Evaluation of daily temperatures in Central Europe and their links to large-scale circulation in an ensemble of regional climate models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F11%3A00368094" target="_blank" >RIV/68378289:_____/11:00368094 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11320/11:10110123

Výsledek na webu

<a href="http://www.tellusa.net/index.php/tellusa/article/view/15844/17734" target="_blank" >http://www.tellusa.net/index.php/tellusa/article/view/15844/17734</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/j.1600-0870.2011.00514.x" target="_blank" >10.1111/j.1600-0870.2011.00514.x</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of daily temperatures in Central Europe and their links to large-scale circulation in an ensemble of regional climate models

Popis výsledku v původním jazyce

Reproduction of daily maximum and minimum temperatures, including tails of their distributions and links to large-scale circulation, is evaluated in an ensemble of high-resolution regional climate model (RCM) simulations over the Czech Republic. RCM datafor recent climate (1961?1990) are validated against observed data gridded from a high-density station network. We find large biases in mean monthly temperatures and in seasonal extremes, which are significant in most RCMs throughout the year. The results suggest that an RCM's formulation plays a much more important role in summer, whereas in winter RCM performance is closely linked to the driving GCM. Biases are usually larger for extremes than central parts of temperature distributions, and RCMs tendto underestimate the severity of extremes in both seasons.

Název v anglickém jazyce

Evaluation of daily temperatures in Central Europe and their links to large-scale circulation in an ensemble of regional climate models

Popis výsledku anglicky

Reproduction of daily maximum and minimum temperatures, including tails of their distributions and links to large-scale circulation, is evaluated in an ensemble of high-resolution regional climate model (RCM) simulations over the Czech Republic. RCM datafor recent climate (1961?1990) are validated against observed data gridded from a high-density station network. We find large biases in mean monthly temperatures and in seasonal extremes, which are significant in most RCMs throughout the year. The results suggest that an RCM's formulation plays a much more important role in summer, whereas in winter RCM performance is closely linked to the driving GCM. Biases are usually larger for extremes than central parts of temperature distributions, and RCMs tendto underestimate the severity of extremes in both seasons.

Druh

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

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

—

Projekt

<a href="/cs/project/GAP209%2F10%2F2265" target="_blank" >GAP209/10/2265: Reprodukce vztahů mezi atmosférickou cirkulací a rozděleními přízemní teploty vzduchu a srážek v klimatických modelech</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název periodika

Tellus Series A-Dynamic Meteorology and Oceanography

ISSN

0280-6495

e-ISSN

—

Svazek periodika

63A

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

763-781

Kód UT WoS článku

000292864500009

EID výsledku v databázi Scopus

—