Number of the records: 1  

Uncertainty in the area-related QPF for heavy convective precipitation

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    SYSNO ASEP0327270
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleUncertainty in the area-related QPF for heavy convective precipitation
    TitleNejistota v kvantitativní předpovědi silných konvektivních srážek vztažené na plochu
    Author(s) Řezáčová, Daniela (UFA-U) RID, ORCID
    Zacharov, Petr, jr. (UFA-U) RID, ORCID
    Sokol, Zbyněk (UFA-U) RID, ORCID
    Source TitleAtmospheric Research. - : Elsevier - ISSN 0169-8095
    Roč. 93, 1-3 (2009), s. 238-246
    Number of pages9 s.
    Publication formweb - web
    ActionEuropean Conference on Severe Storms /4./
    Event date10.09.2007-14.09.2007
    VEvent locationMiramare -Trieste
    CountryIT - Italy
    Event typeEUR
    Languageeng - English
    CountryNL - Netherlands
    KeywordsConvective storm ; Quantitative precipitation forecast ; Uncertainty in precipitation forecasting ; Ensemble forecasting ; Numerical weather prediction model
    Subject RIVDG - Athmosphere Sciences, Meteorology
    R&D ProjectsGA205/07/0905 GA ČR - Czech Science Foundation (CSF)
    OC 112 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z30420517 - UFA-U, BC-A (2005-2011)
    UT WOS000267743900022
    DOI10.1016/j.atmosres.2008.12.005
    AnnotationWe studied five convective events producing heavy local rainfall with the help of the numerical weather prediction model LM COSMO. The model was run with a horizontal resolution of 2.8 km. We created an ensemble of 13 forecasts by modifying initial and boundary conditions. Uncertainties in the area-related quantitative precipitation forecast (QPF) were evaluated with the help of a fraction skill score that can quantify the ensemble spread and skill. The spread represents the differences between the control forecast and the forecasts provided by each ensemble member, and the skill evaluates the difference between the precipitation forecast and radar-based rainfall. Analyses show how the forecast lead time and spatial scale influence the spread and skill values. Despite the different areal structures of precipitation fields, the relationships between spread and skill appear to be similar.
    WorkplaceInstitute of Atmospheric Physics
    ContactKateřina Adamovičová, adamovicova@ufa.cas.cz, Tel.: 272 016 012 ; Kateřina Potužníková, kaca@ufa.cas.cz, Tel.: 272 016 019
    Year of Publishing2010
Number of the records: 1  

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