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    Characteristics of the NOAA/NESDIS Cloud Retrieval Algorithm Using HIRS-MSU Radiance Measurements

    Source: Journal of Applied Meteorology:;1996:;volume( 035 ):;issue: 011::page 1980
    Author:
    Yang, Shi-Keng
    ,
    Zhou, Si-Song
    ,
    Mcmillin, Larry M.
    ,
    Campana, Ken A.
    DOI: 10.1175/1520-0450(1996)035<1980:COTNCR>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A cloud retrieval algorithm using NOAA/National Environmental Satellite, Data and Information Service High-Resolution Infrared Radiation Sounder 2 Microwave Sounding Unit measurements from a polar-orbiting satellite, described in McMillin et al., uses multiple channel pairs with a two-pass procedure for enhancing accuracies. The current paper complements McMillin et al. in several ways. First, it describes the characteristics of the channel pairs used in the algorithm while documenting the logic of the channel selection. It shows that the cloud-top heights and cloud fractions are dependent on the sensing channel pairs. The higher the altitude of the weighting function, the smaller the cloud fractions. Second, it adds an atmospheric attenuation correction and displays its effect on cloud-top heights. Without the attenuation correction, the cloud-top distributions are separated into two bands, possibly as a result of the distance between the heights of the weighting functions of the sensing channel pair. The attenuation correction effectively eliminates the gap, both by lowering the upper band and by elevating the lower band. The cloud fractions from this experimental operation are compared with Air Force Real-Time Nephanalysis for 3 months, and they reveal its strength in detecting low-level stratus.
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      Characteristics of the NOAA/NESDIS Cloud Retrieval Algorithm Using HIRS-MSU Radiance Measurements

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4147752
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    contributor authorYang, Shi-Keng
    contributor authorZhou, Si-Song
    contributor authorMcmillin, Larry M.
    contributor authorCampana, Ken A.
    date accessioned2017-06-09T14:06:05Z
    date available2017-06-09T14:06:05Z
    date copyright1996/11/01
    date issued1996
    identifier issn0894-8763
    identifier otherams-12415.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4147752
    description abstractA cloud retrieval algorithm using NOAA/National Environmental Satellite, Data and Information Service High-Resolution Infrared Radiation Sounder 2 Microwave Sounding Unit measurements from a polar-orbiting satellite, described in McMillin et al., uses multiple channel pairs with a two-pass procedure for enhancing accuracies. The current paper complements McMillin et al. in several ways. First, it describes the characteristics of the channel pairs used in the algorithm while documenting the logic of the channel selection. It shows that the cloud-top heights and cloud fractions are dependent on the sensing channel pairs. The higher the altitude of the weighting function, the smaller the cloud fractions. Second, it adds an atmospheric attenuation correction and displays its effect on cloud-top heights. Without the attenuation correction, the cloud-top distributions are separated into two bands, possibly as a result of the distance between the heights of the weighting functions of the sensing channel pair. The attenuation correction effectively eliminates the gap, both by lowering the upper band and by elevating the lower band. The cloud fractions from this experimental operation are compared with Air Force Real-Time Nephanalysis for 3 months, and they reveal its strength in detecting low-level stratus.
    publisherAmerican Meteorological Society
    titleCharacteristics of the NOAA/NESDIS Cloud Retrieval Algorithm Using HIRS-MSU Radiance Measurements
    typeJournal Paper
    journal volume35
    journal issue11
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1996)035<1980:COTNCR>2.0.CO;2
    journal fristpage1980
    journal lastpage1990
    treeJournal of Applied Meteorology:;1996:;volume( 035 ):;issue: 011
    contenttypeFulltext
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