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DOI: 10.5445/IR/1000062064
DOI: 10.3402/tellusa.v67.25047
Zitationen: 10
Web of Science
Zitationen: 9

Quantitative precipitation estimation based on highresolution numerical weather prediction and data assimilation with WRF - a performance test

Bauer, Hans-Stefan; Schwitalla, Thomas; Wulfmeyer, Volker; Bakhshaii, Atoossa; Ehret, Uwe; Neuper, Malte; Caumont, Olivier

Quantitative precipitation estimation and forecasting (QPE and QPF) are among the most challenging tasks in atmospheric sciences. In this work, QPE based on numerical modelling and data assimilation is investigated. Key components are the Weather Research and Forecasting (WRF) model in combination with its 3D variational assimilation scheme, applied on the convection-permitting scale with sophisticated model physics over central Europe. The system is operated in a 1-hour rapid update cycle and processes a large set of in situ observations, data from French radar systems, the European GPS network and satellite sensors. Additionally, a free forecast driven by the ECMWF operational analysis is included as a reference run representing current operational precipitation forecasting. The verification is done both qualitatively and quantitatively by comparisons of reflectivity, accumulated precipitation fields and derived verification scores for a complex synoptic situation that developed on 26 and 27 September 2012. The investigation shows that even the downscaling from ECMWF represents the synoptic situation reasonably well. However, sign ... mehr

Zugehörige Institution(en) am KIT Institut für Wasser und Gewässerentwicklung (IWG)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator ISSN: 0280-6495, 1600-0870
URN: urn:nbn:de:swb:90-620646
KITopen-ID: 1000062064
Erschienen in Tellus / A
Band 67
Heft 1
Seiten Art. Nr.: 25047
Nachgewiesen in Scopus
Web of Science
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