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Sub-daily temporal reconstruction of extreme precipitation events using NWP model simulations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F19%3A00503635" target="_blank" >RIV/68378289:_____/19:00503635 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/19:10398768

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S016980951830886X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S016980951830886X?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.atmosres.2019.03.019" target="_blank" >10.1016/j.atmosres.2019.03.019</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sub-daily temporal reconstruction of extreme precipitation events using NWP model simulations

  • Original language description

    An alternative correction procedure for a posteriori improvement of quantitative precipitation re-forecast generated by a numerical weather prediction (NWP) model COSMO in a high temporal resolution is presented. The main motivation is to provide reliable precipitation re-analyses from the NWP model, which will enable a more detailed analysis of historical extreme precipitation events (EPEs). The procedure adjusts the model precipitation sums by daily rain gauge measurements and corrects the localization of 10-min model precipitation totals based on the highest correlation coefficient between the 24-h model and observed precipitation sums. The results show that the NWP model COSMO usually well predicts the occurrence of EPEs, but its spatial localization is not always accurate. This is usually a case of more localized convective precipitation, where the impact of the applied correction procedure is the most evident. A detailed temporal analysis including a calculation of correlation coefficient and Fractions Skill Score also confirmed that the re-forecast improvement is observed in a time when the highest precipitation within a given EPE occurs. Beyond this time, the effect of the correction is insignificant. In contrast, the impact of the correction is rather negligible in case the NWP model correctly locates precipitation re-forecast because uncorrected and corrected re-forecasts are very similar. Although the results stem from the seven selected EPEs only, the study provides a general performance of the proposed method and indicates that the method can be applied to historical EPEs, for which no weather radar data are available, to obtain their more accurate sub-daily temporal reconstruction.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

    <a href="/en/project/GA17-23773S" target="_blank" >GA17-23773S: Extremeness and predictability of precipitation events depending on their properties and atmospheric conditions</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Atmospheric Research

  • ISSN

    0169-8095

  • e-ISSN

  • Volume of the periodical

    224

  • Issue of the periodical within the volume

    1 August

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    16

  • Pages from-to

    65-80

  • UT code for WoS article

    000466256500006

  • EID of the result in the Scopus database

    2-s2.0-85063147240