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    Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network

    Source: Journal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 002::page 889
    Author:
    Rondinelli, Wesley J.
    ,
    Hornbuckle, Brian K.
    ,
    Patton, Jason C.
    ,
    Cosh, Michael H.
    ,
    Walker, Victoria A.
    ,
    Carr, Benjamin D.
    ,
    Logsdon, Sally D.
    DOI: 10.1175/JHM-D-14-0137.1
    Publisher: American Meteorological Society
    Abstract: oil moisture affects the spatial variation of land?atmosphere interactions through its influence on the balance of latent and sensible heat fluxes. Wetter soils are more prone to flooding because a smaller fraction of rainfall can infiltrate into the soil. The Soil Moisture Ocean Salinity (SMOS) satellite carries a remote sensing instrument able to make estimates of near-surface soil moisture on a global scale. One way to validate satellite observations is by comparing them with observations made with sparse networks of in situ soil moisture sensors that match the extent of satellite footprints. The rate of soil drying after significant rainfall observed by SMOS is found to be higher than the rate observed by a U.S. Department of Agriculture (USDA) soil moisture network in the watershed of the South Fork Iowa River. This leads to the conclusion that SMOS and the network observe different layers of the soil: SMOS observes a layer of soil at the soil surface that is a few centimeters thick, while the network observes a deeper soil layer centered at the depth at which the in situ soil moisture sensors are buried. It is also found that SMOS near-surface soil moisture is drier than the South Fork network soil moisture, on average. The conclusion that SMOS and the network observe different layers of the soil, and therefore different soil moisture dynamics, cannot explain the dry bias. However, it can account for some of the root-mean-square error in the relationship. In addition, SMOS observations are noisier than the network observations.
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      Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4225221
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    • Journal of Hydrometeorology

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    contributor authorRondinelli, Wesley J.
    contributor authorHornbuckle, Brian K.
    contributor authorPatton, Jason C.
    contributor authorCosh, Michael H.
    contributor authorWalker, Victoria A.
    contributor authorCarr, Benjamin D.
    contributor authorLogsdon, Sally D.
    date accessioned2017-06-09T17:16:07Z
    date available2017-06-09T17:16:07Z
    date copyright2015/04/01
    date issued2015
    identifier issn1525-755X
    identifier otherams-82140.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4225221
    description abstractoil moisture affects the spatial variation of land?atmosphere interactions through its influence on the balance of latent and sensible heat fluxes. Wetter soils are more prone to flooding because a smaller fraction of rainfall can infiltrate into the soil. The Soil Moisture Ocean Salinity (SMOS) satellite carries a remote sensing instrument able to make estimates of near-surface soil moisture on a global scale. One way to validate satellite observations is by comparing them with observations made with sparse networks of in situ soil moisture sensors that match the extent of satellite footprints. The rate of soil drying after significant rainfall observed by SMOS is found to be higher than the rate observed by a U.S. Department of Agriculture (USDA) soil moisture network in the watershed of the South Fork Iowa River. This leads to the conclusion that SMOS and the network observe different layers of the soil: SMOS observes a layer of soil at the soil surface that is a few centimeters thick, while the network observes a deeper soil layer centered at the depth at which the in situ soil moisture sensors are buried. It is also found that SMOS near-surface soil moisture is drier than the South Fork network soil moisture, on average. The conclusion that SMOS and the network observe different layers of the soil, and therefore different soil moisture dynamics, cannot explain the dry bias. However, it can account for some of the root-mean-square error in the relationship. In addition, SMOS observations are noisier than the network observations.
    publisherAmerican Meteorological Society
    titleDifferent Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network
    typeJournal Paper
    journal volume16
    journal issue2
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-14-0137.1
    journal fristpage889
    journal lastpage903
    treeJournal of Hydrometeorology:;2015:;Volume( 016 ):;issue: 002
    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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