- Köppen–Geiger climate classification by different regional climate mo…
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Köppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century

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    SYSNO ASEP0447210
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleKöppen–Geiger climate classification by different regional climate models according to the SRES A1B scenario in the 21st century
    Author(s) Szabó-Takács, Beáta (UEK-B) RID, SAI, ORCID
    Farda, Aleš (UEK-B) RID, SAI, ORCID
    Zahradníček, Pavel (UEK-B) RID, SAI
    Štěpánek, Petr (UEK-B) RID, SAI, ORCID
    Source TitleGlobal Change: A Complex Challenge : Conference Proceedings. - Brno : Global Change Research Centre, The Czech Academy of Sciences, v. v. i., 2015 / Urban Otmar ; Šprtová Mirka ; Klem Karel - ISBN 978-80-87902-10-3
    Pagess. 18-21
    Number of pages4 s.
    Publication formPrint - P
    ActionGlobal Change: A Complex Challenge /4th/
    Event date23.03.2015-24.03.2015
    VEvent locationBrno
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsclimate models ; climate classification ; 21st century
    Subject RIVEH - Ecology, Behaviour
    R&D ProjectsEE2.3.20.0248 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportRVO:67179843 - RVO:67179843
    UT WOS000381161600003
    AnnotationWe investigate future climate conditions projected by six regional climate model (RCM) simulations driven by the SRES A1B emission scenario. As a diagnostic tool of climate change, we used the Köppen–Geiger climate classification as it is suitable for assessing climate change impacts on ecosystems. The analysis is based on a comparison of Köppen–Geiger climate subtypes during two future time slices (2021–2050 and 2070– 2100) with climate subtypes observed during 1961–2000. All RCMs showed expansion of the area covered by warmer climate types in the future, but the magnitude of the growth varied among RCMs. The differences stemmed from several sources, mainly boundary forcing provided by the driving global circulation models (GCMs) as well as different physical packages, resolution, and natural variability representation in individual GCMs. In general, RCMs driven by the ECHAM5-r3 GCM projected cooler climate conditions than did RCMs driven by the ARPÈGE GCM. This can be explained by two factors related to ECHAM5-r3: i) exaggerated transport of cool and moist air from the North Atlantic to Europe in summer, and ii) winter advection of cold air from the Artic owing to North Atlantic Oscillation blocking pattern alteration during solar minima as well as higher natural variability. RCM-related properties, such as physical package and spatial resolution, may also significantly affect climate predictions, although they do so to a smaller extent than does the driving GCM data.
    WorkplaceGlobal Change Research Institute
    ContactNikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268
    Year of Publishing2016
Number of the records: 1  

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