Uncertainty in regional climate model outputs over the Czech Republic: the role of nested and driving models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10285301" target="_blank" >RIV/00216208:11320/14:10285301 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1002/joc.3663" target="_blank" >http://dx.doi.org/10.1002/joc.3663</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/joc.3663" target="_blank" >10.1002/joc.3663</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Uncertainty in regional climate model outputs over the Czech Republic: the role of nested and driving models

Popis výsledku v původním jazyce

In this study, we present a comparison of relative influence of the structure of regional climate model (RCM) and its driving global climate model (GCM) on the variance of surface air temperature and precipitation simulated by a multi-model ensemble in the area of the Czech Republic. RCM outputs from the project ENSEMBLES are incorporated and compared to RCM outputs from the project PRUDENCE. We show results for 30-year mean seasonal surface air temperature and precipitation for the reference period (1961-1990) and two future time periods (2021-2050 and 2071-2100), and the changes of these quantities in the future period in comparison to the reference period. We have found that the influence of GCM on the variance of both multi-model ensembles is larger in case of changes of mean seasonal surface air temperature than for the mean values in corresponding time periods. We cannot make any similar general conclusion for precipitation. The results for the ENSEMBLES models are different from

Název v anglickém jazyce

Uncertainty in regional climate model outputs over the Czech Republic: the role of nested and driving models

Popis výsledku anglicky

In this study, we present a comparison of relative influence of the structure of regional climate model (RCM) and its driving global climate model (GCM) on the variance of surface air temperature and precipitation simulated by a multi-model ensemble in the area of the Czech Republic. RCM outputs from the project ENSEMBLES are incorporated and compared to RCM outputs from the project PRUDENCE. We show results for 30-year mean seasonal surface air temperature and precipitation for the reference period (1961-1990) and two future time periods (2021-2050 and 2071-2100), and the changes of these quantities in the future period in comparison to the reference period. We have found that the influence of GCM on the variance of both multi-model ensembles is larger in case of changes of mean seasonal surface air temperature than for the mean values in corresponding time periods. We cannot make any similar general conclusion for precipitation. The results for the ENSEMBLES models are different from

Druh

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

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

<a href="/cs/project/SP%2F1A6%2F108%2F07" target="_blank" >SP/1A6/108/07: Zpřesnění dosavadních odhadů dopadů klimatické změny v sektorech vodního hospodářství, zemědělství a lesnictví a návrhy adaptačních opatření</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

International Journal of Climatology

ISSN

0899-8418

e-ISSN

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Svazek periodika

34

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

27-35

Kód UT WoS článku

000329287800003

EID výsledku v databázi Scopus

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