Thomas M. Hopson, Ph.D.

2005 University of Colorado, Boulder, Boulder, CO, United States 
Atmospheric Science Physics
"Thomas Hopson"
Cross-listing: Physics Tree


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Peter J. Webster grad student 2005 CU Boulder
 (Operational flood-forecasting for Bangladesh.)
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Wood AW, Hopson T, Newman A, et al. (2016) Quantifying streamflow forecast skill elasticity to initial condition and climate prediction skill Journal of Hydrometeorology. 17: 651-668
Rostkier-Edelstein D, Kunin P, Hopson TM, et al. (2016) Statistical downscaling of seasonal precipitation in Israel International Journal of Climatology. 36: 590-606
Newman AJ, Clark MP, Sampson K, et al. (2015) Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: Data set characteristics and assessment of regional variability in hydrologic model performance Hydrology and Earth System Sciences. 19: 209-223
Pandya R, Hodgson A, Hayden MH, et al. (2015) Using weather forecasts to help manage meningitis in the West African Sahel Bulletin of the American Meteorological Society. 96: 103-115
Zhang J, Draxl C, Hopson T, et al. (2015) Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods Applied Energy. 156: 528-541
Abdussalam AF, Monaghan AJ, Steinhoff DF, et al. (2014) The impact of climate change on meningitis in northwest Nigeria: An assessment using CMIP5 climate model simulations Weather, Climate, and Society. 6: 371-379
Abdussalam AF, Monaghan AJ, Dukić VM, et al. (2014) Climate influences on meningitis incidence in Northwest Nigeria Weather, Climate, and Society. 6: 62-76
Hopson TM. (2014) Assessing the ensemble spread-error relationship Monthly Weather Review. 142: 1125-1142
Broman D, Rajagopalan B, Hopson T. (2014) Spatiotemporal variability and predictability of relative humidity over West African monsoon region Journal of Climate. 27: 5346-5363
Hirpa FA, Gebremichael M, Hopson TM, et al. (2014) Assimilation of Satellite Soil Moisture Retrievals into a Hydrologic Model for Improving River Discharge Remote Sensing of the Terrestrial Water Cycle. 319-329
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