HR: 14:30h
AN: A33B-05    [Abstracts]
TI: An Upgraded FSU Global/Regional Climate Model System and its use in Crop Model Forecasting
AU: * Shin, D
EM: shin@coaps.fsu.edu
AF: COAPS, Florida State University, Tallahassee, FL 32306-2840
AU: LaRow, T
EM: larow@coaps.fsu.edu
AF: COAPS, Florida State University, Tallahassee, FL 32306-2840
AU: Cocke, S
EM: scocke@mailer.fsu.edu
AF: COAPS, Florida State University, Tallahassee, FL 32306-2840
AU: Bellow, J
EM: bellow@coaps.fsu.edu
AF: COAPS, Florida State University, Tallahassee, FL 32306-2840
AU: O'Brien, J J
EM: jim.obrien@coaps.fsu.edu
AF: COAPS, Florida State University, Tallahassee, FL 32306-2840
AB: The current Florida State University (FSU) global and regional climate models are upgraded by coupling the National Center for Atmospheric Research community land model (NCAR CLM2) as its land component in order to make a better simulation of land surface variables on the seasonal time scale which is important for crop model application. Climatological and seasonal simulations with the FSU climate model coupled to the CLM2 (hereafter, FSUCLM) are compared to those of the control (the FSU model with he original simple land surface treatment). The current version of the FSU model is known to have a cold bias in the temperature field and a wet bias in precipitation. The implementation of FSUCLM has reduced or eliminated this bias due to reduced latent heat flux and increased sensible heat flux. The role of the land model in seasonal simulations is shown to be more important during summer time than winter time. An additional experiment that assimilates atmospheric forcings produces improved land model initial conditions, which in turn reduces the biases further. The regional model is placed over the Southeast United States and run at 20 km resolution, roughly resolving the county level. Outputs from the models (max/min surface temperature, precipitation, and shortwave radiation at the surface) are used as inputs into the crop model to determine the crop yields. The inclusion of the CLM2 helps produce better crop yield forecasts.
DE: 1610 Atmosphere (0315, 0325)
DE: 3309 Climatology (1620)
DE: 3322 Land/atmosphere interactions
SC: Atmospheric Sciences [A]
MN: 2005 Joint Assembly