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    Commonly Used Drought Indices as Indicators of Soil Moisture in China

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 003::page 1397
    Author:
    Wang, Hongshuo
    ,
    Rogers, Jeffrey C.
    ,
    Munroe, Darla K.
    DOI: 10.1175/JHM-D-14-0076.1
    Publisher: American Meteorological Society
    Abstract: oil moisture shortages adversely affecting agriculture are significantly associated with meteorological drought. Because of limited soil moisture observations with which to monitor agricultural drought, characterizing soil moisture using drought indices is of great significance. The relationship between commonly used drought indices and soil moisture is examined here using Chinese surface weather data and calculated station-based drought indices. Outside of northeastern China, surface soil moisture is more affected by drought indices having shorter time scales while deep-layer soil moisture is more related on longer index time scales. Multiscalar drought indices work better than drought indices from two-layer bucket models. The standardized precipitation evapotranspiration index (SPEI) works similarly or better than the standardized precipitation index (SPI) in characterizing soil moisture at different soil layers. In most stations in China, the Z index has a higher correlation with soil moisture at 0?5 cm than the Palmer drought severity index (PDSI), which in turn has a higher correlation with soil moisture at 90?100-cm depth than the Z index. Soil bulk density and soil organic carbon density are the two main soil properties affecting the spatial variations of the soil moisture?drought indices relationship. The study may facilitate agriculture drought monitoring with commonly used drought indices calculated from weather station data.
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      Commonly Used Drought Indices as Indicators of Soil Moisture in China

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225174
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    contributor authorWang, Hongshuo
    contributor authorRogers, Jeffrey C.
    contributor authorMunroe, Darla K.
    date accessioned2017-06-09T17:15:59Z
    date available2017-06-09T17:15:59Z
    date copyright2015/06/01
    date issued2015
    identifier issn1525-755X
    identifier otherams-82098.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225174
    description abstractoil moisture shortages adversely affecting agriculture are significantly associated with meteorological drought. Because of limited soil moisture observations with which to monitor agricultural drought, characterizing soil moisture using drought indices is of great significance. The relationship between commonly used drought indices and soil moisture is examined here using Chinese surface weather data and calculated station-based drought indices. Outside of northeastern China, surface soil moisture is more affected by drought indices having shorter time scales while deep-layer soil moisture is more related on longer index time scales. Multiscalar drought indices work better than drought indices from two-layer bucket models. The standardized precipitation evapotranspiration index (SPEI) works similarly or better than the standardized precipitation index (SPI) in characterizing soil moisture at different soil layers. In most stations in China, the Z index has a higher correlation with soil moisture at 0?5 cm than the Palmer drought severity index (PDSI), which in turn has a higher correlation with soil moisture at 90?100-cm depth than the Z index. Soil bulk density and soil organic carbon density are the two main soil properties affecting the spatial variations of the soil moisture?drought indices relationship. The study may facilitate agriculture drought monitoring with commonly used drought indices calculated from weather station data.
    publisherAmerican Meteorological Society
    titleCommonly Used Drought Indices as Indicators of Soil Moisture in China
    typeJournal Paper
    journal volume16
    journal issue3
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-14-0076.1
    journal fristpage1397
    journal lastpage1408
    treeJournal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 003
    contenttypeFulltext
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