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| Titel |
On evaluation of ensemble precipitation forecasts with observation-based ensembles |
| VerfasserIn |
B. Ahrens, S. Jaun |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Observation, Prediction and Verification of Precipitation (EGU Session 2006) ; Nr. 10 (2007-04-26), S.139-144 |
| Datensatznummer |
250007865
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| Publikation (Nr.) |
 copernicus.org/adgeo-10-139-2007.pdf |
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| Zusammenfassung |
| Spatial interpolation of precipitation data is uncertain. How important is
this uncertainty and how can it be considered in evaluation of high-resolution probabilistic precipitation
forecasts? These questions are discussed by experimental evaluation of the
COSMO consortium's limited-area ensemble prediction system COSMO-LEPS. The
applied performance measure is the often used Brier skill score (BSS).
The observational references in the evaluation are (a)
analyzed rain gauge data by ordinary Kriging and (b) ensembles of interpolated
rain gauge data by stochastic simulation. This permits the consideration of
either a deterministic reference (the event is observed or not with 100%
certainty) or a probabilistic reference that makes allowance for uncertainties
in spatial averaging. The evaluation experiments show that the
evaluation uncertainties are substantial even for the large area
(41 300 km2) of
Switzerland with a mean rain gauge distance as good as 7 km: the one- to three-day
precipitation forecasts have skill decreasing with forecast lead time but the one- and two-day forecast performances differ not significantly. |
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