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Precipitation extremes derived from temporally aggregated time series and the efficiency of their correction
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SYSNO ASEP 0545080 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Precipitation extremes derived from temporally aggregated time series and the efficiency of their correction Author(s) Hnilica, Jan (UH-J) SAI, ORCID, RID
Slámová, Romana (UH-J) ORCID, RID, SAI
Šípek, Václav (UH-J) SAI, ORCID, RID
Tesař, Miroslav (UH-J) ORCID, SAI, RIDSource Title Hydrological Sciences Journal. - : Taylor & Francis - ISSN 0262-6667
Roč. 66, č. 15 (2021), s. 2249-2257Number of pages 9 s. Publication form Online - E Language eng - English Country GB - United Kingdom Keywords precipitation extremes ; rainfall data ; temporal aggregation ; underestimation ; correction ; GEV distribution Subject RIV DA - Hydrology ; Limnology OECD category Hydrology R&D Projects GA20-00788S GA ČR - Czech Science Foundation (CSF) Method of publishing Limited access Institutional support UH-J - RVO:67985874 UT WOS 000714282200001 EID SCOPUS 85118545720 DOI 10.1080/02626667.2021.1988087 Annotation Extreme precipitation intensities derived from temporally aggregated time series can be considerably underestimated. Therefore, some form of correction is appropriate prior to their usage e.g. for the derivation of idf curves. The correction is usually performed in a multiplicative manner, using the coefficient obtained as a mean ratio of real to aggregated extremes. In this paper a novel correction approach is derived, allowing an individual treatment of each aggregated extreme. The precipitation time series from Prague (central Europe) are used for the assessment of newly introduced method. The comparison with the standard approach shows that the new method reaches better results as it reduces an undesirable overestimation of the corrected extremes. Moreover, the effect of data aggregation on extreme precipitation intensities is evaluated as well as the effect on quantiles of the generalized extreme value (GEV) distribution. The results are compared to those published for other climatic conditions. Workplace Institute of Hydrodynamics Contact Soňa Hnilicová, hnilicova@ih.cas.cz, Tel.: 233 109 003 Year of Publishing 2022 Electronic address https://www.tandfonline.com/doi/full/10.1080/02626667.2021.1988087
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