Comparison of precipitation extremes estimation using parametric and nonparametric methods

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60162694:G42__/16:00532048 RIV/00216305:26210/16:PU119087

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of precipitation extremes estimation using parametric and nonparametric methods

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Comparison of precipitation extremes estimation using parametric and nonparametric methods

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10503 - Water resources

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

Hydrological Sciences Journal

ISSN

0262-6667

e-ISSN

—

Svazek periodika

61

Číslo periodika v rámci svazku

13

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

2376-2386

Kód UT WoS článku

000383408700006

EID výsledku v databázi Scopus

2-s2.0-84976412936