Editorial Type:
Article
Article Type:
Research Article

The Role of an Advanced Land Model in Seasonal Dynamical Downscaling for Crop Model Application

D. W. Shin Center for Ocean–Atmospheric Prediction Studies, The Florida State University, Tallahassee, Florida

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J. G. Bellow Center for Ocean–Atmospheric Prediction Studies, The Florida State University, Tallahassee, Florida

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T. E. LaRow Center for Ocean–Atmospheric Prediction Studies, The Florida State University, Tallahassee, Florida

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S. Cocke Center for Ocean–Atmospheric Prediction Studies, The Florida State University, Tallahassee, Florida

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James J. O'Brien Center for Ocean–Atmospheric Prediction Studies, The Florida State University, Tallahassee, Florida

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Print Publication:
01 May 2006
DOI:
https://doi.org/10.1175/JAM2366.1
Page(s):
686–701
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Abstract

An advanced land model [the National Center for Atmospheric Research (NCAR) Community Land Model, version 2 (CLM2)] is coupled to the Florida State University (FSU) regional spectral model to improve seasonal surface climate outlooks at very high spatial and temporal resolution and to examine its potential for crop yield estimation. The regional model domain is over the southeast United States and is run at 20-km resolution, roughly resolving the county level. Warm-season (March–September) simulations from the regional model coupled to the CLM2 are compared with those from the model with a simple land surface scheme (i.e., the original FSU model). In this comparison, two convective schemes are also used to evaluate their roles in simulating seasonal climate, primarily for rainfall. It is shown that the inclusion of the CLM2 produces consistently better seasonal climate scenarios of surface maximum and minimum temperatures, precipitation, and shortwave radiation, and hence provides superior inputs to a site-based crop model to simulate crop yields. The FSU regional model with the CLM2 exhibits some capability in the simulation of peanut (Arachis hypogaea L.) yields, depending upon the convective scheme employed and the site selected.

Corresponding author address: D. W. Shin, Center for Ocean–Atmospheric Prediction Studies, The Florida State University, Tallahassee, FL 32306-2840. Email: shin@coaps.fsu.edu

Abstract

An advanced land model [the National Center for Atmospheric Research (NCAR) Community Land Model, version 2 (CLM2)] is coupled to the Florida State University (FSU) regional spectral model to improve seasonal surface climate outlooks at very high spatial and temporal resolution and to examine its potential for crop yield estimation. The regional model domain is over the southeast United States and is run at 20-km resolution, roughly resolving the county level. Warm-season (March–September) simulations from the regional model coupled to the CLM2 are compared with those from the model with a simple land surface scheme (i.e., the original FSU model). In this comparison, two convective schemes are also used to evaluate their roles in simulating seasonal climate, primarily for rainfall. It is shown that the inclusion of the CLM2 produces consistently better seasonal climate scenarios of surface maximum and minimum temperatures, precipitation, and shortwave radiation, and hence provides superior inputs to a site-based crop model to simulate crop yields. The FSU regional model with the CLM2 exhibits some capability in the simulation of peanut (Arachis hypogaea L.) yields, depending upon the convective scheme employed and the site selected.

Corresponding author address: D. W. Shin, Center for Ocean–Atmospheric Prediction Studies, The Florida State University, Tallahassee, FL 32306-2840. Email: shin@coaps.fsu.edu

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Journal of Applied Meteorology and Climatology

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