A TRUNCATION ERROR REDUCING SCHEME FOR BALANCED FORECAST MODELS

ARNE SUNDSTRÖM International Meteorological Institute, Stockholm, Sweden

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Abstract

Various ways to improve the numerical accuracy of solutions to balanced forecast equations are discussed and compared. Among these, the most efficient method seems to be a correction operator technique with an associated space-truncation error of fourth order in δs. Results from a number of real data short-range forecasts with this method are also presented and discussed.

Abstract

Various ways to improve the numerical accuracy of solutions to balanced forecast equations are discussed and compared. Among these, the most efficient method seems to be a correction operator technique with an associated space-truncation error of fourth order in δs. Results from a number of real data short-range forecasts with this method are also presented and discussed.

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