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    A Revised Cloud Overlap Scheme for Fast Microwave Radiative Transfer in Rain and Cloud

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 011::page 2257
    Author:
    Geer, Alan J.
    ,
    Bauer, Peter
    ,
    O’Dell, Christopher W.
    DOI: 10.1175/2009JAMC2170.1
    Publisher: American Meteorological Society
    Abstract: The assimilation of cloud- and precipitation-affected observations into weather forecasting systems requires very fast calculations of radiative transfer in the presence of multiple scattering. At the European Centre for Medium-Range Weather Forecasts (ECMWF), performance limitations mean that only a single cloudy calculation (including any precipitation) can be made, and the simulated radiance is a weighted combination of cloudy- and clear-sky radiances. Originally, the weight given to the cloudy part was the maximum cloud fraction in the atmospheric profile. However, this weighting was excessive, and because of nonlinear radiative transfer (the ?beamfilling effect?) there were biases in areas of cloud and precipitation. A new approach instead uses the profile average cloud fraction, and decreases RMS errors by 40% in areas of rain or heavy clouds when ?truth? comes from multiple independent column simulations. There is improvement all the way from low (e.g., 19 GHz) to high (e.g., 183 GHz) microwave frequencies. There is also improvement when truth comes from microwave imager observations. One minor problem is that biases increase slightly in mid- and upper-tropospheric sounding channels in light-cloud situations, which shows that future improvements will require the cloud fraction to vary according to the optical properties at different frequencies.
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      A Revised Cloud Overlap Scheme for Fast Microwave Radiative Transfer in Rain and Cloud

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4209868
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    • Journal of Applied Meteorology and Climatology

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    contributor authorGeer, Alan J.
    contributor authorBauer, Peter
    contributor authorO’Dell, Christopher W.
    date accessioned2017-06-09T16:27:51Z
    date available2017-06-09T16:27:51Z
    date copyright2009/11/01
    date issued2009
    identifier issn1558-8424
    identifier otherams-68322.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4209868
    description abstractThe assimilation of cloud- and precipitation-affected observations into weather forecasting systems requires very fast calculations of radiative transfer in the presence of multiple scattering. At the European Centre for Medium-Range Weather Forecasts (ECMWF), performance limitations mean that only a single cloudy calculation (including any precipitation) can be made, and the simulated radiance is a weighted combination of cloudy- and clear-sky radiances. Originally, the weight given to the cloudy part was the maximum cloud fraction in the atmospheric profile. However, this weighting was excessive, and because of nonlinear radiative transfer (the ?beamfilling effect?) there were biases in areas of cloud and precipitation. A new approach instead uses the profile average cloud fraction, and decreases RMS errors by 40% in areas of rain or heavy clouds when ?truth? comes from multiple independent column simulations. There is improvement all the way from low (e.g., 19 GHz) to high (e.g., 183 GHz) microwave frequencies. There is also improvement when truth comes from microwave imager observations. One minor problem is that biases increase slightly in mid- and upper-tropospheric sounding channels in light-cloud situations, which shows that future improvements will require the cloud fraction to vary according to the optical properties at different frequencies.
    publisherAmerican Meteorological Society
    titleA Revised Cloud Overlap Scheme for Fast Microwave Radiative Transfer in Rain and Cloud
    typeJournal Paper
    journal volume48
    journal issue11
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/2009JAMC2170.1
    journal fristpage2257
    journal lastpage2270
    treeJournal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 011
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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