.S. Skinner, and B.J. Putnam, 2020: Optimal temporal frequency of NSSL phased array radar observations for an experimental Warn-on-Forecast system. Weather and Forecasting, 35(1), 193-214. (DOI: 10.1175/WAF-D-19-0165.1.35.1.test).
Su, H., E. F. Wood, H. Wang, R. T. Pinker, 2008: Spatial and Temporal Scaling Behavior of Surface Shortwave Downward Radiation Based on MODIS and In Situ Measurements. Geoscience and Remote Sensing Letters, IEEE, 5, 542-546. (DOI: 10.1109/LGRS.2008.923209).
Sullivan, M. J., J. P. Damicone, and M. E. Payton, 2003: Development of a weather-based advisory program for scheduling fungicide applications for control of white rust of spinach. Plant Disease, 87, 923-928. (DOI: 10.1094/PDIS.2003.87.8.923).
Sun, D., R. Pinker, and J. B. Basara, 2004: Land surface temperature estimation from the next generation Geostationary Operational Environmental Satellite GOES M-Q. J. Applied Meteor., 43, 363-372. (DOI: 10.1175/1520-0450(2004)043<0363:LSTEFT>2.0.CO;2).
Sun, D., Y. Yu, H. Yang, Q. Liu, and J. Shi, 2013: Comparison Between GOES-East and-West for Land Surface Temperature Retrieval From a Dual-Window Algorithm. IEEE Geoscience and Remote Sensing Letters, 10 (3), 578-582. DOI: 10.1109/LGRS.2012.2214473.
Sun, D., Y. Yu, H. Yang, Q. Liu, and J. Shi, 2012: Comparison Between GOES-East and -West for Land Surface Temperature Retrieval From a Dual-Window Algorithm. Geoscience and Remote Sensing Letters, 99, 1-5. (DOI: 10.1109/LGRS.2012.2214473).
Sun, L. O. Seidou, I. Nistor, K. Goita, and R. Magagi, 2016: Simultaneous assimilation of in situ soil moisture and streamflow in the SWAT model using the Extended Kalman Filter. Journal of Hydrology, 543, 671-685. (DOI: 10.1016/j.jhydrol.2016.10.040).
Sun, R., and S.K. Krueger, 2012: Mesoanalysis of the interactions of precipitating convection and the boundary layer. J. of Adv. In Modeling Earth Sys, 4, M04004. (DOI: 10.1029/2011MS000096).
Sun, X., C. B. Zou, B. Wilcox, and E. Stebler, 2018: Effect of Vegetation on the Energy Balance and Evapotranspiration in Tallgrass Prairie: A Paired Study Using the Eddy-Covariance Method. Boundary Layer Meteorology, , 1-24. (DOI: 10.1007/s10546-018-0388-9).
Sun. X., C. B. Zou, B. Wilcox, and E. Stebler, 2019: Effect of Vegetation on the Energy Balance and Evapotranspiration in Tallgrass Prairie: A Paired Study Using the Eddy-Covariance Method. Boundary-Layer Meteorol, 170, 127. (DOI: 10.1007/s10546-018-0388-9).
Supinie, T.A., N. Yussouf, Y. Jung, M. Xue, J. Cheng, and S. Wang, 2017: Comparison of the Analyses and Forecasts of a Tornadic Supercell Storm from Assimilating Phased-Array Radar and WSR-88D Observations. Wea. Forecasting, 32, 1379-1401. (DOI: 10.1175/WAF-D-16-0159.1).
Surcel, M., I. Zawadzki, and M. K. Yau, 2015: A study on the scale dependence of the predictability of precipitation patterns. J. of Atmos. Sci., 72, 216-235. (DOI: 10.1175/JAS-D-14-0071.1).
Sutherland, A., J. D. Carlson, L. Milne-Hickman, M. Wolfinbarger, and S. Blackburn, 2003: A new e-Extension outreach blending weather data and traditional educational approaches. Hortscience, 38(5), 694-694.
Sutherland, A., S. Sitton, D. Martin, R. Davis, R. Jabrzemski, K. Boevers, K., and D. Williams, 2009: Simple Irrigation Plan-Turning Evapotranspiration Science Into Irrigation Decisions. Hortscience, 44(4), 1071-1071.
Swenson, S., J. Famiglietti, J. Basara, and J. Wahr, 2008: Estimating Profile Soil Moisture and Groundwater Storage Variations in the Southern Great Plains Using GRACE Satellite Gravimetric and Oklahoma Mesonet Soil Moisture Data. Water Resources Research, 44, W01413. (DOI: 10.1029/2007WR006057).
Tadesse, H.K., D.N. Moriasi, P.H. Gowda, P. Wagle, P.J. Starks, J.L. Steiner, M., Talebizadeh, J.P. Neel and A.M. Nelson, 2020: Comparison of Evapotranspiration and Biomass Simulation in Winter Wheat under Conventional and Conservation Tillage Systems using APEX Model. Ecohydrology & Hydrobiology, , . (DOI: 10.1016/j.ecohyd.2020.08.003).
Tadić J.M., I.N. Williams , V.M. Tadić, and S.C. Biraud, 2019: Towards Hyper-Dimensional Variography Using the Product-Sum Covariance Model. Atmosphere, 10(3), . (DOI: 10.3390/atmos10030148).
Tai, S-L., J. Fast, W.I. Gustafson, D. Chand, B. Gaudet, Z. Feng, and R. Newsom, 2020: Simulation of Continental Shallow Cumulus Populations using an Observation-Constrained Cloud-System Resolving Model. Journal of Advances in Modeling Earth Systems, e2020MS002091, . (DOI: 10.1029/2020MS002091).
Talmadge, T. and R. Waxler, 2016: Infrasound from Tornados: Theory, Measurement, and Prospects for Their Use in Early Warning Systems. Acoustical Society of America, 12 (1), 43-51.
Tanamachi, R. L., P. L. Heinselman, and L. J. Wicker, 2015: Impacts of a storm merger on the 24 May 2011 El Reno, Oklahoma tornadic supercell. Weather and Forecasting, 30, 501-524. (DOI: 10.1175/WAF-D-14-00164.1).
Tang, L., and F. Hossain, 2012: Investigating the similarity of satellite rainfall error metrics as a function of Köppen climate classification. Atmos. Res., 104-105, 182-192. (DOI: 10.1016/j.atmosres.2011.10.006).
Tanner, E. P. and S. D. Fuhlendorf, 2018: Impact of an agri-environmental scheme on landscape patterns. Ecological Indicators, 85, 956-965. (DOI: 10.1016/j.ecolind.2017.11.043).
Tanner, E. P., R. D. Elmore, C. A. Davis, S. D. Fuhlendorf, D. K. Dahlgren, E. T. Thacker and J. P. Orange, 2016: Does the presence of oil and gas infrastructure potentially increase risk of harvest in northern bobwhite?. Wildlife Biology, 22, 294-304. (DOI: 10.2981/wlb.00254).
Tanner, E. P., R. D. Elmore, C. Davis, and S. D. Fuhlendorf, 2017: Wintering bird responses to the presence of artificial surface water in a semi-arid rangeland. Wildlife Biology, 2017(1):wlb.00315, 1-10. (DOI: 10.2981/wlb.00315).
Tanner, E. P., R. D. Elmore, S. D. Fuhlendorf, C. A. Davis, E. T. Thacker, and D. K. Dahlgren, 2015: Behavioral responses at distribution extremes: How artificial surface water can affect quail movement patterns. Rangeland Ecology & Management, 68(6), 476-484. (DOI: 10.1016/j.rama.2015.07.008).
Tanner, E. P., R. D. Elmore, S. D. Fuhlendorf, C. Davis, D. K. Dahlgren and J. P. Orange, 2017: Extreme climatic events constrain space use and survival of a ground‐nesting bird. Global change biology, 23(5), 1832-1846. (DOI: 10.1111/gcb.13505).
Tanner, E.P., A.M. Tanner, S.D. Fuhlendorf, R.D. Elmore, C.A. Davis, C.A. and J.A. Polo, 2021: Land enrolled in the Conservation Reserve Program supports roosting ecology of the lesser prairie-chicken. Global Ecology and Conservation, 32, p.e01916. (DOI: 10.1016/j.gecco.2021.e01916).
Tanner, E.P., J.P. Orange, C.A. Davis, R.D. Elmore, and S.D. Fuhlendorf, 2019: Behavioral modifications lead to disparate demographic consequences in two sympatric species. Ecology and Evolution, , 17 pp. (DOI: 10.1002/ece3.5472).
Tanner, E.P., S.D. Fuhlendorf, J.A. Polo, and J.M. Peterson, 2021: Woody encroachment of grasslands: Near-surface thermal implications assessed through the lens of an astronomical event. Ecology and Evolution, 00, 1-16. (DOI: 10.1002/ece3.8043).
Tao, C., Zhang, Y., Tang, S., Tang, Q., Ma, H.‐Y., Xie, S., & Zhang, M., 2019: Regional moisture budget and land‐atmosphere coupling over the US Southern Great Plains inferred from the ARM long‐term observations. Journal of Geophysical Research: Atmospheres, 124, . (DOI: 10.1029/2019JD030585).
Tavakoli, M., and F. De Smedt, 2012: Validation of soil moisture simulation with a distributed hydrologic model (WetSpa). Environmental Earth Sciences, 69 (3), 739-747. (DOI: 10.1007/s12665-012-1957-8).
Temel, O., S. Porchetta, L. Bricteux and J. van Beeck, 2018: RANS closures for non-neutral microscale CFD simulations sustained with inflow conditions acquired from mesoscale simulations. Applied Mathematical Modelling, 53, 635-652. (DOI: 10.1016/j.apm.2017.09.018).
Terti, G. , I. Ruin, J. J. Gourley, P. Kirstetter, Z. Flamig, J. Blanchet, A. Arthur, and S. Anquetin, 2017: Toward Probabilistic Prediction of Flash Flood Human Impacts. Risk Analysis, , 1-22. (DOI: 10.1111/risa.12921).
Terti, G., I. Ruin, J. J. Gourley, P. Kirstetter, Z. Flamig, J. Blanchet, A. Arthur, and S. Anquetin, 2019: Toward probabilistic prediction of flash flood human impacts. Risk Analysis, 39(1), 140-161. (DOI: 10.1111/risa.12921).
Thiesen, A., M. Ungar, B. Sheridan, and B. Illston, 2020: More Science with Less: Evaluation of a 3D-Printed Weather Station. Atmos. Meas. Tech., 13, 4699-4713. (DOI: 10.5194/amt-13-4699-2020).
Thompson, L.R., M.R.Beck, S.A.Gunter, G.D.Williams, S.E.Place, and R.R.Reuter, 2019: An energy and monensin supplement reduces methane emission intensity of stocker cattle grazing winter wheat. Applied Animal Science, 35 (4), 433-440. (DOI: 10.15232/aas.2018-01841).
Thompson, N. M., F. M. Epplin, J. T. Edwards, and R. M. Hunger, 2014: Economics of foliar fungicides for hard red winter wheat in the USA southern Great Plains. Crop Protection, 59, 1-6. (DOI: 10.1016/j.cropro.2014.01.009).
Thompson, R. L., and R. Edwards, 2000: An overview of environmental conditions and forecast implications of the 3 May 1999 tornado outbreak. Wea. Forecasting, 15, 682-699. (DOI: 10.1175/1520-0434(2000)015<0682:AOOECA>2.0.CO;2).
Tian, L. and S.M. Quiring, 2019: Spatial and temporal patterns of drought in Oklahoma (1901 to 2014). International Journal of Climatology, , . (DOI: 10.1002/joc.6026).
Tian, L., S. Yuan, S. M. and Quiring, 2018: Evaluation of six indices for monitoring agricultural drought in the south-central United States.. Agricultural and Forest Meteorology, 249, 107-119. (DOI: 10.1016/j.agrformet.2017.11.024).
Tian, L., Z. T. Leasor, and S. M. Quiring, 2020: Developing a hybrid drought index: Precipitation Evapotranspiration Difference Condition Index. Climate Risk Management, , . (DOI: 10.1016/j.crm.2020.100238).
Toms, B. A., J. B. Basara, and Y. Hong, 2017: Usage of Existing Meteorological Data Networks for Parameterized Road Ice Formation Modeling. J. Appl. Meteor. Climatol., 56, 1959-1976. (DOI: 10.1175/JAMC-D-16-0199.1).
Toms, B. A., J. M. Tomaszewski, D. D. Turner, and S. E. Koch, 2017: Analysis of a Lower-Tropospheric Gravity Wave Train Using Direct and Remote Sensing Measurement Systems. Mon. Wea. Rev., 145, 2791-2812. (DOI: 10.1175/MWR-D-16-0216.1).
Torquato, P.R., C.B. Zou, A. Adhikari, H.D. Adams, and R.E. Will, 2020: Drought Tolerance and Competition in Eastern Redcedar (Juniperus virginiana) Encroachment of the Oak-Dominated Cross Timbers. Frontiers in Plant Science, 11, 59. (DOI=10.3389/fpls.2020.00059).
Torquato, P.R., R.E. Will, B. Zhang, and C.B. Zou, 2020: Stand-Level Transpiration Increases after Eastern Redcedar (Juniperus virginiana L.) Encroachment into the Midstory of Oak Forests. Forests, 11(9), 901. (DOI:
Torres, G. M., R. P. Lollato, and T. E. Ochsner, 2013: Comparison of Drought Probability Assessments Based on Atmospheric Water Deficit and Soil Water Deficit. Agronomy Journal, 105 (2), 428-436. (DOI: 10.2134/agronj2012.0295).
Trafalis, T. B., B. Santosa, and M. B. Richman, 2004: Learning networks in rainfall estimation. Computational Management Science, 2, 229-251. (DOI: 10.1007/s10287-005-0026-0).
Trafalis, T. B., B. Santosa, and M. B. Richman, 2004: Prediction of rainfall from WSR-88D radar using kernel-based methods. International Journal of Smart Engineering System Design, 5, 429-438. (DOI: 10.1080/10255810390243737).
Trafalis, T. B., M. B. Richman, A. White, and B. Santosa, 2002: Data mining techniques for improved WSR-88D rainfall estimation. Computers and Industrial Engineering, 43, 775-786. (DOI: 10.1016/S0360-8352(02)00139-0).
Trapp, R. J., D. M. Schultz, A. V. Ryzhkov, and R. L. Holle, 2001: Multiscale structure and evolution of an Oklahoma winter precipitation event. Mon Wea. Rev., 129, 486-501. (DOI: 10.1175/1520-0493(2001)129<0486:MSAEOA>2.0.CO;2).
Trier, S. B., F. Chen, and K. W. Manning, 2004: A study of convection initiation in a mesoscale model using high-resolution land surface initial conditions. Mon Wea. Rev., 132, 2954-2976. (DOI: 10.1175/MWR2839.1).
Trier, S. B., G. S. Romine, D. A. Ahijevych, R. J. Trapp, R. S. Schumacher, M. C. Coniglio, and D. J. Stensrud, 2015: Mesoscale thermodynamic influences on convection initiation near a surface dryline in a convection-permitting ensemble. Monthly Weather Review, 143(9), 3726-3753. (DOI: 10.1175/MWR-D-15-0133.1).
Trier, S. B., J. H. Marsham, C. A. Davis, D. A. Ahijevych, 2011: Numerical Simulations of the Postsunrise Reorganization of a Nocturnal Mesoscale Convective System during 13 June IHOP_2002.. J. Atmos. Sci., 68, 2988-3011. (DOI: 10.1175/JAS-D-11-0112.1).
Tripp, D. R., and J. D. Niemann, 2008: Evaluating the parameter identifiability and structural validity of a probability-distributed model for soil moisture. Journal of Hydrology, 353, 93-108. (DOI: 10.1016/j.jhydrol.2008.01.028).
Troutt, C., and E. Levetin, 2004: Correlation of spring spore concentrations and meteorological conditions in Tulsa, Oklahoma. International Journal of Biometeorology, 45, 64-74. (DOI: 10.1007/s004840100087).
Tubana, B. S., D. B. Arnall, O. Walsh, B. Chung, J. B. Solie, K. Girma, and W. R. Raun, 2008: Adjusting midseason nitrogen rate using a sensor-based optimization algorithm to increase use efficiency in corn.  J. Plant. Nutr., 31, 1393-1419. (DOI: 10.1080/01904160802208261).
Tucker, D.F., 1997: Surface Mesonets of the Western United States. Bull. Amer. Meteor. Soc., 78, 1485-1496. (DOI: 10.1175/1520-0477(1997)078<1485:SMOTWU>2.0.CO;2).
Turlapaty, A. C., N. H. Younan and V. G. Anantharaj, 2012: A linear merging methodology for high-resolution precipitation products using spatiotemporal regression. Intl. J. of Remote Sensing, 33(24), 7844-7867. (DOI: 10.1080/01431161.2012.703345).
Tustison, B., D. Harris, and E. Foufoula-Georgiou, 2001: Scale issues in verification of precipitation forecasts. J. Geophys. Res., 106(D11), 11775-11784. (DOI: 10.1029/2001JD900066).
Twidwell, D., A.S. West, W.B. Hiatt, A.L. Ramirez, J.T. Winter, D.M. Engle, S.D. Fuhlendorf, and J.D. Carlson, 2016: Plant invasions or fire policy: Which has altered fire behavior more in tallgrass prairie?. Ecosystems, 19(2), 356-368.
Tyndall, D. P., and J. D. Horel, 2013: Impacts of Mesonet Observations on Meteorological Surface Analyses. Weather and Forecasting, 28, 254-269. (DOI: 10.1175/WAF-D-12-00027.1).
Van de Water, P. K., and E. Levetin, 2001: Contribution of upwind pollen sources to the characterization of Juniperus ashei phenology. Grana, 40, 133-141. (DOI: 10.1080/00173130152625879).
Van de Water, P. K., T. Keever, C. E. Main, and E. Levetin, 2003: An assessment of predictive forecasting of Juniperus ashei pollen movement in the Southern Great Plains, USA. International Journal of Biometeorology, 48, 74-82. (DOI: 10.1007/s00484-003-0184-0).
Van der Kamp, D. W., R. D. Moore, and I. G. McKendry, 2017: A model for simulating the moisture content of standardized fuel sticks of various sizes. Agricultural and Forest Meteorology, 236, 123-134. (DOI: 10.1016/j.agrformet.2017.01.013).
Van der Veer Martens, B., B. G. Illston, and C, A. Fiebrich, 2017: The Oklahoma Mesonet: A Pilot Study of Environmental Sensor Data Citations. Data Science Journal, 16 (47), . (DOI: 10.5334/dsj-2017-047).
Varner, B. T., F. M. Epplin, and G. L. Strickland, 2011: Economics of No-Till Versus Tilled Dryland Cotton, Grain Sorghum, and Wheat. Agronomy Journal, 103(5), 1329-1338. (DOI: 10.2134/agronj2011.0063).
Verburg, P. S. J., J. Larsen, D. W. Johnson, D. E. Schorran, J. A. Arnone, III, 2005: Impacts of an anomalously warm year on soil CO2 efflux in experimentally manipulated tallgrass prairie ecosystems. Global Change Biology, 11, 1720-1732. (DOI: 10.1111/j.1365-2486.2005.001032.x).
Vergopolan, N., N.W. Chaney, M. Pan, J. Sheffield, H.E. Beck, C.R. Ferguson, L.Torres-Rojas, S. Sadri, and E.F. Wood, 2021: SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US. Sci. Data, 8 (264), . (DOI: 10.1038/s41597-021-01050-2).
Vignal, B., and W. F. Krajewski, 2001: Large-sample evaluation of two methods to correct range-dependent error for WSR-88D rainfall estimates. J. Hydrometeor., 2, 490-504. (DOI: 10.1175/1525-7541(2001)002<0490:LSEOTM>2.0.CO;2).
Villarini, G., and W. F. Krajewski, 2009: Inference of Spatial Scaling Properties of Rainfall: Impact of Radar Rainfall Estimation Uncertainties. IEEE Transactions on Geoscience and Remote Sensing, 6(4), 812-815. (DOI: 10.1109/lgrs.2009.2025891).
Villarini, G., and W. F. Krajewski, 2010: Sensitivity Studies of the Models of Radar-Rainfall Uncertainties. J. Appl. Meteor. Climatol., 49(2), 288-309. (DOI: 10.1175/2009jamc2188.1).
Villarini, G., W. F. Krajewski, A. A. Ntelekos, K. P. Georgakakos, and J. A. Smith, 2010: Towards probabilistic forecasting of flash floods: The combined effects of uncertainty in radar-rainfall and flash flood guidance. Journal of Hydrology, 394, 275-284. (DOI: 10.1016/j.jhydrol.2010.02.014).
Villarini, G., W. F. Krajewski, and J. A. Smith, 2009: New paradigm for statistical validation of satellite precipitation estimates: Application to a large sample of the TMPA 0.25 degrees 3-hourly estimates over Oklahoma. J. Geophys. Res.-Atmos., 114, . (DOI: 10.1029/2008jd011475).
Villarini, G., W. F. Krajewski, G. J. Ciach, and D. L. Zimmerman, 2009: Product-error-driven generator of probable rainfall conditioned on WSR-88D precipitation estimates. Water Resources Research, 45, . (DOI: 10.1029/2008wr006946).
Vinnikov, K. Y., A. Robock, S. Qiu, and J. K. Entin, 1999: Optimal design of surface networks for observation of soil moisture. J. Geophys. Res.-Atmos., 104(d16), 19743-19749. (DOI: 10.1029/1999jd900060).
Vulpiani, G., S. Giangrande, and F. S. Marzano, 2009: Rainfall Estimation from Polarimetric S-Band Radar Measurements: Validation of a Neural Network Approach. J. Appl. Meteor. Climatol., 48, 2022-2036. (DOI: 10.1175/2009JAMC2172.1).
Wagle, P. V. G. Kakani, and R. L. Hunke, 2016: Evapotranspiration and Ecosystem Water Use Efficiency of Switchgrass and High Biomass Sorghum. Agronomy Journal, 108(3), 1007-1019. (DOI: 10.2134/agronj2015.0149).
Wagle, P., and V. G. Kakani, 2014: Environmental control of daytime net ecosystem exchange of carbon dioxide in switchgrass. Agriculture, Ecosystems and Environment, 186, 170-177. (DOI: 10.1016/j.agee.2014.01.028).
Wagle, P., and V. G. Kakani, 2014: Growing season variability in evapotranspiration, ecosystem water use efficiency, and energy partitioning in switchgrass. Ecohydrology, 7(1), 64-72. (DOI: 10.1002/eco.1322).
Wagle, P., and V. G. Kakani, 2014: Seasonal variability in net ecosystem carbon dioxide exchange over a young Switchgrass stand. GCB Bioenergy, 6(4), 339-350. (DOI: 10.1111/gcbb.12049).
Wagle, P., N. Bhattarai, P.H. Gowda, and V.G. Kakani, 2017: Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghum. Journal of Photogrammetry and Remote Sensing, 128, 192-203. (DOI: 10.1016/j.isprsjprs.2017.03.022).
Wagle, P., P. H. Gowda, and B. K. Northup, 2019: Annual dynamics of carbon dioxide fluxes over a rainfed alfalfa field in the US Southern Great Plains. Agricultural and Forest Meteorology, 265, 208-217. (DOI: 10.1016/j.agrformet.2018.11.022).
Wagle, P., P. H. Gowda, and B.K. Northup, 2019: Dynamics of evapotranspiration over a non-irrigated alfalfa field in the Southern Great Plains of the United States. Agricultural Water Management, 223, . (DOI: 10.1016/j.agwat.2019.105727).
Wagle, P., P.H. Gowda, B.K. Northup, K.E. Turner, J.P.S. Neel, P. Manjunatha, and Y.Zhou, 2018: Variability in carbon dioxide fluxes among six winter wheat paddocks managed under different tillage and grazing practices. Atmospheric Environment, 185, 100-108. (DOI: 10.1016/j.atmosenv.2018.05.003).
Wagle, P., P.H. Gowda, B.K. Northup, P.J. Starks, and J.P.S. Neel, 2019: Response of Tallgrass Prairie to Management in the U.S. Southern Great Plains: Site Descriptions, Management Practices, and Eddy Covariance Instrumentation for a Long-Term Experiment. Remote Sens., 11(17), . (DOI: 10.3390/rs11171988).
Wagle, P., T.H. Skaggs, P.H. Gowda, B.K. Northup, and J.P.S. Neel, 2020: Flux variance similarity-based partitioning of evapotranspiration over a rainfed alfalfa field using high frequency eddy covariance data. Agricultural and Forest Meteorology, 285-286, . (DOI: 10.1016/j.agrformet.2020.107907).
Wainwright, C. E., D. T. Dawson, M. Xue, and G. Zhang, 2014: Diagnosing the Intercept Parameters of the Exponential Drop Size Distributions in a Single-Moment Microphysics Scheme and Impact on Supercell Storm Simulations. J. Appl. Metr. and Clim., 53(8), 2072-2090. (DOI: 10.1175/JAMC-D-13-0251.1).
Wainwright, C., D. Reynolds, and A. Reynolds, 2020: Linking Small-Scale Flight Manoeuvers and Density Profiles to the Vertical Movement of Insects in the Nocturnal Stable Boundary Layer. Scientific Reports, 10(1):1019, . (DOI: 10.1038/s41598-020-57779-0).
Wakefield, R.A., J.B. Basara, J.C. Furtado, B.G. Illston, C.R. Ferguson, and P.M. Klein, 2019: A Modified Framework for Quantifying Land-Atmosphere Covariability during Hydrometeorological and Soil Wetness Extremes in Oklahoma.. J. Appl. Meteor. Climatol., , . (DOI: 10.1175/JAMC-D-18-0230.1).
Wakimoto, R. M., and H. V. Murphey, 2010: Frontal and Radar Refractivity Analyses of the Dryline on 11 June 2002 during IHOP. Monthly Weather Review, 138, 228-241. (DOI: 10.1175/2009MWR2991.1).
Wakimoto, R. M., and N. T. Atkins, 1996: Observations on the Origins of Rotation: The Newcastle Tornado during VORTEX 94. Mon Wea. Rev., 124, 384-407. (DOI: 10.1175/1520-0493(1996)124<0384:OOTOOR>2.0.CO;2).
Wakimoto, R. M., C. Liu, and H. Cai, 1998: The Garden City, Kansas storm during VORTEX 95. Part I: overview of the storm's life cycle and mesocyclogenesis. Mon Wea. Rev, 126, 372-392. (DOI: 10.1175/1520-0493(1998)126<0372:TGCKSD>2.0.CO;2).
Wakimoto, R. M., W. Lee, H. B. Bluestein, C. Liu, and P. H. Hildebrand, 1996: ELDORA Observations during VORTEX 95. Bull. Amer. Meteor. Soc., 77, 1465-1482. (DOI: 10.1175/1520-0477(1996)077<1465:EODV>2.0.CO;2).
Wakimoto, R.M., H.V. Murphey, R.G. Fovell, and W.C. Lee, 2004: Mantle Echoes Associated with Deep Convection: Observations and Numerical Simulations. Mon Wea. Rev., 132, 1701-1720. (DOI: 10.1175/1520-0493(2004)132<1701:MEAWDC>2.0.CO;2).
Walker, N. R., T. K. Mitchell, S. M. Marek, and A. N. Morton, 2006: Influence of temperature and time of year on colonization of bermudagrass roots by Ophiosphaerella herpotricha. Plant Disease, 90, 1326-1330. (DOI: 10.1094/PD-90-1326).
Walsh, O. S., A. R. Klatt, J. B. Solie, C. B. Godsey, W. R. Raun, 2013: Use of Soil Moisture Data for Refined GreenSeeker Sensor Based Nitrogen Recommendations in Winter Wheat (Triticum aestivum L.). Precision Agriculture , 14, 343-356. (DOI: 10.1007/s11119-012-9299-9).
Walsh, O. S., J. B. Solie, and W. R. Raun, 2013: Can Oklahoma Mesonet Cumulative Evapotranspiration Data Be Accurately Predicted Using Three Interpolation Methods?. Communications in Soil Science and Plant Analysis, 44(5), 892-899. (DOI: 10.1080/00103624.2012.747606).
Wang, J. C.Y. Tang, M.R. Brambley, and L. Song, 2019: Predicting home thermal dynamics using a reduced-order model and automated real-time parameter estimation. Energy and Buildings, 198, 305-317. (DOI: 10.1016/j.enbuild.2019.06.002).
Wang, J. K., T. W. Ford, and S. M. Quiring, 2015: Distinguishing between Unorganized and Organized Convection When Examining Land–Atmosphere Relationships. Journal of Applied Meteorology and Climatology, 54(11), 2229-2243. (DOI: 10.1175/JAMC-D-15-0086.1).
Wang, J., C.Y. Tang, and L. Song, 2020: values of a generic continuous-time signalDesign and Analysis of Optimal Pre-Cooling in Residential Buildings. Energy and Buildings, , . (DOI: 10.1016/j.enbuild.2020.109951).
Wang, J., X. Dong, B. Xi, and A. J. Heymsfield, 2016: Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization raindrop size distribution and its application for stratiform rain estimation. J. Geophys. Res. Atmos., 121, 10739-10760. (DOI: 10.1002/2016JD024941).
Wang, J., X. Xiao, J. Basara, X. Wu, R. Bajgain, Y. Qin, R.B. Doughty, and B. Moore III, 2021: Impacts of juniper woody plant encroachment into grasslands on local climate. Agricultural and Forest Meteorology, 307, . (DOI: 10.1016/j.agrformet.2021.108508).
Wang, J., Y. Jiang, C.Y. Tang, and L. Song, 2021: Development and validation of a second-order thermal network model for residential buildings. Applied Energy, 306 (B), . (DOI: 10.1016/j.apenergy.2021.118124).
Wang, L., T. Koike, K. Yang, T. J. Jackson, R. Bindlish, and D. Yang, 2009: Development of a distributed biosphere hydrological model and its evaluation with the Southern Great Plains Experiments (SGP97 and SGP99). Journal of Geophysical Research - Atmospheres, 114, D08107. (DOI:10.1029/2008JD010800).
Wang, Q., and M. Xue, 2012: Convective initiation on 19 June 2002 during IHOP: High-resolution simulations and analysis of the mesoscale structures and convection initiation. J. of Geophys. Res, 117, D12107. (DOI: 10.1029/2012JD017552).
Wang, T., Q. Liu, T. E. Franz, R. Li, Y. Lang and C. A. Fiebrich, 2017: Spatial patterns of soil moisture from two regional monitoring networks in the United States. Journal of Hydrology, 552, 578-585. (DOI: 10.1016/j.jhydrol.2017.07.035).
Wang, Y., J. Gao, P.S. Skinner, K. Knopfmeier, T. Jones, G. Creager, P.L. Heiselman, and L.J. Wicker, 2019: Test of a Weather-Adaptive Dual-Resolution Hybrid Warn-on-Forecast Analysis and Forecast System for Several Severe Weather Events. Wea. Forecasting, , 47 pp. (DOI: 10.1175/WAF-D-19-0071.1).
Wang, Y., N. Yussouf, C.A. Kerr, D.R. Stratman, and B.C. Matilla, 2022: An Experimental 1-km Warn-on-Forecast System for Hazardous Weather Events. Monthly Weather Review, , . (DOI: 10.1175/MWR-D-22-0094.1).
Wang, Y., N. Yussouf, E.R. Mansell, B.C. Matilla, R. Kong, M. Xue, M., and V.C. Chmielewski, 2021: Impact of Assimilating GOES-R Geostationary Lightning Mapper Flash Extent Density Data on Severe Convection Forecast in a Warn-on-Forecast System. Monthly Weather Review, , . (DOI: 10.1175/MWR-D-20-0406.1).
Warren, E. L., D. T. Young, L. Chapman, C. Muller, C. S. B. Grimmond, and X.-M. Cai, 2016: The Birmingham Urban Climate Laboratory—A high density, urban meteorological dataset, from 2012–2014. Scientific Data, 3, Article number: 160038 . (DOI: 10.1038/sdata.2016.38).
Waters, M.J., R.A. Snow, M.J. Porta, and M.T. Hollie, 2021: Population Dynamics of a Stunted Blue Catfish Population in a Small Oklahoma Impoundment. Proceedings of the Oklahoma Academy of Science, 100, .
Watson, B.H., R.M. Hunger, and D.A. Marburger, 2020: Economic returns of one versus two fungicide applications in oklahoma winter wheat. Crop Science, 60, 441-453. (DOI: 10.1002/csc2.20068).
Waugh, S. and T.J. Schuur, 2018: On the use of Radiosondes in Freezing Precipitation. J. Atmos. Oceanic Technol., EOR, . (DOI: 10.1175/JTECH-D-17-0074.1).
Webb, S. L., and K. L. Gee, 2014: Annual survival and site fidelity of free‐ranging white‐tailed deer (Odocoileus virginianus): comparative demography before (1983–1992) and after (1993–2005) spatial confinement. Integrative Zoology, 9(1), 24-33. (DOI: 10.1111/1749-4877.12032).
Webb, S. L., K. L. Gee, and P. D. Jones, 2014: Age-specific changes in body mass and delayed physical development of a known-aged sample of wild, white-tailed deer. Wildlife Biology in Practice, 10(2), 69-84. (DOI: 10.2461/wbp.2014.10.9).
Webb, S. L., K. L. Gee, B. K. Strickland, S. Demarais, and R. W. DeYoung, 2010: Measuring Fine-Scale White-Tailed Deer Movements and Environmental Influences Using GPS Collars. International Journal of Ecology, 459610, 1-12. (DOI: 10.1155/2010/459610).
Weckwerth, T. M., D. B. Parsons, S. E. Koch, J. A. Moore, M. A. LeMone, B. B. Demoz, C. Flamant, B. Geerts, and Coauthors, 2004: An overview of the International H2O Project (IHOP_2002) and some preliminary highlights. Bull. Amer. Meteor. Soc., 85, 253-277. (DOI: 10.1175/BAMS-85-2-253).
Weckwerth, T.M ., and D. B. Parsons, 2006: A review of convection initiation and motivation for IHOP_2002. Mon Wea. Rev., 134, 5-22. (DOI: 10.1175/MWR3067.1).
Wedgeworth, M., R. Mollenhauer, and S.K. Brewer, 2022: Variation in Prairie Chub hatch relationships across wet and dry years in the upper Red River basin. North Am J Fish Manage, , . (DOI: 10.1002/nafm.10842).
Weilin, L. I. A. O., W. A. N. G. Dagang, W. A. N. G. Guiling, X. I. A. Youlong, and L. I. U. Xiaoping, 2019: Quality Control and Evaluation of the Observed Daily Data in North American Soil Moisture Database. Journal of Meteorological Research, , .
Weir, J.R., 2011: Are Weather and Tradition Reducing Our Ability to Conduct Prescribed Burns?. Rangelands, 33(1), 25-30. (DOI: 10.2111/RANGELANDS-D-10-00050.1).
Weiss, C. C., D. C. Dowell, J. L. Schroeder, P. S. Skinner, A. E. Reinhart, P. M. Markowski, and Y. P. Richardson, 2015: A Comparison of Near-surface Buoyancy and Baroclinity Across Three VORTEX2 Supercell Intercepts. Monthly Weather Review, 143, 2736-2753. (DOI: 10.1175/MWR-D-14-00307.1).
Weiss, C. C., H. B. Bluestein, and A. L. Pazmany, 2006: Fine-scale radar observations of the 22 May 2002 dryline during the International H2O Project (IHOP). Mon Wea. Rev., 134, 273-293. (DOI: 10.1175/MWR3068.1).
Wen, Y., T. Schuur, H. Vergara, and C. Kuster, 2021: Effect of Precipitation Sampling Error on Flash Flood Monitoring and Prediction: Anticipating Operational Rapid-Update Polarimetric Weather Radars. Journal of Hydrometeorology, , . (DOI: 10.1175/JHM-D-19-0286.1).
Weng, E. S., and Y. Q. Luo, 2008: Soil hydrological properties regulate grassland ecosystem responses to multifactor global change: a modeling analysis. Journal of Geophysical Research - Biogeosciences, 113, G03003. (DOI: 10.1029/2007JG000539).
West, A. L., C. B. Zou, E. Stebler, S. D. Fuhlendorf, and B. Allred, 2016: Pyric-herbivory and Hydrological Responses in Tallgrass Prairie. Rangeland Ecology & Management, 69(1), 20-27. (DOI: 10.1016/j.rama.2015.10.004).
Wheatley, D. M., K. H. Knopfmeier, T. A. Jones, and G. J. Creager, 2015: Storm-scale data assimilation and ensemble forecasting with the NSSL experimental warn-on-forecast system. Part I: Radar data experiments. Weather and Forecasting, 30(6), 1795-1817. (DOI: 10.1175/WAF-D-15-0043.1).
White, F. J., R. P. Wettemann, M. L. Looper, T. M. Prado, and G. L. Morgan, 2002: Seasonal effects on estrous behavior and time of ovulation in nonlactating beef cows. J. Anim. Sci., 80, 3053-3059. (DOI: 10.2527/2002.80123053x).
White, L. D., 2014: Mobile Observations of a Quasi-Frontal Transient Moisture Boundary in the Deep South. Wea. Forecasting, 29, 1356-1373. (DOI: 10.1175/WAF-D-14-00009.1).
Widener, J. M., T. J. Gliedt, and P. Hartman, 2017: Visualizing dynamic capabilities as adaptive capacity for municipal water governance. Sustainability Science, 12(2), 203-219. (DOI: 10.1007/s11625-016-0408-y).
Will, R. E., S. M. Wilson, C. B. Zou, and T. C. Hennessey, 2013: Increased vapor pressure deficit due to higher temperature leads to greater transpiration and faster mortality during drought for tree seedlings common to the forest–grassland ecotone. New Phytologist, 200(2), 366-374. (DOI: 10.1111/nph.12321).
Williams, R. J., S. W. Hallgren, G. W. T. Wilson, M. W. Palmer, 2013: Juniperus virginiana encroachment into upland oak forests alters arbuscular mycorrhizal abundance and litter chemistry. Applied Soil Ecology, 65, 23-30. (DOI: 10.1016/j.apsoil.2012.12.020).
Wilson, J. W., and R. D. Roberts, 2006: Summary of convective storm initiation and evolution during IHOP: Observational and modeling perspective. Mon Wea. Rev., 134, 23-47. (DOI: 10.1175/MWR3069.1).
Wilson, T.C., J. Brenner, Z. Morrison, J.D. Jacob, and B.R. Elbing, 2022: Wind Speed Statistics from a Small UAS and Its Sensitivity to Sensor Location. Atmosphere, 13(3), . (DOI: 10.3390/atmos13030443).
Wimhurst, J.J., and J.S. Greene, 2019: Oklahoma's future wind energy resources and their relationship with the Central Plains low-level jet. Renewable and Sustainable Energy Reviews, 115, 24 pp. (DOI: 10.1016/j.rser.2019.109374).
Windahl, E., and K. de Beurs, 2016: An intercomparison of Landsat land surface temperature retrieval methods under variable atmospheric conditions using in situ skin temperature. International Journal of Applied Earth Observation and Geoinformation, 51, 11-27. (DOI: 10.1016/j.jag.2016.04.003).
Wine, M. L., and J. Hendrickx, 2013: Biohydrologic effects of eastern redcedar encroachment into grassland, Oklahoma, USA. Biologia, 68(6), 1132-1135. (DOI: 10.2478/s11756-013-0252-9).
Wine, M. L., C. B. Zou, J. A. Bradford, and S. A. Gunter, 2012: Runoff and sediment responses to grazing native and introduced species on highly erodible Southern Great Plains soil. J. of Hydr., 450–451, 336-341. (DOI: 10.1016/j.jhydrol.2012.05.012).
Wine, M. L., J. M. Hendrickx, D. Cadol, C. B. Zou, and T. E. Ochsner, 2015: Deep drainage sensitivity to climate, edaphic factors, and woody encroachment, Oklahoma, USA. Hydrol. Process., 29, 3779-3789. (DOI: 10.1002/hyp.10470).
Wine, M. L., T. E. Ochsner, A. Sutradhar, and R. Pepin, 2011: Effects of eastern redcedar encroachment on soil hydraulic properties along Oklahoma's grassland-forest ecotone. Hydrological Processes, 26(11), 1720-1728. (DOI: 10.1002/hyp.8306).
Witt, T.W., K.C. Flynn, C. Villavicencio, and B.K. Northup, 2022: Flood tolerance and flood loss predictions for tepary bean (Phaseolus acutifolius A. Gray) across the United States Southern Great Plains. Agronomy Journal, , . (DOI: 10.1002/agj2.21084).
Witte, B. M., R. F. Singler, and S. C. C. Bailey, 2017: Development of an Unmanned Aerial Vehicle for the Measurement of Turbulence in the Atmospheric Boundary Layer. Atmosphere, 2017, 8(10). (DOI: 10.3390/atmos8100195).
Wood, W. H., S. J. Marshall,T. L. Whitehead, and S. E. Fargey, 2018: Daily temperature records from a mesonet in the foothills of the Canadian. Earth System Science Data, 10, 595-607. (DOI: 10.5194/essd-10-595-2018).
Wright, E. C., B. H. Boehmer, M. J. Cooper-Prado, C. L. Bailey, R. P. Wettemann, 2014: Effect of elevated ambient temperature at parturition on duration of gestation, ruminal temperature, and endocrine function of fall-calving beef cows. Journal of Animal Science, 92(10), 4449-4456. (DOI: 10.2527/jas.2014-8055).
Wu, D., X. Dong, B. Xi, Z. Feng, A. Kennedy, G. Mullendore, M. Gilmore, and W.-K. Tao, 2013: Impacts of Microphysical Scheme on Convective and Stratiform Characteristics in Two High Precipitation Squall Line Events. J. Geophys. Res. Atmos., 118, 11,119-11,135. (DOI: 10.1002/jgrd.50798).
Wu, J., D. L. Nofziger, J. G. Warren, and J. A. Hattey, 2003: Modeling ammonia volatilization from surface-applied swine effluent. Soil Science Society of America Journal, 67, 1-11. (DOI: 10.2136/sssaj2003.1000).
Wyatt, B. M., T. E. Ochsner, C. A. Fiebrich, C. R. Neel, and D. S. Wallace, 2017: Useful Drainage Estimates Obtained from a Large-Scale Soil Moisture Monitoring Network by Applying the Unit-Gradient Assumption. Vadose Zone J., 16, 1-15. (DOI: 10.2136/vzj2017.01.0016).
Wyatt, B.M., T.E. Ochsner, J. Brown, C. Diggins, B.G. Illston, and C.A. Fiebrich, 2021: MesoSoil v2.0 – An updated soil physical property database for the Oklahoma Mesonet. Vadose Zone Journal, 2021, 1-9. (DOI: 10.1002/vzj2.20134).
Wyatt, B.M.,T.E. Ochsner, E.S. Krueger, and E.T. Jones, 2020: In-situ soil moisture data improve seasonal streamflow forecast accuracy in rainfall-dominated watersheds. Journal of Hydrology, 590, 125404. (DOI:10.1016/j.jhydrol.2020.125404).
Wyszogrodzki, A. A., S. Miao, and F. Chen, 2012: Evaluation of the coupling between mesoscale-WRF and LES?EULAG models for simulating fine-scale urban dispersion. Atmos. Res., 118, 324-345. (DOI: 10.1016/j.atmosres.2012.07.023).
Xia, Y., C. D. Peter‐Lidard, M. Huang, H. Wei, and M. Ek, 2015: Improved NLDAS‐2 Noah‐simulated hydrometeorological products with an interim run. Hydrological Processes, 29, 780-792. (DOI: 10.1002/hyp.10190).
Xia, Y., D. Mocko, M. Huang, B. Li, M. Rodell, K.E. Mitchell, X. Cai, and M.B. Ek, 2017: Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States. J. Hydrometeor., 18, 625-649. (DOI: 10.1175/JHM-D-16-0112.1).
Xia, Y., J. Sheffield, M. B. Ek, J. Dong, N. Chaney, H. Wei, J. Meng, and E. F. Wood, 2014: Evaluation of multi-model simulated soil moisture in NLDAS-2. J. of Hydrol., 512, 107-125. (DOI: 10.1016/j.jhydrol.2014.02.027).
Xia, Y., K. Mitchell, M. Ek, J. Sheffield, B. Cosgrove, E. Wood, L. Luo, C. Alonge, H. Wei, J. Meng, B. Livneh, et. al., 2012: Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products. J. of Geophysical Res., 117, D03109. (DOI: 10.1029/2011JD016048).
Xia, Y., M. B. Ek, C. D. Peters‐Lidard, D. Mocko, M. Svoboda, J. Sheffield, and E. F. Wood, 2014: Application of USDM statistics in NLDAS‐2: Optimal blended NLDAS drought index over the continental United States. J. Geophys. Res. Atmos., 119(6), 2947-2965. (DOI: 10.1002/2013JD020994).
Xia, Y., M. B. Ek, Y. Wu, T. Ford, and S. M. Quiring, 2015: Comparison of NLDAS-2 simulated and NASMD observed daily soil moisture. Part I: Comparison and analysis. Journal of Hydrometeorology, 16(5), 1962-1980. (DOI: 10.1175/JHM-D-14-0096.1).
Xia, Y., M. B. Ek, Y. Wu, T. Ford, and S. M. Quiring, 2015: Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part II: Impact of Soil Texture Classification and Vegetation Type Mismatches. Journal of Hydrometeorology, 16(5), 1981-2000. (DOI: 10.1175/JHM-D-14-0097.1).
Xia, Y., M. Ek, J. Sheffield, B. Livneh, M. Huang, H. Wei, S. Feng, L. Luo, J. Meng, and E. Wood, 2013: Validation of Noah-simulated Soil temperature in the North American Land Data Assimilation System Phase 2. J. of Appl Meteor and Clim., 52, 455-471. (DOI: 10.1175/JAMC-D-12-033.1).
Xia, Y., T. W. Ford, Y. Wu, S. M. Quiring, and M. B. Ek, 2015: Automated quality control of in situ soil moisture from the North American Soil Moisture Database using NLDAS-2 products. Journal of Applied Meteorology and Climatology, 54(6), 1267-1282. (DOI: 10.1175/JAMC-D-14-0275.1).
Xie, S., Y. Zhang, S. E. Giangrande, M. P. Jensen, R. McCoy, and M. Zhang, 2014: Interactions between cumulus convection and its environment as revealed by the MC3E sounding array. J. Geophys. Res. Atmos., 119(20), 11784-11808. (DOI: 10.1002/2014JD022011).
Xing, L., J. D. Spitler, and A. Bandyopadhyay, 2017: Prediction of undisturbed ground temperature using analytical and numerical modeling. Part III: Experimental validation of a world-wide dataset. Science and Technology for the Built Environment, 23:5, 826-842. (DOI: 10.1080/23744731.2016.1253978).
Xu, Q., and B. Zhou, 2003: Retrieving soil moisture from soil temperature measurements by using linear regression. Adv. Atmos. Sci., 20, 849-858.
Xu, Q., and C. J. Qiu, 1997: A variational method for computing surface heat fluxes from ARM surface energy and radiation balance systems. J. Appl. Meteor., 36, 3-11. (DOI: 10.1175/1520-0450(1997)036<0003:AVMFCS>2.0.CO;2).
Xu, Q., B. Zhou, S. D. Burk, and E. H. Barker, 1999: An air-soil layer coupled scheme for computing surface heat fluxes. J. Appl. Meteor., 38, 211-223. (DOI: 10.1175/1520-0450(1999)038<0211:AASLCS>2.0.CO;2).
Xu, Q., L. Wei, and K. Nai, 2015: Analyzing vortex winds in radar-observed tornadic mesocyclones for nowcast applications. Weather and Forecasting, 30(5), 1140-1157. (DOI: 10.1175/WAF-D-15-0046.1).
Xu, Q., L. Wei, K. Nai, S. Liu, R. M. Rabin, and Q. Zhao, 2015: A Radar Wind Analysis System for Nowcast Applications. Advances in Meteorology, 2015, Article ID 264515, 13 pg. (DOI: 10.1155/2015/264515).
Xu, X., D. Li, and Y. Luo, 2015: Modeled ecosystem responses to intra-annual redistribution and levels of precipitation in a prairie grassland. Ecological Modelling, 297, 33-41. (DOI: 10.1016/j.ecolmodel.2014.11.010).
Xu, X., R. A. Sherry, S. Niu, D. Li, and Y. Luo, 2013: Net primary productivity and rain‐use efficiency as affected by warming, altered precipitation, and clipping in a mixed‐grass prairie. Global Change Biology, 19(9), 2753-2764. (DOI: 10.1111/gcb.12248).
Xu, X., R. A. Sherry, S. Niu, J. Zhou, and Y. Luo, 2012: Long-term experimental warming decreased labile soil organic carbon in a tallgrass prairie. Plant and Soil., 361, 307-315. (DOI: 10.1007/s11104-012-1265-9).
Xu, X., Y. Luo, Z. Shi, X. Zhou, and D. Li, 2014: Consistent proportional increments in responses of belowground net primary productivity to long-term warming and clipping at various soil depths in a tallgrass prairie. Oecologia, 174(3), 1045-1054. (DOI: 10.1007/s00442-013-2828-z).
Xu, X., Z. Shi, D. Li, X. Zhou, R. A. Sherry, and Y. Luo, 2015: Plant community structure regulates responses of prairie soil respiration to decadal experimental warming. Glob. Change Biol., 21, 3846-3853. (DOI: 10.1111/gcb.12940).
Xu., X., S. Niu, R. A. Sherry, X. Zhou, J. Zhou, and Y. Luo, 2012: Interannual variability in responses of belowground net primary productivity (NPP) and NPP partitioning to long-term warming and clipping in a tallgrass prairie. Global Change Biology, 18, 1648-1656. (DOI: 10.1111/j.1365-2486.2012.02651.x).
Xue, L., J. Fan, Z. J. Lebo, W. Wu, H. Morrison, W. W. Grabowski, X. Chu, I. Geresdi, K. North, R. Stenz, Y. Gao, X. Lou, et al., 2017: Idealized Simulations of a Squall Line from the MC3E Field Campaign Applying Three Bin Microphysics Schemes: Dynamic and Thermodynamic Structure. Mon. Wea. Rev., 145, 4789-4812. (DOI: 10.1175/MWR-D-16-0385.1).
Xue, M., and W. J. Martin, 2006: A high-resolution modeling study of the 24 May 2002 dryline case during IHOP. Part I: Numerical simulation and general evolution of the dryline and convection. Mon Wea. Rev., 34, 149-171. (DOI: 10.1175/MWR3071.1).
Xue, M., and W. J. Martin, 2006: A high-resolution modeling study of the 24 May 2002 case during IHOP. Part II: Horizontal convective rolls and convective initiation. Mon Wea. Rev., 134, 172-191. (DOI: 10.1175/MWR3072.1).
Xue, M., D. Wang, J. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation. Meteorology and Atmospheric Physics, 82, 139-170. (DOI: 10.1007/s00703-001-0595-6).
Xue, M., F. Kong, K. W. Thomas, J. Gao, Y. Wang, K. Brewster, and K. K. Droegemeier, 2013: Prediction of convective storms at convection-resolving 1 km resolution over continental United States with radar data assimilation: An example case of 26 May 2008 and precipitation forecasts from spring 2009. Advances in Meteorology, 2013, Article ID 259052, 9 pg. (DOI: 10.1155/2013/259052).
Xue, M., M. Hu, and A. D. Schenkman, 2014: Numerical prediction of the 8 May 2003 Oklahoma City tornadic supercell and embedded tornado using ARPS with the assimilation of WSR-88D data. Weather and Forecasting, 29(1), 39-62. (DOI: 10.1175/WAF-D-13-00029.1).
Yang, D., 2020: Quantifying the spatial scale mismatch between satellite-derived solar irradiance and in situ measurements: A case study using CERES synoptic surface shortwave flux and the Oklahoma Mesonet. Journal of Renewable and Sustainable Energy, 12(5), 056104. (DOI: 10.1063/5.0025771).
Yilmaz, M.T., W.T. Crow, M.C. Anderson, and C. Hain, 2012: An objective methodology for merging satellite- and model-based soil moisture products. Water Resources, Res, 48, W11502. (DOI: 10.1029/2011WR011682).
Yimam Y. T., T. E. Ochsner, and G. A. Fox, 2017: Hydrologic cost-effectiveness ratio favors switchgrass production on marginal croplands over existing grasslands. PLOS ONE, 12(8), e0181924. (DOI: 10.1371/journal.pone.0181924).
Yimam, Y. T., T. E. Ochsner, and V. G. Kakani, 2015: Evapotranspiration partitioning and water use efficiency of switchgrass and biomass sorghum managed for biofuel. Agricultural Water Management, 155, 40-47. (DOI: 10.1016/j.agwat.2015.03.018).
Yin, J., J. D. Albertson, J. R. Rigby, and A. Porporato, 2015: Land and atmospheric controls on initiation and intensity of moist convection: CAPE dynamics and LCL crossings. Water Resources Research, 51, 8476-8493. (DOI: 10.1002/2015WR017286).
Young, C. B., A. A. Bradley, W. F. Krajewski, A. Kruger, and M. L. Morrissey, 2000: Evaluating NEXRAD multisensor precipitation estimates for operational hydrologic forecasting. J. Hydrometeor., 1, 241-254. (DOI:10.1175/1525-7541(2000)001<0241:ENMPEF>2.0.CO;2).
Yu, S., T. Fang, H. Dong, L. Yan, D.L. Martin, J.Q. Moss, JC.H. Fontanier, and Y. Wu, 2021: Genetic and QTL mapping in African bermudagrass. The Plant Genome, , e20073. (DOI: 10.1002/tpg2.20073).
Yuan, S. and S. M. Quiring, 2017: Comparison of three methods of interpolating soil moisture in Oklahoma. Int. J. Climatol., 37, 987–997. (DOI: 10.1002/joc.4754).
Yuan, S. and S. M. Quiring, 2017: Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations. Hydrology and Earth System Sciences, 21 (4), 2203-2218. (DOI: 10.5194/hess-21-2203-2017).
Yuan, S., and S. M. Quiring, 2014: Drought in the US Great Plains (1980–2012): A sensitivity study using different methods for estimating potential evapotranspiration in the Palmer Drought Severity Index. J. Geophys. Res. Atmos., 119(19), 10996-11010. (DOI: 10.1002/2014JD021970).
Yuan, S., S.M. Quiring, and C. Zhao, 2020: Evaluating the Utility of Drought Indices as Soil Moisture Proxies for Drought Monitoring and Land-Atmosphere Interactions. Journal of Hydrometeorology, , . (DOI: 10.1175/JHM-D-20-0022.1).
Yuan, S., Y. Wang, S.M. Quiring, T.W. Ford, and A.L. Houston, 2020: A sensitivity study on the response of convection initiation to in situ soil moisture in the central United States. Climate Dynamics, , 1-16. (DOI: 10.1007/s00382-019-05098-0).
Yue, E. and J.N. Veenstra, 2018: Prediction of active zone depth in Oklahoma using soil matric suction. Journal of GeoEngineering, 13(1), 29-38. (DOI: 10.6310/jog.201803_13(1).3).
Yue, E., and R. Bulut, 2014: Equilibrium Matric Suctions in Subgrade Soils in Oklahoma Based on Thornthwaite Moisture Index (TMI). Advances in Transportation Geotechnics and Materials for Sustainable Infrastructure, June 2014, 17-24.
Yue, E., L. Chen, R. Bulut, and Q. Cheng, 2014: Climatic Parameter TMI in Subgrade Soils. Climatic Effects on Pavement and Geotechnical Infrastructure, 2014, 109-116. (DOI: 10.1061/9780784413326).
Yussouf, N., and D. J. Stensrud, 2006: Prediction of near-surface variables at independent locations from a bias-corrected ensemble forecasting system. Mon Wea. Rev., 134, 3415-3424. (DOI: 10.1175/MWR3258.1).
Yussouf, N., E. R. Mansell, L. J. Wicker, D. M. Wheatley, and D. J. Stensrud, 2013: The ensemble Kalman filter analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell storm using single-and double-moment microphysics schemes. Monthly Weather Review, 141(10), 3388-3412. (DOI: 10.1175/MWR-D-12-00237.1).
Yussouf, N., J. Gao, D. J. Stensrud, and G. Ge, 2013: The impact of mesoscale environmental uncertainty on the prediction of a tornadic supercell storm using ensemble data assimilation approach. Advances in Meteorology, 2013, Article ID 731647, 15 pg. (DOI: 10.1155/2013/731647).
Yussouf, N., J. S. Kain, and A. J. Clark, 2016: Short-term Probabilistic Forecasts of the 31 May 2013 Oklahoma Tornado and Flash Flood Event Using a Continuous-Update-Cycle Storm-scale Ensemble System. Weather and Forecasting, 31, 957-983. (DOI: 10.1175/WAF-D-15-0160.1).
Zampieri, M., E. Serpetzoglou, E. N. Anagnostou, E. I. Nikolopoulos, A. Papadopoulos, 2012: Improving the representation of river–groundwater interactions in land surface modeling at the regional scale: Observational evidence and parameterization applied in the Community Land Model. J. of Hydr., 420-421, 72-86. (DOI: 10.1016/j.jhydrol.2011.11.041).
Zeng, L., S. Hu, D. Xiang, X. Zhang, D. Li, L. Li, and T. Zhang, 2019: Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data via a Machine Learning Method. Remote Sensing, 11(3), 284. (DOI: 10.3390/rs11030284).
Zhang, G., S. Luchs, A. Ryzhkov, M. Xue, L. Ryzhkova, Q. Cao, 2011: Winter Precipitation Microphysics Characterized by Polarimetric Radar and Video Disdrometer Observations in Central Oklahoma. J. Appl. Meteor. Climatol., 50, 1558–1570. (DOI: 10.1175/2011JAMC2343.1).
Zhang, J., K. Howard, C. Langston, S. Vasiloff, B. Kaney, A. Arthur, S. Van Cooten, K. Kelleher, D. Kitzmiller, F. Ding, et. al., 2011: National Mosaic and Multi-Sensor QPE (NMQ) System. Bulletin of Amer. Meteor. Soc., 92, 1321-1338. (DOI: 10.1175/2011BAMS-D-11-00047.1).
Zhang, M. H., and J. L. Lin, 1997: Constrained variational analysis of sounding data based on column-integrated budgets of mass, heat, moisture, and momentum: Approach and application to ARM measurements. J. Atmos. Sci., 54, 1503-1524. (DOI: 10.1175/1520-0469(1997)054<1503:CVAOSD>2.0.CO;2).
Zhang, N., C. Zhao, and S. M. Quiring, 2017: Winter Wheat Yield Prediction Using Normalized Difference Vegetative Index and Agro-Climatic Parameters in Oklahoma. Agronomy Journal, 109 (6), 2700-2713. (DOI: 10.2134/agronj2017.03.0133).
Zhang, N., Q. Williams, and H. Liu, 2010: Effects of land-surface heterogeneity on numerical simulations of mesoscale atmospheric boundary layer processes. Theoretical and Applied Climatology, 102, 307-317.
Zhang, N., S. Quiring, T. Ochsner, and T. Ford, 2017: Comparison of Three Methods for Vertical Extrapolation of Soil Moisture in Oklahoma. Vadose Zone Journal, 16 (10), . (DOI: 10.2136/vzj2017.04.0085).
Zhang, N., S.M. Quiring, and T.W. Ford, 2021: Blending Noah, SMOS and In-Situ Soil Moisture Using Multiple Weighting and Sampling Schemes. Journal of Hydrometeorology, , 53 pp. (DOI: 10.1175/JHM-D-20-0119.1).
Zhang, N., Y. Hong, Q. Qin, and L. Liu, 2013: VSDI: a visible and shortwave infrared drought index for monitoring soil and vegetation moisture based on optical remote sensing. International Journal of Remote Sensing, 34(13), 4585-4609. (DOI: 10.1080/01431161.2013.779046).
Zhang, N., Y. Hong, Q. Qin, and L. Zhu, 2013: Evaluation of the visible and shortwave infrared drought index in China. International Journal of Disaster Risk Science, 4(2), 68-76. (DOI: 10.1007/s13753-013-0008-8).
Zhang, S. W., C. J. Qiu, and Q. Xu, 2004: Estimating soil water contents from soil temperature measurements by using adaptive Kalman filter. J. Appl. Meteor., 43, 379-389. (DOI: 10.1175/1520-0450(2004)043<0379:ESWCFS>2.0.CO;2).
Zhang, S. W., C. J. Qiu, and Q. Xu, 2005: Comments on "Estimating soil water contents from soil temperature measurements by using an adaptive Kalman filter" - Reply. J. Appl. Meteor., 44, 551-552. (DOI: 10.1175/1520-0450(2004)043<0379:ESWCFS>2.0.CO;2).
Zhang, X. C., 2004: CLIGEN non-precipitation parameters and their impact on WEPP crop simulation. Applied Engineering in Agriculture, 20, 447-454.
Zhang, X. C., and J. D. Garbrecht, 2003: Evaluation of CLIGEN precipitation parameters and their implication on WEPP runoff and erosion prediction. Transactions of the ASAE, 46, 311-320. (DOI: 10.13031/2013.12982).
Zhang, X. C., L. A. Hunt, W. A. Phillips, G. Horn, J. Edward and H. Zhang, 2008: A Wheat Grazing Model for Simulating Grain and Beef Production: Part II-Model Validation. Agron. J., 100, 1248-1258. (DOI: 10.2134/agronj2007.0373).
Zhang, Y., A. Suyker, and K. Paustian, 2018: Improved Crop Canopy and Water Balance Dynamics for Agroecosystem Modeling Using DayCent. Agronomy Journal, 110 (2), 511-524. (DOI: 10.2134/agronj2017.06.0328).
Zhang, Y., and S. A. Klein, 2010: Mechanisms Affecting the Transition from Shallow to Deep Convection over Land: Inferences from Observations of the Diurnal Cycle Collected at the ARM Southern Great Plains Site. Journal of the Atmospheric Sciences, 67, 2943-2959. (DOI: 10.1175/2010JAS3366.1).
Zhang, Y., and S. A. Klein, 2013: Factors controlling the vertical extent of fair-weather shallow cumulus clouds over land: Investigation of diurnal-cycle observations collected at the ARM Southern Great Plains site. J. Atmos. Sci., 70(4), 1297-1315. (DOI: 10.1175/JAS-D-12-0131.1).
Zhang, Y., S. Zhou, P. Gentine, and X. Xiao, 2019: Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events?. Remote SEnsing of Environment, 234, 10 pp. (DOI: 10.1016/j.rse.2019.111451).
Zhang, Y., T. E. Ochsner, C. A. Fiebrich and B. G. Illston, 2019: Recalibration of Sensors in One of The World’s Longest Running Automated Soil Moisture Monitoring Networks. Soil Science Society of America Journal, 83 (4), 1003-1011. (DOI: 10.2136/sssaj2018.12.0481).
Zhang, Z., V. Koren, S. Reed, M. Smith, Y. Zhang, F. Moreda, and B. Gosgrove, 2012: SAC-SMA a priori parameter differences and their impact on distributed hydrologic model simulations. J. of Hydr., 420-421, 216-227. (DOI: 10.1016/j.jhydrol.2011.12.004).
Zhao, H., G.F. Sassenrath, M.B. Kirkham, N. Wan, and X. Lin, 2021: Daily soil temperature modeling improved by integrating observed snow cover and estimated soil moisture in the U.S. Great Plains. Hydrology and Earth System Sciences, , . (DOI: 10.5194/hess-2021-164).
Zhao, L. and Zhong-Liang, Y., 2018: Multi-sensor land data assimilation: Toward a robust global soil moisture and snow estimation. Remote Sensing of Environment, 216, 13-27. (DOI: 10.1016/j.rse.2018.06.033).
Zhong, S., and J. C. Doran, 1997: A study of the effects of spatially varying fluxes on cloud formation and boundary layer properties using data from the Southern Great Plains Cloud and Radiation Testbed. J. Climate, 10, 327-341. (DOI: 10.1175/1520-0442(1997)010<0327:ASOTEO>2.0.CO;2).
Zhong, S., and J. C. Doran, 1998: An evaluation of the importance of surface flux variability on GCM-scale boundary-layer characteristics using realistic meteorological and surface forcing. J. Climate, 11, 2774-2788. (DOI: 10.1175/1520-0442(1998)011<2774:AEOTIO>2.0.CO;2).
Zhou, B., and Q. Xu, 1999: Computing surface fluxes from mesonet data. J. Appl. Meteor., 38, 1370-1383. (DOI: 10.1175/1520-0450(1999)038<1370:CSFFMD>2.0.CO;2).
Zhou, X., E. Weng, and Y. Lou, 2008: Modeling patterns of nonlinearity in ecosystem responses to temperature, CO2, and precipitation changes. Ecological Applications, 18, 453-466. (DOI: 10.1890/07-0626.1).
Zhou, X., S. Wan, and Y. Luo, 2007: Source components and interannual variability of soil CO2 efflux under experimental warming and clipping in a grassland ecosystem. Global Change Biology, 13, 761–775. (DOI: 10.1111/j.1365-2486.2007.01333.x).
Zhou, X., X. Xu, G. Zhou and Y. Luo, 2018: Temperature sensitivity of soil organic carbon decomposition increased with mean carbon residence time: Field incubation and data assimilation. Glob Change Biol., 24, 810-822. (DOI: 10.1111/gcb.13994).
Zhou, Y., G.A. Fox,, R.B. Miller,, R. Mollenhauer, and S. Brewer, 2018: Groundwater flux estimation in streams: A thermal equilibrium approach. Journal of Hydrology, 561, 822-832. (DOI: 10.1016/j.jhydrol.2018.04.001).
Zhou, Y., X. Xiao, G. Zhang, P. Wagle, R. Bajgain, J. Dong, C. Jin, J.B. Basara, M.C. Anderson, C. Hain, and J. A. Otkin, 2017: Quantifying agricultural drought in tallgrass prairie region in the U.S. Southern Great Plains through analysis of a water-related vegetation index from MODIS images. Agricultural and Forest Meteorology, 246, 111-122. (DOI: 10.1016/j.agrformet.2017.06.007).
Zhou, Y., X. Xiao, P. Wagle, R. Bajgain, H. Mahan, J. B. Basara, J. Dong, Y. Qin, G. Zhang, Y. Luo, and P. H. Gowda, 2017: Examining the short-term impacts of diverse management practices on plant phenology and carbon fluxes of Old World bluestems pasture. Agricultural and forest meteorology, 237, 60-70. (DOI: 10.1016/j.agrformet.2017.01.018).
Zhou,Y., K. Colton Flynn, P.H. Gowda, P. Wagle, S. Ma, V.G. Kakani, and J.L. Steiner, 2021: The potential of active and passive remote sensing to detect frequent harvesting of alfalfa. Intl/ J. of Appl. Earth Obs. and Geoinformation, 104, . (DOI: 10.1016/j.jag.2021.102539).
Ziegler, C. L., 2013: A diabatic Lagrangian technique for the analysis of convective storms. Part I: Description and validation via an observing system simulation experiment. J. Atmos. and Ocean. Tech., 30(10), 2248-2265. (DOI: 10.1175/JTECH-D-12-00194.1).
Ziegler, C. L., and E. N. Rasmussen, 1998: The initiation of moist convection at the dryline: forecasting issues from a case study perspective. Wea. Forecasting, 13, 1106-1131. (DOI: 10.1175/1520-0434(1998)013<1106:TIOMCA>2.0.CO;2).
Ziegler, C. L., E. N. Rasmussen, M. S. Buban, Y. P. Richardson, L. J. Miller, and R. M. Rabin, 2007: The "Triple Point" on 24 May 2002 during IHOP. Part II: Ground-Radar and In Situ Boundary Layer Analysis of Cumulus Development and Convection Initiation. Mon. Wea. Rev., 135, 2443-2472. (DOI: 10.1175/MWR3411.1).
Ziegler, C. L., M. S. Buban, and E. N. Rasmussen, 2007: A Lagrangian Objective Analysis Technique for Assimilating In Situ Observations with Multiple-Radar-Derived Airflow. Mon. Wea. Rev., 135, 2417-2442. (DOI: 10.1175/MWR3396.1).
Ziolkowska, J. R., 2018: Economic value of environmental and weather information for agricultural decisions – A case study for Oklahoma Mesonet. Agriculture, Ecosystems & Environment, 265, 503-512. (DOI: 10.1016/j.agee.2018.07.008).
Ziolkowska, J. R. and R. Reyes, 2017: Groundwater Level Changes Due to Extreme Weather—An Evaluation Tool for Sustainable Water Management. Water, 9(2), 117. (DOI: 10.3390/w9020117).
Ziolkowska, J. R., C. A. Fiebrich, J.D. Carlson, A.D. Melvin, A.J. Sutherland, K.A. Kloesel, G.D. McManus, B.G. Illston, et al., 2017: Benefits and Beneficiaries of the Oklahoma Mesonet: A Multisectoral Ripple Effect Analysis. Weather, Climate, and Society, 9(3), 499-519. (DOI: 10.1175/WCAS-D-16-0139.1).
Ziolkowska, J. R., and J. Zubillaga, 2018: Importance of weather monitoring for agricultural decision-making - an exploratory behavioral study for Oklahoma Mesonet: Importance of weather monitoring for agricultural decision making. Journal of the Science of Food and Agriculture, 98(13), 4945-4954. (DOI: 10.1002/jsfa.9027).
Zou, C. B., D. J. Turton, R. E. Will, D. M. Engle, and S. D. Fuhlendorf, 2014: Alteration of hydrological processes and streamflow with juniper (Juniperus virginiana) encroachment in a mesic grassland catchment. Hydrol. Process., 28(26), 6173-6182. (DOI: 10.1002/hyp.10102).
Zou, Z., J. Dong, M. A. Menarguez, X. Xiao, Y. Qin, R. B. Doughty, K. V. Hooker, and K. D. Hambright, 2017: Continued decrease of open surface water body area in Oklahoma during 1984–2015. Science of the Total Environment, 595, 451-460. (DOI: 10.1016/j.scitotenv.2017.03.259).