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Using the fractions skill score to assess the relationship between an ensemble QPF spread and skill
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SYSNO ASEP 0335711 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Using the fractions skill score to assess the relationship between an ensemble QPF spread and skill Title Odhad rozptylu a kvality ensemblové kvantitativní předpovědi srážek pomocí Fractions skill score Author(s) Zacharov, Petr, jr. (UFA-U) RID, ORCID
Řezáčová, Daniela (UFA-U) RID, ORCIDSource Title Atmospheric Research. - : Elsevier - ISSN 0169-8095
Roč. 94, č. 4 (2009), s. 684-693Number of pages 10 s. Language eng - English Country NL - Netherlands Keywords Quantitative precipitation forecast ; Ensemble forecasting ; Ensemble spread ; Ensemble skill ; Fractions Skill Score ; Forecast verification ; Radar-based rainfall Subject RIV DG - Athmosphere Sciences, Meteorology R&D Projects IAA300420804 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) OC 112 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z30420517 - UFA-U, BC-A (2005-2011) UT WOS 000273099800016 DOI 10.1016/j.atmosres.2009.03.004 Annotation Five convective events that produced heavy local rainfall in the Czech Republic were studied. The LM COSMO was run with a horizontal resolution of 2.8 km and an ensemble of 13 forecasts was created by modifying the initial and boundary conditions. Forecasts were verified by gauge-adjusted radar-based rainfalls. Ensemble skill and ensemble spread were determined using the Fractions Skill Score (FSS). The spread represents the differences between the control forecast and the forecasts provided by each ensemble member, while the skill evaluates the difference between the precipitation forecast and radar-based rainfalls. In this study, the ensemble skill is estimated on the basis of the ensemble spread. The numerical experiments used the FSS-based skill and spread values related to four events to estimate the skill–spread relationship. The relationship was applied to a fifth event to estimate the QPF ensemble skill given the ensemble FSS-based 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
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