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    Estimation of Incident Photosynthetically Active Radiation from GOES Visible Imagery

    Source: Journal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;issue: 003::page 853
    Author:
    Zheng, Tao
    ,
    Liang, Shunlin
    ,
    Wang, Kaicun
    DOI: 10.1175/2007JAMC1475.1
    Publisher: American Meteorological Society
    Abstract: Incident photosynthetically active radiation (PAR) is an important parameter for terrestrial ecosystem models. Because of its high temporal resolution, the Geostationary Operational Environmental Satellite (GOES) observations are very suited to catch the diurnal variation of PAR. In this paper, a new method is developed to derive PAR using GOES data. What makes this new method distinct from the existing method is that it does not need external knowledge of atmospheric conditions. The new method retrieves both atmospheric and surface conditions using only at-sensor radiance through interpolation of time series of observations. Validations against ground measurement are carried out at four ?FLUXNET? sites. The values of RMSE of estimated and ground-measured instantaneous PAR at the four sites are 130.71, 131.44, 141.16, and 190.22 ?mol m?2 s?1, respectively. At the four validation sites, the RMSE as the percentage of estimated mean PAR value are 9.52%, 13.01%, 13.92%, and 24.09%, respectively; the biases are ?101.54, 16.56, 11.09, and 53.64 ?mol m?2 s?1, respectively. The independence of external atmospheric information enables this method to be applicable to many situations in which external atmospheric information is not available. In addition, topographic impacts on surface PAR are examined at the 1-km resolution at which PAR is retrieved using the GOES visible band data.
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      Estimation of Incident Photosynthetically Active Radiation from GOES Visible Imagery

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    contributor authorZheng, Tao
    contributor authorLiang, Shunlin
    contributor authorWang, Kaicun
    date accessioned2017-06-09T16:18:01Z
    date available2017-06-09T16:18:01Z
    date copyright2008/03/01
    date issued2008
    identifier issn1558-8424
    identifier otherams-65286.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206494
    description abstractIncident photosynthetically active radiation (PAR) is an important parameter for terrestrial ecosystem models. Because of its high temporal resolution, the Geostationary Operational Environmental Satellite (GOES) observations are very suited to catch the diurnal variation of PAR. In this paper, a new method is developed to derive PAR using GOES data. What makes this new method distinct from the existing method is that it does not need external knowledge of atmospheric conditions. The new method retrieves both atmospheric and surface conditions using only at-sensor radiance through interpolation of time series of observations. Validations against ground measurement are carried out at four ?FLUXNET? sites. The values of RMSE of estimated and ground-measured instantaneous PAR at the four sites are 130.71, 131.44, 141.16, and 190.22 ?mol m?2 s?1, respectively. At the four validation sites, the RMSE as the percentage of estimated mean PAR value are 9.52%, 13.01%, 13.92%, and 24.09%, respectively; the biases are ?101.54, 16.56, 11.09, and 53.64 ?mol m?2 s?1, respectively. The independence of external atmospheric information enables this method to be applicable to many situations in which external atmospheric information is not available. In addition, topographic impacts on surface PAR are examined at the 1-km resolution at which PAR is retrieved using the GOES visible band data.
    publisherAmerican Meteorological Society
    titleEstimation of Incident Photosynthetically Active Radiation from GOES Visible Imagery
    typeJournal Paper
    journal volume47
    journal issue3
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2007JAMC1475.1
    journal fristpage853
    journal lastpage868
    treeJournal of Applied Meteorology and Climatology:;2008:;volume( 047 ):;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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