The forecast verification problemof precipitations is a complex task. Within the European project “INTERREG II C” it has been applied a method designed to discriminate statistically significative differences between skill scores. This methodology uses a resampling technique (Bootstrap) as hypothesis test. Three different operational Limited Area Models (LAMs) are evaluated as a test of the statistical method.

Application of a statistical methodology for limited area model intercomparison using a bootstrap technique

SPERANZA, Antonio;
2003-01-01

Abstract

The forecast verification problemof precipitations is a complex task. Within the European project “INTERREG II C” it has been applied a method designed to discriminate statistically significative differences between skill scores. This methodology uses a resampling technique (Bootstrap) as hypothesis test. Three different operational Limited Area Models (LAMs) are evaluated as a test of the statistical method.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/116101
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