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| Titel |
Introducing uncertainty of radar-rainfall estimates to the verification of mesoscale model precipitation forecasts |
| VerfasserIn |
M. P. Mittermaier |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 8, no. 3 ; Nr. 8, no. 3 (2008-05-08), S.445-460 |
| Datensatznummer |
250005524
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| Publikation (Nr.) |
 copernicus.org/nhess-8-445-2008.pdf |
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| Zusammenfassung |
A simple measure of the uncertainty associated with using radar-derived
rainfall estimates as "truth" has been introduced to the Numerical
Weather Prediction (NWP) verification process to assess the effect
on forecast skill and errors. Deterministic precipitation forecasts
from the mesoscale version of the UK Met Office Unified Model for a
two-day high-impact event and for a month were verified at the daily and
six-hourly time scale using a spatially-based intensity-scale method
and various traditional skill scores such as the Equitable Threat
Score (ETS) and log-odds ratio. Radar-rainfall accumulations from the
UK Nimrod radar-composite were used.
The results show that the inclusion of uncertainty has some effect,
shifting the forecast errors and skill. The study also allowed for the
comparison of results from the intensity-scale method and traditional
skill scores. It showed that the two methods complement each other, one
detailing the scale and rainfall accumulation thresholds where the errors occur,
the other showing how skillful the forecast is. It was also found that for the
six-hourly forecasts the error distributions remain similar with forecast
lead time but skill decreases. This highlights the difference between
forecast error and forecast skill, and that they are not necessarily the same. |
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