Experimental Weekly to Seasonal U.S. Forecasts with the Regional Spectral Model

J. Roads
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Since 27 September 1997, the Scripps Experimental Climate Prediction Center (ECPC) has been making near real-time experimental global and regional dynamical forecasts with the National Centers for Environmental Prediction (NCEP) global spectral model (GSM) and the corresponding regional spectral model (RSM), which is based on the GSM, but which provides higher-resolution simulations and forecasts for limited regions. The global and regional forecast skill of the GSM was previously described in several papers. The purpose of this paper is to describe the RSM-based U.S. regional forecast system, various biases and errors in these regional U.S. forecasts, as well as the significant skill of the of temperature, precipitation, soil moisture, relative humidity, wind speed, and planetary boundary layer height forecasts at weekly to seasonal time scales. The skill of these RSM forecasts is comparable to the skill of the GSM forecasts.

Scripps Experimental Climate Prediction Center, University of California, San Diego, La Jolla, California

CORRESPONDING AUTHOR: J. Roads, Scripps Experimental Climate Prediction Center, UCSD, 0224, La Jolla, CA 92093-0224, E-mail: jroads@ucsd.edu

Since 27 September 1997, the Scripps Experimental Climate Prediction Center (ECPC) has been making near real-time experimental global and regional dynamical forecasts with the National Centers for Environmental Prediction (NCEP) global spectral model (GSM) and the corresponding regional spectral model (RSM), which is based on the GSM, but which provides higher-resolution simulations and forecasts for limited regions. The global and regional forecast skill of the GSM was previously described in several papers. The purpose of this paper is to describe the RSM-based U.S. regional forecast system, various biases and errors in these regional U.S. forecasts, as well as the significant skill of the of temperature, precipitation, soil moisture, relative humidity, wind speed, and planetary boundary layer height forecasts at weekly to seasonal time scales. The skill of these RSM forecasts is comparable to the skill of the GSM forecasts.

Scripps Experimental Climate Prediction Center, University of California, San Diego, La Jolla, California

CORRESPONDING AUTHOR: J. Roads, Scripps Experimental Climate Prediction Center, UCSD, 0224, La Jolla, CA 92093-0224, E-mail: jroads@ucsd.edu
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