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    High-Resolution Climate Change Impact Analysis on Medium-Sized River Catchments in Germany: An Ensemble Assessment

    Source: Journal of Hydrometeorology:;2013:;Volume( 014 ):;issue: 004::page 1175
    Author:
    Ott, Irena
    ,
    Duethmann, Doris
    ,
    Liebert, Joachim
    ,
    Berg, Peter
    ,
    Feldmann, Hendrik
    ,
    Ihringer, Juergen
    ,
    Kunstmann, Harald
    ,
    Merz, Bruno
    ,
    Schaedler, Gerd
    ,
    Wagner, Sven
    DOI: 10.1175/JHM-D-12-091.1
    Publisher: American Meteorological Society
    Abstract: he impact of climate change on three small- to medium-sized river catchments (Ammer, Mulde, and Ruhr) in Germany is investigated for the near future (2021?50) following the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A1B scenario. A 10-member ensemble of hydrological model (HM) simulations, based on two high-resolution regional climate models (RCMs) driven by two global climate models (GCMs), with three realizations of ECHAM5 (E5) and one realization of the Canadian Centre for Climate Modelling and Analysis version 3 (CCCma3; C3) is established. All GCM simulations are downscaled by the RCM Community Land Model (CLM), and one realization of E5 is downscaled also with the RCM Weather Research and Forecasting Model (WRF). This concerted 7-km, high-resolution RCM ensemble provides a sound basis for runoff simulations of small catchments and is currently unique for Germany. The hydrology for each catchment is simulated in an overlapping scheme, with two of the three HMs used in the project. The resulting ensemble hence contains for each chain link (GCM?realization?RCM?HM) at least two members and allows the investigation of qualitative and limited quantitative indications of the existence and uncertainty range of the change signal. The ensemble spread in the climate change signal is large and varies with catchment and season, and the results show that most of the uncertainty of the change signal arises from the natural variability in winter and from the RCMs in summer.
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      High-Resolution Climate Change Impact Analysis on Medium-Sized River Catchments in Germany: An Ensemble Assessment

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4224954
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    • Journal of Hydrometeorology

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    contributor authorOtt, Irena
    contributor authorDuethmann, Doris
    contributor authorLiebert, Joachim
    contributor authorBerg, Peter
    contributor authorFeldmann, Hendrik
    contributor authorIhringer, Juergen
    contributor authorKunstmann, Harald
    contributor authorMerz, Bruno
    contributor authorSchaedler, Gerd
    contributor authorWagner, Sven
    date accessioned2017-06-09T17:15:16Z
    date available2017-06-09T17:15:16Z
    date copyright2013/08/01
    date issued2013
    identifier issn1525-755X
    identifier otherams-81901.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224954
    description abstracthe impact of climate change on three small- to medium-sized river catchments (Ammer, Mulde, and Ruhr) in Germany is investigated for the near future (2021?50) following the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A1B scenario. A 10-member ensemble of hydrological model (HM) simulations, based on two high-resolution regional climate models (RCMs) driven by two global climate models (GCMs), with three realizations of ECHAM5 (E5) and one realization of the Canadian Centre for Climate Modelling and Analysis version 3 (CCCma3; C3) is established. All GCM simulations are downscaled by the RCM Community Land Model (CLM), and one realization of E5 is downscaled also with the RCM Weather Research and Forecasting Model (WRF). This concerted 7-km, high-resolution RCM ensemble provides a sound basis for runoff simulations of small catchments and is currently unique for Germany. The hydrology for each catchment is simulated in an overlapping scheme, with two of the three HMs used in the project. The resulting ensemble hence contains for each chain link (GCM?realization?RCM?HM) at least two members and allows the investigation of qualitative and limited quantitative indications of the existence and uncertainty range of the change signal. The ensemble spread in the climate change signal is large and varies with catchment and season, and the results show that most of the uncertainty of the change signal arises from the natural variability in winter and from the RCMs in summer.
    publisherAmerican Meteorological Society
    titleHigh-Resolution Climate Change Impact Analysis on Medium-Sized River Catchments in Germany: An Ensemble Assessment
    typeJournal Paper
    journal volume14
    journal issue4
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-12-091.1
    journal fristpage1175
    journal lastpage1193
    treeJournal of Hydrometeorology:;2013:;Volume( 014 ):;issue: 004
    contenttypeFulltext
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