Počet záznamů: 1  

Nowcasting of the probability of accumulated precipitation based on the radar echo extrapolation

  1. 1.
    SYSNO ASEP0493654
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevNowcasting of the probability of accumulated precipitation based on the radar echo extrapolation
    Tvůrce(i) Pop, Lukáš (UFA-U) RID, ORCID
    Sokol, Zbyněk (UFA-U) RID, ORCID
    Minářová, Jana (UFA-U) RID, ORCID
    Celkový počet autorů3
    Zdroj.dok.Atmospheric Research. - : Elsevier - ISSN 0169-8095
    Roč. 216, 1 February (2019), s. 1-10
    Poč.str.10 s.
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.NL - Nizozemsko
    Klíč. slovascale-dependence ; part II ; forecasts ; model ; predictability ; rainfall ; images
    Vědní obor RIVDG - Vědy o atmosféře, meteorologie
    Obor OECDMeteorology and atmospheric sciences
    Institucionální podporaUFA-U - RVO:68378289
    UT WOS000452344700001
    EID SCOPUS85053783019
    DOI10.1016/j.atmosres.2018.09.019
    AnotaceThe study presents a new method nowcasting precipitation called the Ensemble Tree Method (ETM), which gives probability forecast of accumulated precipitation based on the extrapolation of radar reflectivity. ETM combines a tree model with a Bootstrap technique. It forecasts the probability that the hourly accumulated precipitation exceeds a given threshold for cells of 3 by 3 km size.
    ETM was tested using radar reflectivity data from July 2012 in a domain of 489 km by 291 km covering the Czech Republic (Central Europe). While forecasting, we considered a lead time of up to 180 min having a time step of 30 min and four precipitation thresholds (0.1, 1.0, 5.0, and 10.0 mm). ETM provided us forecasts of the probability of exceeding an hourly precipitation threshold from 0 to 60 min, 30 to 90 min, …, and 120 to 180 min. The performance of ETM was assessed using a skill score derived from the mean-square-error, and was compared with the performance of forecasts based on a logistic regression that was used as reference forecast. We demonstrated that the prediction of ETM is better than that of the reference forecast. The main advantage of ETM is that the ETM reflects the uncertainty of forecast better as compared to the overconfident reference forecasts, which is particularly true for the higher precipitation thresholds. Thus, despite low predicted probabilities, the forecasts given by ETM seem more realistic.
    PracovištěÚstav fyziky atmosféry
    KontaktKateřina Adamovičová, adamovicova@ufa.cas.cz, Tel.: 272 016 012 ; Kateřina Potužníková, kaca@ufa.cas.cz, Tel.: 272 016 019
    Rok sběru2019
Počet záznamů: 1  

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