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Global Change & Ecosystems

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    0470796 - ÚVGZ 2017 RIV CZ eng M - Monography Chapter
    Štěpánek, Petr - Zahradníček, Pavel - Farda, Aleš - Skalák, Petr - Trnka, Miroslav - Meitner, Jan - Rajdl, Kamil
    Climate projections for the Czech Republic based on Euro-CORDEX simulations.
    Global Change & Ecosystems. Volume 2. Brno: Ústav výzkumu globální změny AV ČR, v. v.i., 2016 - (Vačkář, D.; Janouš, D.), s. 38-48. ISBN 978-80-87902-17-2
    R&D Projects: GA MŠMT(CZ) LO1415
    Institutional support: RVO:67179843
    Keywords : Euro-CORDEX simulations * model bias correction * climate change * impact studies for the Czech Republic
    Subject RIV: DG - Athmosphere Sciences, Meteorology

    Within the finished CzechAdapt project (www.czechadapt.cz), projections based on the latest climate
    model simulations were analyzed and a material was prepared to provide input to and support for adaptation
    strategies in various fields (e.g. forestry, agriculture, hydrology). Both GCMs (global climate models)
    and RCMs (regional climate models) were analyzed within the project. In this contribution we focus on the
    latest RCMs available from the Euro-CORDEX project based on 0.11 degree resolutions and covering the
    European area. For these model experiments, the following greenhouse gas emission scenarios have been
    used: RCP 4.5 (milder scenario) and RCP 8.5 (pessimistic scenario). Since the climate models suffer from
    potentially severe biases, it has been necessary to statistically correct their outputs. For this purpose, a suitable
    reference dataset has been prepared, based on quality controlled, homogenized and gap-filled station
    time series. The correction method applied was based on variable corrections using individual percentiles.
    From the corrected model outputs, various indices were calculated, describing the future climate both in
    time and space. The outputs can serve as a basis for subsequent impact studies.
    Permanent Link: http://hdl.handle.net/11104/0268349

     
     
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