Detail publikace

Comparison of precipitation extremes estimation using parametric and nonparametric methods

HOLEŠOVSKÝ, J. FUSEK, M. BLACHUT, V. MICHÁLEK, J.

Originální název

Comparison of precipitation extremes estimation using parametric and nonparametric methods

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Due to recent occurrence 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 6 ombrographic stations operated by the Czech Hydrometeorological Institute were analyzed in order to estimate the intensity-duration-frequency. Although the longest rainfall series consists of more than 40 years of measurements, data set contains also records from newly established stations with only short-time series available. 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, k largest order statistics are considered and the bootstrap methodology is applied as a resampling technique together with the moment estimator of extreme value index.

Klíčová slova

partial duration series; maximum likelihood; probability weighted moments; bootstrap; intensity-duration-frequency curves; moment estimator

Autoři

HOLEŠOVSKÝ, J.; FUSEK, M.; BLACHUT, V.; MICHÁLEK, J.

Vydáno

2. 10. 2016

ISSN

0262-6667

Periodikum

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Ročník

61

Číslo

13

Stát

Spojené království Velké Británie a Severního Irska

Strany od

2376

Strany do

2386

Strany počet

11

URL

http://www.tandfonline.com/doi/full/10.1080/02626667.2015.1111517

BibTex

@article{BUT124860,
  author="Jan {Holešovský} and Michal {Fusek} and Vít {Blachut} and Jaroslav {Michálek}",
  title="Comparison of precipitation extremes estimation using parametric and nonparametric methods",
  journal="HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES",
  year="2016",
  volume="61",
  number="13",
  pages="2376--2386",
  doi="10.1080/02626667.2015.1111517",
  issn="0262-6667",
  url="http://www.tandfonline.com/doi/full/10.1080/02626667.2015.1111517"
}