Reports

Balasundaram, B., S.T. Bukkapatnam, Z. Kong, and Y. Hong, 2013: Proactive approach to Transportation Resource allocation Under Severe Winter Weather Emergencies. Oklahoma Transportation Center, 77pp.
Barnes, R., M. Tull, J. Havlicek, M. Atiquzzaman, and J. Sluss, 2011: Roadway Weather Information System and Automatic Vehicle Location (AVL) Coordination, Oklahoma Transportation Center. 28 Feb 2011..
Cocks, S., D. Berkowitz, R. Murnan, J. Schultz, S. Castleberry, 2012: Initial Assessment of the Dual-polarization Quantitative Precipitation Estimate Algorithm’s Performance for Three Dual-Polarization WSR-88Ds..
Cook, D. R., 2016: Energy Balance Bowen Ratio (EBBR) Handbook. United States, (DOI: 10.2172/1245976).
Duthie, J.A., J.P. Damicone and A.J. Sutherland, 1995: Predicting Outbreaks of Watermelon Anthracnose Based on Mesonet-derived Weather Data. inal Project Report; Targeted Research Initiative Program, Division of Agricultural Sciences and Natural Resources, Oklahoma State University.
Elliott, R.L. and P. Yue, 1998: Reducing Temperature-Based Noise in Rainfall Data Collected with Modified Weighing-Bucket Gauges in . Project Completion Report, USDA-ARS Grazinglands Research Laboratory, El Reno, Oklahoma.
Greene, J.S., M. Klatt, H. Johson, M. Morrissey and M. Shafer, 1998: Analysis of the 1997 Operations of the Oklahoma Weather Modification Demonstration Program. EVAC Report 98-001. Operation of the Oklahoma Weather Modification Demonstrations Program.
Harwell, G.R., 2012: Estimation of Evaporation from Open Water—A Review of Selected Studies, Summary of U.S. Army Corps of Engineers Data Collection and Methods, and Evaluation of Two Methods for Estimation of Evaporation from Five Reservoirs in Texas, U.S. Army Corps of Eng. 27 Sept 2012..
Johnson, E., G. Geissler, and D. Murray, 2010: Oklahoma Forest Resource Assessment. A comprehensive analysis of forest-related conditions, trends, threats, and opportunities, http://www.forestry.ok.gov.
Mahre, A., and G. Creager, 2013: Determining the Optimal Sampling Rate of a Sonic Anemometer Based on the Shannon-Nyquist Sampling Theorem.
Reichle, R., V. Maggioni, and E. Anagnostou, 2013: Soil Moisture Assimilation and Precipitation Error Modeling in the Ensemble-based GEOS-5 Land Data Assimilation System. Annual Report & Research Highlights,
Stenson, K. and E. Wilund, 1996: Spatial and Temporal Variation of the Earth/Atmosphere System Across Oklahoma from February 1994 Thr. Senior Capstone Report for METR 4913, School of Meteorology, University of Oklahoma.
Vieux, B.E., Y. Hong, F.M. Sagbohan, and S. Khan, 2012: Quantification of water fluxes and irrigation use through remote sensing. Final Report..
Week, J, 1995: The Impact of the MCS of August 7, 1994 Across Eastern Oklahoma. Report; Research Experiences for Undergraduates Summer Program, University of Oklahoma.
Wharton, S., M. Simpson, J. Osuna, J. Newman, and S. Biraud, 2013: Assessment of Land Surface Model Performance in WRF for Simulating Wind at Heights Relevant to the Wind Energy Community (No. LLNL-TR-643914).
Xia, Y., M. Ek, C. Peters-Lidard, D. Mocko, J. Sheffield, and E. F. Wood, 2012: Objective Blends of Multiple Ensemble-Mean NLDAS Drought Indices. Science and Technology Infusion Climate Bulletin, NOAA’s National Weather Service.
Xie, B., X. Dong, and S. Xie, 2012: Contribution to the development of DOE ARM Climate Modeling Best Estimate Data (CMBE) products: Satellite data over the ARM permanent and AMF sites: Final Report, Lawrence Livermore National Laboratory, LLNL-SR-557794. 18 May 2012..