Publication detail

Comparison of precipitation extremes estimation using parametric and nonparametric methods

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

Original Title

Comparison of precipitation extremes estimation using parametric and nonparametric methods

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

2. 10. 2016

ISBN

0262-6667

Periodical

HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Year of study

61

Number

13

State

United Kingdom of Great Britain and Northern Ireland

Pages from

2376

Pages to

2386

Pages count

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"
}