Changes in air temperature means and interannual variability over Europe in simulations by ALADIN-Climate/CZ: dependence on the size of the integration domain

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F18%3A00464791" target="_blank" >RIV/86652079:_____/18:00464791 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11320/18:10369699

Result on the web

<a href="http://dx.doi.org/10.1007/s00704-016-1962-z" target="_blank" >http://dx.doi.org/10.1007/s00704-016-1962-z</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00704-016-1962-z" target="_blank" >10.1007/s00704-016-1962-z</a>

Result language

angličtina

Original language name

Changes in air temperature means and interannual variability over Europe in simulations by ALADIN-Climate/CZ: dependence on the size of the integration domain

Original language description

This paper presents an evaluation of two simulations by regional climate model (RCM) ALADIN-Climate/CZ with different sizes of integration domain and their driving simulation of global climate model (GCM) ARPÉGE-Climat over central Europe during the period 1961–2010. After a brief evaluation of seasonal means of air temperature characteristics (daily mean, maximum and minimum temperature) and their variability, we focus on the ability of the simulations to represent observed changes in seasonal mean air temperature and its variability. We distinguish between intrinsic and trend-induced variability. Moreover, the dependence on the size of the integration domain and the improvement brought about by the nested RCM compared to the driving GCM are analysed. Both the evaluation of temperature means and variability and the evaluation of their changes confirm that RCM simulation on a larger domain often differs more considerably from driving GCM than simulation on a smaller domain. The larger domain simulation usually produces smaller biases for mean temperature but has worse agreement with observations in terms of variability. Further, the areas with the greatest discrepancies are often in the south-eastern region. In addition, noticeable differences between RCM and GCM simulations mostly emerge for the Alpine region and eastern regions. A possible explanation is the complex terrain and larger distance from domain boundaries. Moreover, it was analysed whether removing of the linear trend enhances the representation of changes in variability. This was not generally confirmed. Only in summer the simulations underestimated the observed increase in intrinsic variability less considerably than for total variability. However, biases were still considerable in many cases.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

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

Name of the periodical

Theoretical and Applied Climatology

ISSN

0177-798X

e-ISSN

—

Volume of the periodical

131

Issue of the periodical within the volume

1-2

Country of publishing house

AT - AUSTRIA

Number of pages

14

Pages from-to

363-376

UT code for WoS article

000419885200027

EID of the result in the Scopus database

2-s2.0-84992751839