Analysis of precipitation extremes in an ensemble of transient regional climate model simulations for the Rhine basin

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F11%3A19383" target="_blank" >RIV/60460709:41330/11:19383 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/s00382-010-0822-2" target="_blank" >http://dx.doi.org/10.1007/s00382-010-0822-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00382-010-0822-2" target="_blank" >10.1007/s00382-010-0822-2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of precipitation extremes in an ensemble of transient regional climate model simulations for the Rhine basin

Popis výsledku v původním jazyce

A non-stationary index-flood model was used to analyse the 1-day summer and 5-day winter precipitation maxima in the Rhine basin in an ensemble of 15 transient regional climate model (RCM) simulations. It is assumed that the seasonal precipitation maximafollow a generalized extreme value (GEV) distribution with time varying parameters. The index-flood assumption implies that the dispersion coefficient (the ratio of the scale and the location parameters) and the shape parameter are constant over predefined regions, while the location parameter varies within these regions. A comparison with the estimates from gridded observations shows that these GEV parameters are too large in the summer season, while there is a large overestimation of the location parameter and underestimation of the dispersion coefficient in winter. However, a large part of the biases in the summer season might be due to the low number of stations used for gridding the observations.

Název v anglickém jazyce

Analysis of precipitation extremes in an ensemble of transient regional climate model simulations for the Rhine basin

Popis výsledku anglicky

A non-stationary index-flood model was used to analyse the 1-day summer and 5-day winter precipitation maxima in the Rhine basin in an ensemble of 15 transient regional climate model (RCM) simulations. It is assumed that the seasonal precipitation maximafollow a generalized extreme value (GEV) distribution with time varying parameters. The index-flood assumption implies that the dispersion coefficient (the ratio of the scale and the location parameters) and the shape parameter are constant over predefined regions, while the location parameter varies within these regions. A comparison with the estimates from gridded observations shows that these GEV parameters are too large in the summer season, while there is a large overestimation of the location parameter and underestimation of the dispersion coefficient in winter. However, a large part of the biases in the summer season might be due to the low number of stations used for gridding the observations.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název periodika

Climate Dynamics

ISSN

0930-7575

e-ISSN

—

Svazek periodika

36

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

1135-1153

Kód UT WoS článku

000287924400020

EID výsledku v databázi Scopus

—