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| Titel |
Dynamically vs. empirically downscaled medium-range precipitation forecasts |
| VerfasserIn |
G. Bürger |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 13, no. 9 ; Nr. 13, no. 9 (2009-09-16), S.1649-1658 |
| Datensatznummer |
250011995
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| Publikation (Nr.) |
 copernicus.org/hess-13-1649-2009.pdf |
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| Zusammenfassung |
| For three small, mountainous catchments in Germany two medium-range
forecast systems are compared that predict precipitation for up to 5
days in advance. One system is composed of the global German weather
service (DWD) model, GME, which is dynamically downscaled using the
COSMO-EU regional model. The other system is an empirical (expanded)
downscaling of the ECMWF model IFS. Forecasts are verified against
multi-year daily observations, by applying standard skill scores to
events of specified intensity. All event classes are skillfully
predicted by the empirical system for up to five days lead time. For
the available prediction range of one to two days it is superior to
the dynamical system. |
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