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    Analysis of the Global Microwave Polarization Data of Clouds

    Source: Journal of Climate:;2018:;volume 032:;issue 001::page 3
    Author:
    Zeng, Xiping
    ,
    Skofronick-Jackson, Gail
    ,
    Tian, Lin
    ,
    Emory, Amber E.
    ,
    Olson, William S.
    ,
    Kroodsma, Rachael A.
    DOI: 10.1175/JCLI-D-18-0293.1
    Publisher: American Meteorological Society
    Abstract: Information about the characteristics of ice particles in clouds is necessary for improving our understanding of the states, processes, and subsequent modeling of clouds and precipitation for numerical weather prediction and climate analysis. Two NASA passive microwave radiometers, the satellite-borne Global Precipitation Measurement (GPM) Microwave Imager (GMI) and the aircraft-borne Conical Scanning Millimeter-Wave Imaging Radiometer (CoSMIR), measure vertically and horizontally polarized microwaves emitted by clouds (including precipitating particles) and Earth?s surface below. In this paper, GMI (or CoSMIR) data are analyzed with CloudSat (or aircraft-borne radar) data to find polarized difference (PD) signals not affected by the surface, thereby obtaining the information on ice particles. Statistical analysis of 4 years of GMI and CloudSat data, for the first time, reveals that optically thick clouds contribute positively to GMI PD at 166 GHz over all the latitudes and their positive magnitude of 166-GHz GMI PD varies little with latitude. This result suggests that horizontally oriented ice crystals in thick clouds are common from the tropics to high latitudes, which contrasts the result of Cloud?Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) that horizontally oriented ice crystals are rare in optically thin ice clouds.
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      Analysis of the Global Microwave Polarization Data of Clouds

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    contributor authorZeng, Xiping
    contributor authorSkofronick-Jackson, Gail
    contributor authorTian, Lin
    contributor authorEmory, Amber E.
    contributor authorOlson, William S.
    contributor authorKroodsma, Rachael A.
    date accessioned2019-09-22T09:04:33Z
    date available2019-09-22T09:04:33Z
    date copyright10/22/2018 12:00:00 AM
    date issued2018
    identifier otherJCLI-D-18-0293.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262781
    description abstractInformation about the characteristics of ice particles in clouds is necessary for improving our understanding of the states, processes, and subsequent modeling of clouds and precipitation for numerical weather prediction and climate analysis. Two NASA passive microwave radiometers, the satellite-borne Global Precipitation Measurement (GPM) Microwave Imager (GMI) and the aircraft-borne Conical Scanning Millimeter-Wave Imaging Radiometer (CoSMIR), measure vertically and horizontally polarized microwaves emitted by clouds (including precipitating particles) and Earth?s surface below. In this paper, GMI (or CoSMIR) data are analyzed with CloudSat (or aircraft-borne radar) data to find polarized difference (PD) signals not affected by the surface, thereby obtaining the information on ice particles. Statistical analysis of 4 years of GMI and CloudSat data, for the first time, reveals that optically thick clouds contribute positively to GMI PD at 166 GHz over all the latitudes and their positive magnitude of 166-GHz GMI PD varies little with latitude. This result suggests that horizontally oriented ice crystals in thick clouds are common from the tropics to high latitudes, which contrasts the result of Cloud?Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) that horizontally oriented ice crystals are rare in optically thin ice clouds.
    publisherAmerican Meteorological Society
    titleAnalysis of the Global Microwave Polarization Data of Clouds
    typeJournal Paper
    journal volume32
    journal issue1
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-18-0293.1
    journal fristpage3
    journal lastpage13
    treeJournal of Climate:;2018:;volume 032:;issue 001
    contenttypeFulltext
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