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    A Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics

    Source: Journal of Hydrometeorology:;2019:;volume 020:;issue 008::page 1721
    Author:
    Wang, Aihui
    ,
    Shi, Xueli
    DOI: 10.1175/JHM-D-19-0035.1
    Publisher: American Meteorological Society
    Abstract: AbstractBased on the gravimetric-technique-measured soil relative wetness and the observed soil characteristic parameters from 1992 to 2013 in China, this study derives a user-convenient monthly volumetric soil moisture (SM) dataset from 732 stations for five soil layers (10, 20, 50, 70, and 100 cm). The temporal?spatial variations in SM and its relationship with precipitation (Pr) in different subregions are then explored. The magnitude of SM is relatively large in south China and is low in northwest China, and it generally increases with soil depth in each region. The maximum SM appears in spring and/or autumn and the minimum in summer, and the SM seasonality does not vary as distinctly as that of Pr. For the top three soil layers (10-, 20-, and 50-cm levels), the linear trend analysis indicates an overall increasing SM tendency, and the mean trends (averaged across stations with trends passing a 95% significance level test) are 9.35 ? 10?7, 7.37 ? 10?3, and 2.45 ? 10?3 cm3 cm?3 yr?1, respectively. SM memory depends on the soil depth and regions, and it has longer retention time in the deeper layers. Furthermore, the correlation between SM and antecedent Pr varies with soil depth and lag time. The antecedent Pr anomaly (1 or 2 months in advance) can be used to some extent as a surrogate SM anomaly in most regions except for in arid regions. This result is further demonstrated by the relationships between the SM anomaly and the standardized precipitation index. The current SM dataset can be used in various applications, such as validating satellite-retrieved products and model outputs.
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      A Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4263900
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    • Journal of Hydrometeorology

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    contributor authorWang, Aihui
    contributor authorShi, Xueli
    date accessioned2019-10-05T06:56:29Z
    date available2019-10-05T06:56:29Z
    date copyright6/28/2019 12:00:00 AM
    date issued2019
    identifier otherJHM-D-19-0035.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263900
    description abstractAbstractBased on the gravimetric-technique-measured soil relative wetness and the observed soil characteristic parameters from 1992 to 2013 in China, this study derives a user-convenient monthly volumetric soil moisture (SM) dataset from 732 stations for five soil layers (10, 20, 50, 70, and 100 cm). The temporal?spatial variations in SM and its relationship with precipitation (Pr) in different subregions are then explored. The magnitude of SM is relatively large in south China and is low in northwest China, and it generally increases with soil depth in each region. The maximum SM appears in spring and/or autumn and the minimum in summer, and the SM seasonality does not vary as distinctly as that of Pr. For the top three soil layers (10-, 20-, and 50-cm levels), the linear trend analysis indicates an overall increasing SM tendency, and the mean trends (averaged across stations with trends passing a 95% significance level test) are 9.35 ? 10?7, 7.37 ? 10?3, and 2.45 ? 10?3 cm3 cm?3 yr?1, respectively. SM memory depends on the soil depth and regions, and it has longer retention time in the deeper layers. Furthermore, the correlation between SM and antecedent Pr varies with soil depth and lag time. The antecedent Pr anomaly (1 or 2 months in advance) can be used to some extent as a surrogate SM anomaly in most regions except for in arid regions. This result is further demonstrated by the relationships between the SM anomaly and the standardized precipitation index. The current SM dataset can be used in various applications, such as validating satellite-retrieved products and model outputs.
    publisherAmerican Meteorological Society
    titleA Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics
    typeJournal Paper
    journal volume20
    journal issue8
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-19-0035.1
    journal fristpage1721
    journal lastpage1736
    treeJournal of Hydrometeorology:;2019:;volume 020:;issue 008
    contenttypeFulltext
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