A two-component generalized extreme value distribution for precipitation frequency analysis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F16%3A00456409" target="_blank" >RIV/68378289:_____/16:00456409 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60460709:41330/16:70949 RIV/00216208:11320/16:10334375 RIV/46747885:24510/16:00008835
Výsledek na webu
<a href="http://dx.doi.org/10.1016/j.jhydrol.2016.01.032" target="_blank" >http://dx.doi.org/10.1016/j.jhydrol.2016.01.032</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jhydrol.2016.01.032" target="_blank" >10.1016/j.jhydrol.2016.01.032</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A two-component generalized extreme value distribution for precipitation frequency analysis
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
A two-component generalized extreme value distribution for precipitation frequency analysis
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
DG - Vědy o atmosféře, meteorologie
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/GA14-18675S" target="_blank" >GA14-18675S: Pokročilé modely srážkových extrémů a jejich aplikace v simulacích klimatických modelů s vysokým rozlišením</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Hydrology
ISSN
0022-1694
e-ISSN
—
Svazek periodika
534
Číslo periodika v rámci svazku
March
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
10
Strana od-do
659-668
Kód UT WoS článku
000371940900053
EID výsledku v databázi Scopus
2-s2.0-84956603577