Počet záznamů: 1  

Development of the Representative Climate Change Scenarios for Czechia

  1. 1.
    SYSNO ASEP0508565
    Druh ASEPA - Abstrakt
    Zařazení RIVZáznam nebyl označen do RIV
    Zařazení RIVNení vybrán druh dokumentu
    NázevDevelopment of the Representative Climate Change Scenarios for Czechia
    Tvůrce(i) Dubrovský, Martin (UFA-U) RID, ORCID
    Skalák, P. (CZ)
    Štěpánek, P. (CZ)
    Meitner, J. (CZ)
    Lhotka, Ondřej (UFA-U) RID, ORCID
    Trnka, M. (CZ)
    Zahradníček, P. (CZ)
    Celkový počet autorů7
    Zdroj.dok.EMS Annual Meeting Abstracts, Vol. 16. - Berlin : European Meteorological Society, 2019
    Poč.str.1 s.
    Forma vydáníOnline - E
    AkceEMS Annual Meeting 2019
    Datum konání09.09.2019 - 13.09.2019
    Místo konáníCopenhagen
    ZeměDK - Dánsko
    Typ akceWRD
    Jazyk dok.eng - angličtina
    Země vyd.DE - Německo
    Klíč. slovaclimate change ; regional climate model ; climate change scenarios
    Vědní obor RIVDG - Vědy o atmosféře, meteorologie
    Obor OECDClimatic research
    Institucionální podporaUFA-U - RVO:68378289
    AnotaceFor use in climate change (CC) impact studies, one (or both) of the two datasets are commonly employed: (a)
    an ensemble of GCM simulations available from the CMIP5 dataset, and (b) an ensemble of RCM simulations
    available from the CORDEX dataset. In both cases, questions may arise, how to deal with a large number of
    available simulations: Should we use all simulations or only some of them? Should we assign weights to the
    models? If it is not possible (or we simply do not want) to use all available simulations, how to choose a limited
    representative subset of models? This contribution is a report on our effort in preparing CC scenarios for use in
    Czech CC adaptation studies made within the frame of SustES project. Both CMIP5 and CORDEX datasets have
    been considerd in preparing our CC scenarios. The contribution consists of two parts.
    In the first part, we present a moethodology, which is used to choose a representative subset of GCMs
    from all available GCMs. The methodology is a modification of the methodology developed by Dubrovsky et al
    (2015, Climatic Change). In selecting a subset, following criterions were taken into account: (1) availability of
    both monthly and daily time series of following suface weather variables: temperature (daily averages, minima and
    maxima), precipitation, solar radiation, humidity and wind speed. (2) Quality of the GCM simulations represented
    by partial skill scores quatifying the GCMs’ performance in reproducing annual cycle and spatial distribution of
    temperature and precipitation including their links to a larger-scale atmospheric circulation. (3) Ability of the
    subset to represent the mean and inter-model variability of CC scenarios in the whole GCM ensemble. (4) The
    fact, whether the given GCM was or was not involved in the CORDEX simulations. While accounting for all
    these criterions, the whole process leading to creating the final subset emerged as a mixture of objective (based on
    quantitative indicators) and subjectiove decisions.
    In the second part, the CC scenarios derived from the GCMs (both the complete set and representative
    subset) will be presented and compared with CC scenarios derived from the RCMs; the development of the
    RCM-based CC scenarios is discussed in a separate contribution (Skalak et al., poster no. EMS2019-646).
    PracovištěÚstav fyziky atmosféry
    KontaktKateřina Adamovičová, adamovicova@ufa.cas.cz, Tel.: 272 016 012 ; Kateřina Potužníková, kaca@ufa.cas.cz, Tel.: 272 016 019
    Rok sběru2020
Počet záznamů: 1  

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