Precipitation extremes derived from temporally aggregated time series and the efficiency of their correction

0545080 - ÚH 2022 RIV GB eng J - Článek v odborném periodiku
Hnilica, Jan - Slámová, Romana - Šípek, Václav - Tesař, Miroslav
Precipitation extremes derived from temporally aggregated time series and the efficiency of their correction.
Hydrological Sciences Journal. Roč. 66, č. 15 (2021), s. 2249-2257. ISSN 0262-6667. E-ISSN 2150-3435
Grant CEP: GA ČR(CZ) GA20-00788S
Institucionální podpora: RVO:67985874
Klíčová slova: precipitation extremes * rainfall data * temporal aggregation * underestimation * correction * GEV distribution
Obor OECD: Hydrology
Impakt faktor: 3.942, rok: 2021
Způsob publikování: Omezený přístup
https://www.tandfonline.com/doi/full/10.1080/02626667.2021.1988087

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.
Trvalý link: http://hdl.handle.net/11104/0326861