Open AccessOn the use of the intensity‐scale verification technique to assess operational precipitation forecasts
Author(s) -
Csima Gabriella,
Ghelli Anna
Publication year - 2008
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.49
Subject(s) - scale (ratio) , quantitative precipitation forecast , forecast verification , precipitation , intensity (physics) , computer science , environmental science , meteorology , range (aeronautics) , forecast skill , climatology , geography , cartography , quantum mechanics , physics , materials science , geology , composite material
The article describes the attempt to include the intensity‐scale technique introduced by Casati et al . (2004) into a set of standardized verifications used in operational centres. The intensity‐scale verification approach accounts for the spatial structure of the forecast field and allows the skill to be diagnosed as a function of the scale of the forecast error and intensity of the precipitation events. The intensity‐scale method has been used to verify two different resolutions of the European Centre for Medium‐Range Weather Forecasts (ECMWF) operational quantitative precipitation forecast (QPF) over France, and to compare the performance of the ECMWF and the Hungarian Meteorological Service operational model (ALADIN) forecasts, run over Hungary. Two case studies have been introduced, which show some interesting insight into the spatial scale of the error. The distribution of daily skill score for an extended period of time is also presented. The intensity‐scale technique shows that the forecasts in general exhibit better skill for large‐scale events, and lower skill for small‐scale and intense events. In the paper, it is mentioned how some of the stringent assumptions on the domain over which the method can be applied, and the availability of the matched forecasts and observations, can limit its usability in an operational environment. Copyright © 2008 Royal Meteorological Society