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Analysis and verification of reconstructed historical extreme precipitation events in an hourly resolution

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F21%3A00533220" target="_blank" >RIV/68378289:_____/21:00533220 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11310/21:10420959

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0169809520312461?dgcid=author" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0169809520312461?dgcid=author</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.atmosres.2020.105309" target="_blank" >10.1016/j.atmosres.2020.105309</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis and verification of reconstructed historical extreme precipitation events in an hourly resolution

  • Original language description

    Our knowledge of the course of extreme precipitation events (EPEs) based on both radar and automatic rain gauge measurements is limited to the last two decades: historical events can usually be characterized only by daily precipitation totals. This paper applies a newly developed method that enables the reconstruction of the subdaily course of historical precipitation events using precipitation simulations by the numerical weather prediction (NWP) model COSMO. The method is based on the adjustment of 24-h model precipitation sums by daily rain gauge measurements and on the subsequent correction of 10-min precipitation intensities simulated by the model. The method was applied to obtain subdaily reconstructions of 24 historical EPEs that occurred in the territory of the Czech Republic between 1960 and 2001. Hourly pluviograph records were used as reference data for verification of the reconstructions. In addition, the reconstructed precipitation (adjusted model precipitation) was compared with the raw model precipitation to objectively assess the improvement/deterioration of the precipitation reconstruction using the presented method. The verification was performed using a “fuzzy” point-based approach that considers the model precipitation not only in the pixel where the pluviograph is located but also in neighbouring pixels. The results show that the adjusted model precipitation is in good agreement with pluviograph records in the majority of the reconstructed EPEs, especially if a larger neighbourhood area is considered. In agreement with our previous results, the application of the reconstruction method improves precipitation reconstructions in cases of local convective precipitation. Widespread, predominantly stratiform precipitation is usually well reforecasted by the NWP model: therefore, the presented method does not significantly improve the 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/GA19-05011S" target="_blank" >GA19-05011S: Spatial and temporal dynamics of hydrometeorological extremes in montane areas</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • 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

    1873-2895

  • Volume of the periodical

    249

  • Issue of the periodical within the volume

    Feb 2021

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    18

  • Pages from-to

    105309

  • UT code for WoS article

    000598554500003

  • EID of the result in the Scopus database

    2-s2.0-85092659193