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    Estimating the Impact of Projected Climate Change on Runoff across the Tropical Savannas and Semiarid Rangelands of Northern Australia

    Source: Journal of Hydrometeorology:;2011:;Volume( 013 ):;issue: 002::page 483
    Author:
    Petheram, Cuan
    ,
    Rustomji, Paul
    ,
    McVicar, Tim R.
    ,
    Cai, WenJu
    ,
    Chiew, Francis H. S.
    ,
    Vleeshouwer, Jamie
    ,
    Van Niel, Thomas G.
    ,
    Li, LingTao
    ,
    Cresswell, Richard G.
    ,
    Donohue, Randall J.
    ,
    Teng, Jin
    ,
    Perraud, Jean-Michel
    DOI: 10.1175/JHM-D-11-062.1
    Publisher: American Meteorological Society
    Abstract: he majority of the world?s population growth to 2050 is projected to occur in the tropics. Hence, there is a serious need for robust methods for undertaking water resource assessments to underpin the sustainable management of water in tropical regions. This paper describes the largest and most comprehensive assessment of the future impacts of runoff undertaken in a tropical region using conceptual rainfall?runoff models (RRMs). Five conceptual RRMs were calibrated using data from 115 streamflow gauging stations, and model parameters were regionalized using a combination of spatial proximity and catchment similarity. Future rainfall and evapotranspiration projections (denoted here as GCMES) were transformed to catchment-scale variables by empirically scaling (ES) the historical climate series, informed by 15 global climate models (GCMs), to reflect a 1°C increase in global average surface air temperature. Using the best-performing RRM ensemble, approximately half the GCMES used resulted in a spatially averaged increase in mean annual runoff (by up to 29%) and half resulted in a decrease (by up to 26%). However, ~70% of the GCMES resulted in a difference of within ±5% of the historical rainfall (1930?2007). The range in modeled impact on runoff, as estimated by five RRMs (for individual GCMES), was compared to the range in modeled runoff using 15 GCMES (for individual RRMs). For mid- to high runoff metrics, better predictions will come from improved GCMES projections. A new finding of this study is that in the wet?dry tropics, for extremely large runoff events and low flows, improvements are needed in both GCMES and rainfall?runoff modeling.
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      Estimating the Impact of Projected Climate Change on Runoff across the Tropical Savannas and Semiarid Rangelands of Northern Australia

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4224776
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    contributor authorPetheram, Cuan
    contributor authorRustomji, Paul
    contributor authorMcVicar, Tim R.
    contributor authorCai, WenJu
    contributor authorChiew, Francis H. S.
    contributor authorVleeshouwer, Jamie
    contributor authorVan Niel, Thomas G.
    contributor authorLi, LingTao
    contributor authorCresswell, Richard G.
    contributor authorDonohue, Randall J.
    contributor authorTeng, Jin
    contributor authorPerraud, Jean-Michel
    date accessioned2017-06-09T17:14:42Z
    date available2017-06-09T17:14:42Z
    date copyright2012/04/01
    date issued2011
    identifier issn1525-755X
    identifier otherams-81740.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4224776
    description abstracthe majority of the world?s population growth to 2050 is projected to occur in the tropics. Hence, there is a serious need for robust methods for undertaking water resource assessments to underpin the sustainable management of water in tropical regions. This paper describes the largest and most comprehensive assessment of the future impacts of runoff undertaken in a tropical region using conceptual rainfall?runoff models (RRMs). Five conceptual RRMs were calibrated using data from 115 streamflow gauging stations, and model parameters were regionalized using a combination of spatial proximity and catchment similarity. Future rainfall and evapotranspiration projections (denoted here as GCMES) were transformed to catchment-scale variables by empirically scaling (ES) the historical climate series, informed by 15 global climate models (GCMs), to reflect a 1°C increase in global average surface air temperature. Using the best-performing RRM ensemble, approximately half the GCMES used resulted in a spatially averaged increase in mean annual runoff (by up to 29%) and half resulted in a decrease (by up to 26%). However, ~70% of the GCMES resulted in a difference of within ±5% of the historical rainfall (1930?2007). The range in modeled impact on runoff, as estimated by five RRMs (for individual GCMES), was compared to the range in modeled runoff using 15 GCMES (for individual RRMs). For mid- to high runoff metrics, better predictions will come from improved GCMES projections. A new finding of this study is that in the wet?dry tropics, for extremely large runoff events and low flows, improvements are needed in both GCMES and rainfall?runoff modeling.
    publisherAmerican Meteorological Society
    titleEstimating the Impact of Projected Climate Change on Runoff across the Tropical Savannas and Semiarid Rangelands of Northern Australia
    typeJournal Paper
    journal volume13
    journal issue2
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-11-062.1
    journal fristpage483
    journal lastpage503
    treeJournal of Hydrometeorology:;2011:;Volume( 013 ):;issue: 002
    contenttypeFulltext
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