2001Unpublished venueOpen access

USDOE - Final report 2000/2001 [Global Environmental Multiscale (GEM) global variable resolution model]

Jean Côté

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Abstract

The global variable resolution (Global Environmental Multiscale--GEM) model was developed into a very efficient parallel forecast model. It is being evaluated for climate simulations. Various aspects of the nested grid methodology for regional climate change studies were investigated with the Canadian Regional Climate Model. The parallel performance of the GEM model is now such that a high-resolution (1/2 degree) climate simulation is now possible on Environment Canada supercomputers. This high-resolution climate simulation will serve to compare the nested grid approach to the variable grid one in controlled numerical experiments. Benchmarking of the parallel Stretched-Grid GEOS has been initiated on Environment Canada supercomputers. Two workshops on regional climate modeling were held.

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The global variable resolution (Global Environmental Multiscale--GEM) model was developed into a very efficient parallel forecast model. It is being evaluated for climate simulations. Various aspects of the nested grid methodology for regional climate change studies were investigated with the Canadian Regional Climate Model. The parallel performance of the GEM model is now such that a high-resolution (1/2 degree) climate simulation is now possible on Environment Canada supercomputers. This high-resolution climate simulation will serve to compare the nested grid approach to the variable grid one in controlled numerical experiments. Benchmarking of the parallel Stretched-Grid GEOS has been initiated on Environment Canada supercomputers. Two workshops on regional climate modeling were held.

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Available abstract

The global variable resolution (Global Environmental Multiscale--GEM) model was developed into a very efficient parallel forecast model. It is being evaluated for climate simulations. Various aspects of the nested grid methodology for regional climate change studies were investigated with the Canadian Regional Climate Model. The parallel performance of the GEM model is now such that a high-resolution (1/2 degree) climate simulation is now possible on Environment Canada supercomputers. This high-resolution climate simulation will serve to compare the nested grid approach to the variable grid one in controlled numerical experiments. Benchmarking of the parallel Stretched-Grid GEOS has been initiated on Environment Canada supercomputers. Two workshops on regional climate modeling were held.

Key concepts: Climate model, Grid, Variable (mathematics), Downscaling, Nested set model, Benchmarking, Climate simulation, Computer science

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