HR: 0800h
AN: H31B-0361    [Abstracts]
TI: Improvements on the Regional Climate Predictions Using Initialized Soil Moisture and Snow Fields
AU: * Nunes, A
EM: anunes@ucsd.edu
AF: Experimental Climate Prediction Center, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093-0224, United States
AU: Roads, J
EM: jroads@ucsd.edu
AF: Experimental Climate Prediction Center, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92093-0224, United States
AB: The Experimental Climate Prediction Center's (ECPC's) Regional Spectral Model (RSM) was used for three experiments simulating the North American climate from 1979 to 2004. A 26-year control experiment used the National Centers for Environmental Prediction-Department of Energy Reanalysis II (R-2) as initial and boundary conditions. A climatology forcing experiment used daily climatological values of soil moisture and snow obtained from the control simulation. In a 3rd simulation, differences between the ECPC RSM predicted precipitation and observed precipitation were used to correct the simulated soil moisture. These three simulations then provided the initial soil moisture and snow fields for monthly predictions. Preliminary evaluations indicate that knowledge of the surface initial state overall improves the skill of monthly forecasts, particularly in spring and summer.
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
DE: 1854 Precipitation (3354)
DE: 1866 Soil moisture
DE: 3354 Precipitation (1854)
DE: 3355 Regional modeling
SC: Hydrology [H]
MN: 2007 Fall Meeting