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    Evaluation of Downscaled CMIP5 Coupled with VIC Model for Flash Drought Simulation in a Humid Subtropical Basin, China

    Source: Journal of Climate:;2017:;volume 031:;issue 003::page 1075
    Author:
    Zhang, Yuqing
    ,
    You, Qinglong
    ,
    Chen, Changchun
    ,
    Ge, Jing
    ,
    Adnan, Muhammad
    DOI: 10.1175/JCLI-D-17-0378.1
    Publisher: American Meteorological Society
    Abstract: AbstractCompared to traditional drought events, flash droughts evolve rapidly during short-term extreme atmospheric conditions, with a lasting period of one pentad to several weeks. There are two main categories of flash droughts: the heat wave flash drought (HWFD), which is mainly caused by persistent high temperatures (heat waves), and the precipitation deficit flash drought (PDFD), which is mainly triggered by precipitation deficits. The authors? previous research focused on the characteristics and causes of flash drought based on meteorological observations and Variable Infiltration Capacity (VIC) model simulations in a humid subtropical basin (Gan River basin, China). In this study, the authors evaluated the downscaled phase 5 of the Coupled Model Intercomparison Project (CMIP5) models? simulations, coupled with the VIC model (CMIP5?VIC) in reproducing flash droughts in a humid subtropical basin in China. Most downscaled CMIP5?VIC simulations can reproduce the spatial patterns of flash droughts with respect to the benchmarks. The coupled models fail to readily replicate interannual variation (interannual pentad change), but most models can reflect the interannual variability (temporal standard deviation) and long-term average pentads of flash droughts. It is difficult to simultaneously depict both the spatial and temporal features of flash droughts within only one coupled model. The climatological patterns of the best multimodel ensemble mean are close to those of the all-model ensemble mean, but the best multimodel ensemble mean has a minimal bias range and relatively low computational burden.
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      Evaluation of Downscaled CMIP5 Coupled with VIC Model for Flash Drought Simulation in a Humid Subtropical Basin, China

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4262123
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    contributor authorZhang, Yuqing
    contributor authorYou, Qinglong
    contributor authorChen, Changchun
    contributor authorGe, Jing
    contributor authorAdnan, Muhammad
    date accessioned2019-09-19T10:09:09Z
    date available2019-09-19T10:09:09Z
    date copyright11/21/2017 12:00:00 AM
    date issued2017
    identifier otherjcli-d-17-0378.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262123
    description abstractAbstractCompared to traditional drought events, flash droughts evolve rapidly during short-term extreme atmospheric conditions, with a lasting period of one pentad to several weeks. There are two main categories of flash droughts: the heat wave flash drought (HWFD), which is mainly caused by persistent high temperatures (heat waves), and the precipitation deficit flash drought (PDFD), which is mainly triggered by precipitation deficits. The authors? previous research focused on the characteristics and causes of flash drought based on meteorological observations and Variable Infiltration Capacity (VIC) model simulations in a humid subtropical basin (Gan River basin, China). In this study, the authors evaluated the downscaled phase 5 of the Coupled Model Intercomparison Project (CMIP5) models? simulations, coupled with the VIC model (CMIP5?VIC) in reproducing flash droughts in a humid subtropical basin in China. Most downscaled CMIP5?VIC simulations can reproduce the spatial patterns of flash droughts with respect to the benchmarks. The coupled models fail to readily replicate interannual variation (interannual pentad change), but most models can reflect the interannual variability (temporal standard deviation) and long-term average pentads of flash droughts. It is difficult to simultaneously depict both the spatial and temporal features of flash droughts within only one coupled model. The climatological patterns of the best multimodel ensemble mean are close to those of the all-model ensemble mean, but the best multimodel ensemble mean has a minimal bias range and relatively low computational burden.
    publisherAmerican Meteorological Society
    titleEvaluation of Downscaled CMIP5 Coupled with VIC Model for Flash Drought Simulation in a Humid Subtropical Basin, China
    typeJournal Paper
    journal volume31
    journal issue3
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-17-0378.1
    journal fristpage1075
    journal lastpage1090
    treeJournal of Climate:;2017:;volume 031:;issue 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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