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| Titel |
Evaluation of high-resolution precipitation analyses using a dense station network |
| VerfasserIn |
A. Kann, I. Meirold-Mautner, F. Schmid, G. Kirchengast, J. Fuchsberger, V. Meyer, L. Tüchler, B. Bica |
| 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 ; 19, no. 3 ; Nr. 19, no. 3 (2015-03-26), S.1547-1559 |
| Datensatznummer |
250120669
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| Publikation (Nr.) |
 copernicus.org/hess-19-1547-2015.pdf |
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| Zusammenfassung |
| The ability of radar–rain gauge merging algorithms to precisely analyse
convective precipitation patterns is of high interest for many applications,
e.g. hydrological modelling, thunderstorm warnings, and, as a reference, to
spatially validate numerical weather prediction models. However, due to
drawbacks of methods like cross-validation and due to the limited
availability of reference data sets on high temporal and spatial scales, an
adequate validation is usually hardly possible, especially on an operational
basis. The present study evaluates the skill of very high-resolution and
frequently updated precipitation analyses (rapid-INCA) by means of a very
dense weather station network (WegenerNet), operated in a limited domain of
the southeastern parts of Austria (Styria). Based on case studies and a
longer-term validation over the convective season 2011, a general
underestimation of the rapid-INCA precipitation amounts is shown by both
continuous and categorical verification measures, although the temporal and
spatial variability of the errors is – by convective nature – high. The
contribution of the rain gauge measurements to the analysis skill is
crucial. However, the capability of the analyses to precisely assess the
convective precipitation distribution predominantly depends on the
representativeness of the stations under the prevalent convective condition. |
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