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Optimizing Computations in Weather and Climate Prediction Models (1998)
| Venue: | Meteorol. Atmos. Phys |
| Citations: | 3 - 1 self |
BibTeX
@ARTICLE{Baer98optimizingcomputations,
author = {F. Baer and Baer Banglin Zhang and Bing Zhang},
title = {Optimizing Computations in Weather and Climate Prediction Models},
journal = {Meteorol. Atmos. Phys},
year = {1998},
volume = {67},
pages = {153--168}
}
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Abstract
To meet the challenge of developing a comprehensive weather and climate prediction model which can give realistic scenarios for many time scales, more computer power than is currently available will be needed. One possibility for alleviating this shortcoming is to increase the integration timestep. We propose and test several methods which may prove useful. One procedure is an expansion of the model dependent variables in a Taylor series. Application of this method to simple models indicates acceptable increases in timestep by a factor of five. A multilevel approach which is less complex to apply gives comparable results and is more successful when high accuracy is desired. To bypass the limiting constraint of the CFL condition on gravity waves, an approach is suggested in which the prediction model is represented in its normal modes and the high frequency modes are balanced while the low frequency modes are predicted. Experiments with this procedure are described and in ...
Keyphrases
climate prediction model computer power integration timestep prediction model simple model high frequency mode normal mode comparable result acceptable increase many time scale multilevel approach realistic scenario high accuracy cfl condition several method model dependent variable taylor series low frequency mode comprehensive weather gravity wave
