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    Interannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in China

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 005::page 831
    Author:
    Jia, Binghao
    ,
    Liu, Jianguo
    ,
    Xie, Zhenghui
    ,
    Shi, Chunxiang
    DOI: 10.1175/JHM-D-18-0003.1
    Publisher: American Meteorological Society
    Abstract: AbstractIn this study, a microwave-based multisatellite merged product released from the European Space Agency?s Climate Change Initiative (ESA CCI) and two model-based simulations from the Community Land Model 4.5 (CLM4.5) and Global Land Data Assimilation System (GLDAS) were used to investigate interannual variations and trends of soil moisture in China between 1979 and 2010. They were also evaluated using in situ observations from the nationwide agrometeorological network. These three datasets show consistent drying trends for surface soil moisture in northeastern and central China, as well the eastern portion of Inner Mongolia, and wetting trends in the Tibetan Plateau, which are also identified by in situ observations. Trends in the root-zone soil moisture are in line with those of surface soil moisture seen in the CLM4.5 and GLDAS simulations obtained from most areas in China (78%?88%), except for northwestern China and southwest of the Tibetan Plateau. Moreover, the drying trend intensifies with increasing soil depth. Taking the in situ measurements as reference, it is found that ESA CCI has better accuracy in identifying the significant drying trends while CLM4.5 and GLDAS capture wetting trends better. Compared to temperature, precipitation is the primary factor responsible for these trends, which controls the direction of soil moisture changes, while increasing temperatures can also enhance soil drying during periods of decreased precipitation.
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      Interannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in China

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4260820
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    contributor authorJia, Binghao
    contributor authorLiu, Jianguo
    contributor authorXie, Zhenghui
    contributor authorShi, Chunxiang
    date accessioned2019-09-19T10:02:08Z
    date available2019-09-19T10:02:08Z
    date copyright4/24/2018 12:00:00 AM
    date issued2018
    identifier otherjhm-d-18-0003.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260820
    description abstractAbstractIn this study, a microwave-based multisatellite merged product released from the European Space Agency?s Climate Change Initiative (ESA CCI) and two model-based simulations from the Community Land Model 4.5 (CLM4.5) and Global Land Data Assimilation System (GLDAS) were used to investigate interannual variations and trends of soil moisture in China between 1979 and 2010. They were also evaluated using in situ observations from the nationwide agrometeorological network. These three datasets show consistent drying trends for surface soil moisture in northeastern and central China, as well the eastern portion of Inner Mongolia, and wetting trends in the Tibetan Plateau, which are also identified by in situ observations. Trends in the root-zone soil moisture are in line with those of surface soil moisture seen in the CLM4.5 and GLDAS simulations obtained from most areas in China (78%?88%), except for northwestern China and southwest of the Tibetan Plateau. Moreover, the drying trend intensifies with increasing soil depth. Taking the in situ measurements as reference, it is found that ESA CCI has better accuracy in identifying the significant drying trends while CLM4.5 and GLDAS capture wetting trends better. Compared to temperature, precipitation is the primary factor responsible for these trends, which controls the direction of soil moisture changes, while increasing temperatures can also enhance soil drying during periods of decreased precipitation.
    publisherAmerican Meteorological Society
    titleInterannual Variations and Trends in Remotely Sensed and Modeled Soil Moisture in China
    typeJournal Paper
    journal volume19
    journal issue5
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-18-0003.1
    journal fristpage831
    journal lastpage847
    treeJournal of Hydrometeorology:;2018:;volume 019:;issue 005
    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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