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    Understanding the Uncertainty of the Lim River Basin Response to Changing Climate

    Source: Journal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 009
    Author:
    Milan Stojkovic
    ,
    Slobodan P. Simonovic
    DOI: 10.1061/(ASCE)HE.1943-5584.0001964
    Publisher: ASCE
    Abstract: This study addresses how uncertainty propagates within climate models, statistical postprocessing tools, and the hydrological model, while taking into account the observed forcing and response of the hydrological system. Propagation of uncertainty is assessed using three regional climate models (RCMs), four bias correction methods (BCMs), two averaging methods, three representative concentration pathway (RCPs) scenarios, and a single hydrological model. The hydrological simulations are performed for the baseline period 1971–2000, and for the future time period 2006–2055. The Lim River basin in Serbia (southeast Europe) is selected as the study region. The dominant sources of uncertainty are the bias correction methods (9.7%–16.1%), whereas uncertainty from the choice of regional climate models is generally smaller (7.4%–13.9%). The results from the hydrological simulations for the future time period suggest relatively moderate annual changes in streamflows, from −6.3% to +12.5% under the RCP2.6, RCP4.5, and RCP8.5. The most significant changes are expected at the seasonal level, especially for the winter flows ranging from +27.1% to +35.7%.
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      Understanding the Uncertainty of the Lim River Basin Response to Changing Climate

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4266799
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    contributor authorMilan Stojkovic
    contributor authorSlobodan P. Simonovic
    date accessioned2022-01-30T20:36:10Z
    date available2022-01-30T20:36:10Z
    date issued9/1/2020 12:00:00 AM
    identifier other%28ASCE%29HE.1943-5584.0001964.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266799
    description abstractThis study addresses how uncertainty propagates within climate models, statistical postprocessing tools, and the hydrological model, while taking into account the observed forcing and response of the hydrological system. Propagation of uncertainty is assessed using three regional climate models (RCMs), four bias correction methods (BCMs), two averaging methods, three representative concentration pathway (RCPs) scenarios, and a single hydrological model. The hydrological simulations are performed for the baseline period 1971–2000, and for the future time period 2006–2055. The Lim River basin in Serbia (southeast Europe) is selected as the study region. The dominant sources of uncertainty are the bias correction methods (9.7%–16.1%), whereas uncertainty from the choice of regional climate models is generally smaller (7.4%–13.9%). The results from the hydrological simulations for the future time period suggest relatively moderate annual changes in streamflows, from −6.3% to +12.5% under the RCP2.6, RCP4.5, and RCP8.5. The most significant changes are expected at the seasonal level, especially for the winter flows ranging from +27.1% to +35.7%.
    publisherASCE
    titleUnderstanding the Uncertainty of the Lim River Basin Response to Changing Climate
    typeJournal Paper
    journal volume25
    journal issue9
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001964
    page18
    treeJournal of Hydrologic Engineering:;2020:;Volume ( 025 ):;issue: 009
    contenttypeFulltext
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