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Point and areal validation of forecast precipitation fields

Published online by Cambridge University Press:  22 February 2006

Eddy Yates
Affiliation:
Laboratoire d'étude des Transferts en Hydrologie et Environnement, Grenoble, France
Sandrine Anquetin
Affiliation:
Laboratoire d'étude des Transferts en Hydrologie et Environnement, Grenoble, France
Véronique Ducrocq
Affiliation:
Centre National de la Recherche Météorologique, Météo-France, Toulouse, France Email: eddy.yates@hmg.inpg.fr
Jean-Dominique Creutin
Affiliation:
Laboratoire d'étude des Transferts en Hydrologie et Environnement, Grenoble, France
Didier Ricard
Affiliation:
Centre National de la Recherche Météorologique, Météo-France, Toulouse, France Email: eddy.yates@hmg.inpg.fr
Katia Chancibault
Affiliation:
Laboratoire d'étude des Transferts en Hydrologie et Environnement, Grenoble, France
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Abstract

Two high resolution quantitative precipitation forecasts with different levels of realism are evaluated. Classical scores (bias, correlation and scores based on contingency tables) confirm that the two forecasts do not have the same quality. A multi-scale extension of these scores has then been made to produce a validation for hydrological purposes. Rainfall fields are integrated over surfaces of various scales. For better simulation, scores indicate an increase in the quality of the simulated precipitation for larger surfaces (typically more than 100 km2): the localisation errors are reduced by the aggregation. This helps to determine the usefulness of such forecasts for hydrological purposes.

Type
Research Article
Copyright
2006 Royal Meteorological Society

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