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    Quantifying Cloud-Induced Shortwave Absorption: An Examination of Uncertainties and of Recent Arguments for Large Excess Absorption

    Source: Journal of Applied Meteorology:;1996:;volume( 035 ):;issue: 011::page 1991
    Author:
    Imre, D. G.
    ,
    Abramson, E. H.
    ,
    Daum, P. H.
    DOI: 10.1175/1520-0450(1996)035<1991:QCISAA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The quantification of cloud-induced shortwave atmospheric absorption is a painstaking task and often the subject of contention. Several analytical methods previously used for this purpose are examined in detail applying each method to a set of collocated satellite and surface measurements of radiant fluxes taken in April of 1994 in Oklahoma. It is demonstrated that, if care is not taken, conclusions regarding cloud-induced absorption can be as much a function of the chosen analytical methods as they are of the data themselves. It is argued that the best method for determining the cloud radiative forcing ratio is from the slope of a plot of the cloud radiative forcing ratio at the surface versus the cloud radiative forcing at the top of the atmosphere and/or a normalized analog. Application of this method shows that clouds in Oklahoma, on average, induced an absorption of 4% more of the solar insulation than did clear sky. An examination is made of three recent papers that have reported cloud-induced atmospheric absorption in large excess over that which has been generally considered possible. It is shown that, once uncertainties and biases in the analytical methods are considered, the results of all three papers are consistent with conventional formulations of cloud-radiation interactions.
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      Quantifying Cloud-Induced Shortwave Absorption: An Examination of Uncertainties and of Recent Arguments for Large Excess Absorption

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4147753
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    • Journal of Applied Meteorology

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    contributor authorImre, D. G.
    contributor authorAbramson, E. H.
    contributor authorDaum, P. H.
    date accessioned2017-06-09T14:06:05Z
    date available2017-06-09T14:06:05Z
    date copyright1996/11/01
    date issued1996
    identifier issn0894-8763
    identifier otherams-12416.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4147753
    description abstractThe quantification of cloud-induced shortwave atmospheric absorption is a painstaking task and often the subject of contention. Several analytical methods previously used for this purpose are examined in detail applying each method to a set of collocated satellite and surface measurements of radiant fluxes taken in April of 1994 in Oklahoma. It is demonstrated that, if care is not taken, conclusions regarding cloud-induced absorption can be as much a function of the chosen analytical methods as they are of the data themselves. It is argued that the best method for determining the cloud radiative forcing ratio is from the slope of a plot of the cloud radiative forcing ratio at the surface versus the cloud radiative forcing at the top of the atmosphere and/or a normalized analog. Application of this method shows that clouds in Oklahoma, on average, induced an absorption of 4% more of the solar insulation than did clear sky. An examination is made of three recent papers that have reported cloud-induced atmospheric absorption in large excess over that which has been generally considered possible. It is shown that, once uncertainties and biases in the analytical methods are considered, the results of all three papers are consistent with conventional formulations of cloud-radiation interactions.
    publisherAmerican Meteorological Society
    titleQuantifying Cloud-Induced Shortwave Absorption: An Examination of Uncertainties and of Recent Arguments for Large Excess Absorption
    typeJournal Paper
    journal volume35
    journal issue11
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1996)035<1991:QCISAA>2.0.CO;2
    journal fristpage1991
    journal lastpage2010
    treeJournal of Applied Meteorology:;1996:;volume( 035 ):;issue: 011
    contenttypeFulltext
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