A two-component generalized extreme value distribution for precipitation frequency analysis

0456409 - ÚFA 2017 RIV NL eng J - Článek v odborném periodiku
Rulfová, Zuzana - Buishand, A. - Roth, M. - Kyselý, Jan
A two-component generalized extreme value distribution for precipitation frequency analysis.
Journal of Hydrology. Roč. 534, March (2016), s. 659-668. ISSN 0022-1694. E-ISSN 1879-2707
Grant CEP: GA ČR(CZ) GA14-18675S
Institucionální podpora: RVO:68378289
Klíčová slova: precipitation extremes * two-component extreme value distribution * regional frequency analysis * convective precipitation * stratiform precipitation * Central Europe
Kód oboru RIV: DG - Vědy o atmosféře, meteorologie
Impakt faktor: 3.483, rok: 2016
http://www.sciencedirect.com/science/article/pii/S0022169416000500

A two-component generalized extreme value(TCGEV) distribution is introduced based on the assumption that the annual maxima for convective and stratiform precipitation follow two separate generalized extreme value (GEV) distributions. The regional TCGEV model is used to analyze 6-hour precipitation data for 11 stations in the Czech Rep. over 1982–2010 subdivided into predominantly convective and stratiform precipitation. For each type of precipitation, the shape parameter and the ratio of the scale parameter and the location parameter of the underlying GEV distributions are assumed to be constant over the region. The validity of this homogeneity assumption is explored with a bootstrap procedure and the goodness-of-fit is tested with the Anderson-Darling statistic both for each individual station and for all stations simultaneously. The return levels from the regional TCGEV distribution are compared with those obtained with the common method of fitting a regional GEV distribution to the overall annual maxima, ignoring their convective or stratiform origin.The differences are generally small,but they increase with return period and are larger at lowland stations where the proportion of convective precipitation extremes is greater.
Trvalý link: http://hdl.handle.net/11104/0256946