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    A Comparison of MODIS-Derived Cloud Fraction with Surface Observations at Five SURFRAD Sites

    Source: Journal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;issue: 005::page 1009
    Author:
    An, Ning
    ,
    Wang, Kaicun
    DOI: 10.1175/JAMC-D-14-0206.1
    Publisher: American Meteorological Society
    Abstract: louds determine the amount of solar radiation incident to the surface. Accurately quantifying cloud fraction is of great importance but is difficult to accomplish. Satellite and surface cloud observations have different fields of view (FOVs); the lack of conformity of different FOVs may cause large discrepancies when comparing satellite- and surface-derived cloud fractions. From the viewpoint of surface-incident solar radiation, this paper compares Moderate Resolution Imaging Spectroradiometer (MODIS) level-2 cloud-fraction data with three surface cloud-fraction datasets at five Surface Radiation Network (SURFRAD) sites. The correlation coefficients between MODIS and the surface cloud fractions are in the 0.80?0.91 range and vary at different SURFRAD sites. In a number of cases, MODIS observations show a large cloud-fraction bias when compared with surface data. The variances between MODIS and the surface cloud-fraction datasets are more apparent when small convective or broken clouds exist in the FOVs. The magnitude of the discrepancy between MODIS and surface-derived cloud fractions depends on the satellite?s view zenith angle (VZA). On average, relative to surface cloud-fraction data, MODIS observes a larger cloud fraction at VZA > 40° and a smaller cloud fraction at VZA < 20°. When comparing long-term MODIS averages with surface datasets, Aqua MODIS observes a higher annual mean cloud fraction, likely because convective clouds are better developed in the afternoon when Aqua is observing.
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      A Comparison of MODIS-Derived Cloud Fraction with Surface Observations at Five SURFRAD Sites

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    contributor authorAn, Ning
    contributor authorWang, Kaicun
    date accessioned2017-06-09T16:50:33Z
    date available2017-06-09T16:50:33Z
    date copyright2015/05/01
    date issued2015
    identifier issn1558-8424
    identifier otherams-75117.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217418
    description abstractlouds determine the amount of solar radiation incident to the surface. Accurately quantifying cloud fraction is of great importance but is difficult to accomplish. Satellite and surface cloud observations have different fields of view (FOVs); the lack of conformity of different FOVs may cause large discrepancies when comparing satellite- and surface-derived cloud fractions. From the viewpoint of surface-incident solar radiation, this paper compares Moderate Resolution Imaging Spectroradiometer (MODIS) level-2 cloud-fraction data with three surface cloud-fraction datasets at five Surface Radiation Network (SURFRAD) sites. The correlation coefficients between MODIS and the surface cloud fractions are in the 0.80?0.91 range and vary at different SURFRAD sites. In a number of cases, MODIS observations show a large cloud-fraction bias when compared with surface data. The variances between MODIS and the surface cloud-fraction datasets are more apparent when small convective or broken clouds exist in the FOVs. The magnitude of the discrepancy between MODIS and surface-derived cloud fractions depends on the satellite?s view zenith angle (VZA). On average, relative to surface cloud-fraction data, MODIS observes a larger cloud fraction at VZA > 40° and a smaller cloud fraction at VZA < 20°. When comparing long-term MODIS averages with surface datasets, Aqua MODIS observes a higher annual mean cloud fraction, likely because convective clouds are better developed in the afternoon when Aqua is observing.
    publisherAmerican Meteorological Society
    titleA Comparison of MODIS-Derived Cloud Fraction with Surface Observations at Five SURFRAD Sites
    typeJournal Paper
    journal volume54
    journal issue5
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-14-0206.1
    journal fristpage1009
    journal lastpage1020
    treeJournal of Applied Meteorology and Climatology:;2015:;volume( 054 ):;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
    yabeshDSpacePersian