Jonathan L. Case
Mr. Case has over 20 years of experience in meteorology and research-to-operations, with a focus on numerical weather prediction (NWP), land surface modeling (LSM), data assimilation, and verification. He conducts NWP and LSM experiments for SPoRT by incorporating unique satellite products into NWP models and determining impacts on forecast models. Mr. Case also generates real-time products for applications with SPoRT partners in the National Weather Service (NWS) and internationally with the NASA SERVIR project. He manages real-time simulations of the NASA Land Information System (LIS) over the U.S. (including SMAP data assimilation), Caribbean, and East Africa in numerous data formats to aid in drought and flood monitoring.
International applications include deterministic and ensemble modeling and verification studies over East Africa and South Asia for NASA SERVIR hubs, including hands-on training sessions in Huntsville, Alabama; Nairobi, Kenya; Kathmandu, Nepal; and Bangkok, Thailand. He is involved in tropical cyclone research by analyzing GPM / IMERG rain rates, providing insight into diurnal fluctuations of storm intensity and structure. Additionally, he works with NOAA NUCAPS sounding profiles and the HYSPLIT model to support nowcasting of convective hazards over the U.S.
Prior to SPoRT and SERVIR, Mr. Case worked with the Applied Meteorology Unit in Cape Canaveral, FL, where he transitioned technologies into operations for improving weather support to Space Shuttle launches and landings, and unmanned rocket launch operations.
Contact at: Jonathan.Case-1@nasa.gov
Education
- Master of Science in Meteorology (1998) University of Oklahoma, School of Meteorology
- Bachelor of Science in Meteorology (1995) SUNY College at Brockport, Department of the Earth Sciences
Positions
- Research Meteorologist (June 2006 - Present), ENSCO, Inc./SPoRT, Huntsville, Alabama
- Research Meteorologist (July 1998 - June 2006), ENSCO, Inc., Applied Meteorology Unit, Cape Canaveral, Florida
Publications
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McCaul, E. W. Jr., G. Priftis, J. L. Case, T. Chronis, P. N. Gatlin, S. J. Goodman, and F. Kong, 2020: Sensitivities of the WRF Lightning Forecasting Algorithm to parameterized microphysics and boundary layer schemes. Wea. Forecasting, 35(4), 1545-1560, doi:10.1175/WAF-D-19-0101.1.
McDonough, K. R., S. L. Hutchinson, J. M. Hutchinson, J. L. Case, and V. Rahmani, 2018: Validation and assessment of SPoRT-LIS surface soil moisture estimates for water resources management applications. J. Hydrology, 566, 43-54.
Blankenship, C. B., J. L. Case, W. L. Crosson, and B. T. Zavodsky, 2018: Correction of forcing-related artifacts in a land surface model by satellite soil moisture data assimilation. IEEE Geosci. Remote Sens. Lett., 15, 498-502.
Case, J. L., and B. T. Zavodsky, 2018: Evolution of 2016 drought in the Southeastern United States from a land surface modeling perspective. Results Phys., 8, 654-656.
Bikos, D., J. Finch, and J. L. Case, 2016: The environment associated with significant tornadoes in Bangladesh. Atmos. Res., 167, 183-195.
Blankenship, C. B., J. L. Case, B. T. Zavodsky, and W. L. Crosson, 2016: Assimilation of SMOS retrievals in the Land Information System. IEEE Trans. Geosci. Remote Sens., 54(11), 6320-6332.
Case, J. L., 2016: From drought to flooding in less than a week over South Carolina. Results Phys., 6, 1183-1184.
Blankenship, C. B., J. L. Case, B. T. Zavodsky, and W. L. Crosson, 2016: Assimilation of SMOS retrievals in the Land Information System. IEEE Trans. Geosci. Remote Sens., In Press.
Bikos, D., J. Finch, and J. L. Case, 2016: The environment associated with significant tornadoes in Bangladesh. Atmos. Res., 167, 183-195
Molthan, A. L., J. L. Case, J. Venner, R. Schroeder, M. R. Checchi, B. T. Zavodsky, A. Limaye, and R. G. O’Brien, 2015: Clouds in the cloud: Weather forecasts and applications within cloud computing environments. Bull. Amer. Meteor. Soc., 96(8), 1369-1379.
Case, J. L., F. J. La Fontaine, J. R. Bell, G. J. Jedlovec, S. V. Kumar, and C. D. PetersLidard, 2014: A Real-Time MODIS Vegetation Product for Land Surface and Numerical Weather Prediction Models. IEEE Trans. Geoscience and Rem. Sensing, 52: 3. pp. 1772-1786.
Zavodsky, B.T., J. L. Case, C.B. Blankenship, W.L. Crosson, K.D. White, 2013: Application of next-generation satellite data to a high-resolution, real-time land surface model. Earthzine, J. Kart, editor, Institute of Electrical and Electronics Engineers.
Case, J. L., S. V. Kumar, J. Srikishen, and G. J. Jedlovec, 2011: Improving numerical weather predictions of summertime precipitation over the southeastern United States through a high-resolution initialization of the surface state. Wea. Forecasting, 26, 785-807.
Case, J. L, S. V. Kumar, J. Srikishen, and G. J. Jedlovec, 2011: Improving Numerical Weather Predictions of Summertime Precipitation over the Southeastern United States through a High-Resolution Intialization of the Surface State. Wea. Forecasting, 26, 785-807
Kain, J. S., S. R. Dembek, S. J. Weiss, J. L. Case, J. J. Levit, and R. A. Sobash, 2010: Extracting unique information from highresolution forecast models: Monitoring selected fields and phenomena every time step. Wea. Forecasting, 25, 1536–1542
Case, J. L., W. L. Crosson, S. V. Kumar, W. M. Lapenta, and C. D. Peters-Lidard, 2008: Impacts of high-resolution land surface initialization on regional sensible weather forecasts from the WRF model. J. Hydrometeor., 9, 1249–1266
