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Estimating QPF uncertainty by ensemble skill for local flash flood producing rainfalls
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SYSNO ASEP 0340869 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Estimating QPF uncertainty by ensemble skill for local flash flood producing rainfalls Author(s) Zacharov, Petr, jr. (UFA-U) RID, ORCID
Řezáčová, Daniela (UFA-U) RID, ORCIDSource Title UrbanRain09. Rainfall in the urban context: forecasting, risk and climate change. - Zurich : ETH Zurich, 2009 / Molnar P. ; Burlando P. ; Einfalt T. - ISBN 978-3-909386-27-7 Pages s. 230-234 Number of pages 5 s. Publication form CD-ROM - CD-ROM Action International workshop on precipitationin urban areas /8./ Event date 10.12.2009-13.12.2009 VEvent location St. Moritz Country CH - Switzerland Event type WRD Language eng - English Country CH - Switzerland Keywords QPF ; forecast uncertainty ; ensemble forecast ; Fractions Skill Score ; ensemble spread ; ensemble skill Subject RIV DG - Athmosphere Sciences, Meteorology R&D Projects GA205/07/0905 GA ČR - Czech Science Foundation (CSF) OC 112 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z30420517 - UFA-U, BC-A (2005-2011) Annotation Forecast uncertainty is an inherent part of high-resolution quantitative precipitation forecast (QPF) and it is particularly pronounced when predicting heavy convective precipitation. Ensemble prediction is a usefull mean to assess the QPF uncertainty by employing ensemble spread that characterizes differences between the control forecast and forecasts provided by each ensemble member. In this study, we used gauge adjusted radar-based rainfalls in the QPF verification and we applied Fractions Skill Score (FSS) in the calculation of the ensemble skill and ensemble spread. Workplace Institute of Atmospheric Physics Contact Kateřina Adamovičová, adamovicova@ufa.cas.cz, Tel.: 272 016 012 ; Kateřina Potužníková, kaca@ufa.cas.cz, Tel.: 272 016 019 Year of Publishing 2010
Number of the records: 1