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.File in questo prodotto:
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