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AGU: Journal of Geophysical Research, Atmospheres

 

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  • Meteorology and Atmospheric Dynamics: Climatology
  • Meteorology and Atmospheric Dynamics: Numerical modeling and data assimilation
  • Meteorology and Atmospheric Dynamics: General circulation
Abstract
Cited By (4)
 

Abstract

International Research Institute/Applied Research Centers (IRI/ARCs) regional model intercomparison over South America

J. Roads

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

S. Chen

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

S. Cocke

COAPS, Florida State University, Tallahassee, Florida, USA

L. Druyan

Earth Institute at Columbia University and NASA/Goddard Institute for Space Studies, New York, New York, USA

M. Fulakeza

Earth Institute at Columbia University and NASA/Goddard Institute for Space Studies, New York, New York, USA

T. LaRow

COAPS, Florida State University, Tallahassee, Florida, USA

P. Lonergan

Earth Institute at Columbia University and NASA/Goddard Institute for Space Studies, New York, New York, USA

J.-H. Qian

International Research Institute, Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA

S. Zebiak

International Research Institute, Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York, USA

A regional modeling intercomparison project for South America among the (1) Scripps Experimental Climate Prediction Center regional spectral model (RSM), (2) Florida State University nested regional spectral model (FSUNRSM), (3) Goddard Institute for Space Studies regional climate model (RCM), and (4) IRI regional climate model (RegCM2) is described herein. All regional models were driven by the NCEP/NCAR I global reanalysis over a South American domain centered on Brazil. In comparison to new Xie and Arkin 0.5° land observations, the regional models had a seasonal systematic precipitation error that was somewhat similar to the driving NCEP/NCAR reanalysis systematic error, although the regional model ensemble mean error was somewhat smaller, indicating a potential value for using multiple model ensembles. However, correlations, threat scores and biases were not noticeably better. In short, at their current levels of skill, regional models do not yet provide a noticable improvement over large-scale analyses.

Received 20 November 2002; accepted 20 March 2003; published 29 July 2003.

Citation: Roads, J., S. Chen, S. Cocke, L. Druyan, M. Fulakeza, T. LaRow, P. Lonergan, J.-H. Qian, and S. Zebiak (2003), International Research Institute/Applied Research Centers (IRI/ARCs) regional model intercomparison over South America, J. Geophys. Res., 108(D14), 4425, doi:10.1029/2002JD003201.

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