Comparison of precipitation extremes estimation using parametric and nonparametric methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F16%3A00008837" target="_blank" >RIV/46747885:24510/16:00008837 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/16:00532048 RIV/00216305:26210/16:PU119087
Result on the web
<a href="https://www.tandfonline.com/doi/full/10.1080/02626667.2015.1111517" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/02626667.2015.1111517</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/02626667.2015.1111517" target="_blank" >10.1080/02626667.2015.1111517</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of precipitation extremes estimation using parametric and nonparametric methods
Original language description
Due to recent occurrences of extreme hydrological events in Central Europe, there is an increasing interest in more accurate prediction of return levels of such events. The precipitation records from six ombrographic stations operated by the Czech Hydrometeorological Institute were analysed in order to estimate the intensity-duration-frequency. Although the longest rainfall series consists of more than 40 years of measurements, the data set also contains records from newly established stations with only short-time series available. The impact of the series length on the estimation quality is part of this study. Parametric and nonparametric approaches to drawing samples are assumed. In the first case, we consider a threshold model and we estimate the unknown parameters using maximum likelihood and probability weighted moments methods. In the latter case, largest order statistics are considered and the bootstrap methodology is applied as a resampling technique together with the moment estimator of extreme value index.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - 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
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Hydrological Sciences Journal
ISSN
0262-6667
e-ISSN
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Volume of the periodical
61
Issue of the periodical within the volume
13
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
2376-2386
UT code for WoS article
000383408700006
EID of the result in the Scopus database
2-s2.0-84976412936