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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F16%3A00008835" target="_blank" >RIV/46747885:24510/16:00008835 - isvavai.cz</a>

Alternative codes found

RIV/68378289:_____/16:00456409 RIV/60460709:41330/16:70949 RIV/00216208:11320/16:10334375

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0022169416000500" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0022169416000500</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>

Result language

angličtina

Original language name

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

Original language description

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-h precipitation data for 11 stations in the Czech Republic 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. High return levels based on a GEV fit to the overall annual maxima for these stations tend to be smaller than those for the convective component owing to the heavier upper tail of the distribution of convective extremes. Results from the TCGEV distribution are consistent, i.e., the estimated return levels of the overall annual maxima cannot be smaller than those for the convective and stratiform components obtained from the GEV distribution.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10503 - Water resources

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Hydrology

ISSN

0022-1694

e-ISSN

—

Volume of the periodical

534

Issue of the periodical within the volume

March

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

10

Pages from-to

659-668

UT code for WoS article

000371940900053

EID of the result in the Scopus database

2-s2.0-84956603577