Weissman, D. E., & Bourassa, M. A. (2011). The Influence of Rainfall on Scatterometer Backscatter Within Tropical Cyclone Environments-Implications on Parameterization of Sea-Surface Stress. In IEEE Transactions on Geoscience and Remote Sensing (Vol. 49, pp. 4805–4814).
Weissman, D. E., & Bourassa, M. A. (2008). Measurements of the Effect of Rain-Induced Sea Surface Roughness on the QuikSCAT Scatterometer Radar Cross Section. IEEE Trans. Geosci. Remote Sensing , 46 (10), 2882–2894.
Weissman, D. E., Bourassa, M. A., O'Brien, J. J., & Tongue, J. S. (2003). Calibrating the quikscat/seawinds radar for measuring rainrate over the oceans. IEEE Trans. Geosci. Remote Sensing , 41 (12), 2814–2820.
Weissman, D. E., Bourassa, M. A., & Tongue, J. (2002). Effects of Rain Rate and Wind Magnitude on SeaWinds Scatterometer Wind Speed Errors. J. Atmos. Oceanic Technol. , 19 (5), 738–746.
Weissman, D. E., & Bourassa, M. A. (2011). The effect of rain on ASCAT observations of the sea surface radar cross section using simultaneous 3-d NEXRAD rain measurements. In IEEE International Symposium on Geoscience and Remote Sensing IGARSS (pp. 1171–1174).
Weissman, D. E., Morey, S., & Bourassa, M. (2017). Studies of the effects of rain on the performance of the SMAP radiometer surface salinity estimates and applications to remote sensing of river plumes. In IEEE International Symposium on Geoscience and Remote Sensing IGARSS (pp. 1491–1494).
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Williams, M. (2010). Characterizing Multi-Decadal Temperature Variability in the Southeastern United States . Master's thesis, Florida State University, Tallahassee, FL.
Abstract: Prior studies of the long-term temperature record in the Southeastern United States (SE US) mostly discuss the long-term cooling trend, and the inter-annual variability produced by the region's strong ties to El Niño Southern Oscillation (ENSO). An examination of long-term temperature records in the SE US show clear multi-decadal variations in temperature, with relative warm periods in the 1920's through the mid 1950's and a cool period in the late 1950's through the late 1990's. This substantial shift in multi-decadal variability is not well understood and has not been fully investigated. It appears to account for the long-term downward trend in temperatures. An accurate characterization of this variability could lead to improved interannual and long-term forecasts, which would be useful for agricultural planning, drought mitigation, water management, and preparation for extreme temperature events. Statistical methods are employed to determine the spatial coherence of the observed variability on seasonal time scales. The goal of this study is to characterize the nature of this variability through the analysis of National Weather Service Cooperative Observer Program (COOP) station data in Florida, Georgia, Alabama, North Carolina, and South Carolina. One finding is a shift in the temperature Probability Distribution Function (PDF) between warm regimes and cool regimes.
Williford, C. E., Krishnamurti, T. N., Torres, R. C., Cocke, S., Christidis, Z., & Vijaya Kumar, T. S. (2003). Real-Time Multimodel Superensemble Forecasts of Atlantic Tropical Systems of 1999. Mon. Wea. Rev. , 131 (8), 1878–1894.
Winsberg, M. D., O'Brien, J. J., Zierden, D., & Griffin, M. (2003). Florida Weather . Gainesville, FL: University Press of Florida.