Editorial Type:
Article
Article Type:
Research Article

A Variable-Resolution Stretched-Grid General Circulation Model: Regional Climate Simulation

Michael S. Fox-Rabinovitz Department of Meteorology/ESSIC, University of Maryland, College Park, Maryland, and Data Assimilation Office, Goddard Space Flight Center, Greenbelt, Maryland

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Lawrence L. Takacs General Sciences Corporation, Beltsville, Maryland, and Data Assimilation Office, Goddard Space Flight Center, Greenbelt, Maryland

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Ravi C. Govindaraju General Sciences Corporation, Beltsville, Maryland, and Data Assimilation Office, Goddard Space Flight Center, Greenbelt, Maryland

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Max J. Suarez Laboratory for Atmospheres, Goddard Space Flight Center, Greenbelt, Maryland

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Print Publication:
01 Mar 2001
DOI:
https://doi.org/10.1175/1520-0493(2001)129<0453:AVRSGG>2.0.CO;2
Page(s):
453–469
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Abstract

The development of and results obtained with a variable-resolution stretched-grid GCM for the regional climate simulation mode are presented. A global variable-resolution stretched grid used in the study has enhanced horizontal resolution over the United States as the area of interest. The stretched-grid approach is an ideal tool for representing regional- to global-scale interactions. It is an alternative to the widely used nested-grid approach introduced over a decade ago as a pioneering step in regional climate modeling.

The major results of the study are presented for the successful stretched-grid GCM simulation of the anomalous climate event of the 1988 U.S. summer drought. The straightforward (with no updates) 2-month simulation is performed with 60-km regional resolution. The major drought fields, patterns, and characteristics, such as the time-averaged 500-hPa heights, precipitation, and the low-level jet over the drought area, appear to be close to the verifying analyses for the stretched-grid simulation. In other words, the stretched-grid GCM provides an efficient downscaling over the area of interest with enhanced horizontal resolution, in spite of degradation of skill over the coarser resolution far away from the area of interest. It is also shown that the stretched-grid GCM skill is sustained over the area of interest throughout the simulation extended to 1 yr.

The stretched-grid GCM, developed and tested in a simulation mode, is a viable tool for regional and subregional climate studies and applications.

Corresponding author address: Dr. Michael S. Fox-Rabinovitz, ESSIC, CSS Bldg., University of Maryland, College Park, MD 20742.

Abstract

The development of and results obtained with a variable-resolution stretched-grid GCM for the regional climate simulation mode are presented. A global variable-resolution stretched grid used in the study has enhanced horizontal resolution over the United States as the area of interest. The stretched-grid approach is an ideal tool for representing regional- to global-scale interactions. It is an alternative to the widely used nested-grid approach introduced over a decade ago as a pioneering step in regional climate modeling.

The major results of the study are presented for the successful stretched-grid GCM simulation of the anomalous climate event of the 1988 U.S. summer drought. The straightforward (with no updates) 2-month simulation is performed with 60-km regional resolution. The major drought fields, patterns, and characteristics, such as the time-averaged 500-hPa heights, precipitation, and the low-level jet over the drought area, appear to be close to the verifying analyses for the stretched-grid simulation. In other words, the stretched-grid GCM provides an efficient downscaling over the area of interest with enhanced horizontal resolution, in spite of degradation of skill over the coarser resolution far away from the area of interest. It is also shown that the stretched-grid GCM skill is sustained over the area of interest throughout the simulation extended to 1 yr.

The stretched-grid GCM, developed and tested in a simulation mode, is a viable tool for regional and subregional climate studies and applications.

Corresponding author address: Dr. Michael S. Fox-Rabinovitz, ESSIC, CSS Bldg., University of Maryland, College Park, MD 20742.

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