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Physical and Environmental Geography Commons™
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Full-Text Articles in Physical and Environmental Geography
Dynamically And Statistically Downscaled Seasonal Simulations Of Maximum Surface Air Temperature Over The Southeastern United States, Young-Kwon Lim, D W. Shin, Steven Cocke, T E. Larow, Justin T. Schoof, James J. O'Brien, Eric P. Chassignet
Dynamically And Statistically Downscaled Seasonal Simulations Of Maximum Surface Air Temperature Over The Southeastern United States, Young-Kwon Lim, D W. Shin, Steven Cocke, T E. Larow, Justin T. Schoof, James J. O'Brien, Eric P. Chassignet
Publications
Coarsely resolved surface air temperature (2 m height) seasonal integrations from the Florida State University/Center for Ocean-Atmospheric Prediction Studies Global Spectral Model (FSU/COAPS GSM) (~1.8º lon.-lat. (T63)) for the period of 1994 to 2002 (March through September each year) are downscaled to a fine spatial scale of ~20 km. Dynamical and statistical downscaling methods are applied for the southeastern United States region, covering Florida, Georgia, and Alabama. Dynamical downscaling is conducted by running the FSU/COAPS Nested Regional Spectral Model (NRSM), which is nested into the domain of the FSU/COAPS GSM. We additionally present a new statistical downscaling method. The rationale …
Downscaling Daily Maximum And Minimum Air Temperature In The Midwestern Usa: A Hybrid Empirical Approach, Justin T. Schoof, S C. Pryor, S M. Robeson
Downscaling Daily Maximum And Minimum Air Temperature In The Midwestern Usa: A Hybrid Empirical Approach, Justin T. Schoof, S C. Pryor, S M. Robeson
Publications
A new hybrid empirical downscaling technique is presented and applied to assess 21st century projections of maximum and minimum daily surface air temperatures (Tmax, Tmin) over the Midwestern USA. Our approach uses multiple linear regression to downscale the seasonal variations of the mean and standard deviation of daily Tmax and Tmin and the lag-0 and lag-1 correlations between daily Tmax and Tmin based on GCM simulation of the large-scale climate. These downscaled parameters are then used as inputs to a stochastic weather generator to produce time series of the daily Tmax and Tmin at 26 surface stations, in three time …