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    Potential of Higher-Order Moments and Slopes of the Radar Doppler Spectrum for Retrieving Microphysical and Kinematic Properties of Arctic Ice Clouds

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 056 ):;issue: 002::page 263
    Author:
    Maahn, Maximilian
    ,
    Löhnert, Ulrich
    DOI: 10.1175/JAMC-D-16-0020.1
    Publisher: American Meteorological Society
    Abstract: etrievals of ice-cloud properties from cloud-radar observations are challenging because the retrieval methods are typically underdetermined. Here, the authors investigate whether additional information can be obtained from higher-order moments and the slopes of the radar Doppler spectrum such as skewness and kurtosis as well as the slopes of the Doppler peak. To estimate quantitatively the additional information content, a generalized Bayesian retrieval framework that is based on optimal estimation is developed. Real and synthetic cloud-radar observations of the Indirect and Semi-Direct Aerosol Campaign (ISDAC) dataset obtained around Barrow, Alaska, are used in this study. The state vector consists of the microphysical (particle-size distribution, mass?size relation, and cross section?area relation) and kinematic (vertical wind and turbulence) quantities required to forward model the moments and slopes of the radar Doppler spectrum. It is found that, for a single radar frequency, more information can be retrieved when including higher-order moments and slopes than when using only reflectivity and mean Doppler velocity but two radar frequencies. When using all moments and slopes with two or even three frequencies, the uncertainties of all state variables, including the mass?size relation, can be considerably reduced with respect to the prior knowledge.
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      Potential of Higher-Order Moments and Slopes of the Radar Doppler Spectrum for Retrieving Microphysical and Kinematic Properties of Arctic Ice Clouds

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4217647
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    contributor authorMaahn, Maximilian
    contributor authorLöhnert, Ulrich
    date accessioned2017-06-09T16:51:14Z
    date available2017-06-09T16:51:14Z
    date copyright2017/02/01
    date issued2016
    identifier issn1558-8424
    identifier otherams-75323.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217647
    description abstractetrievals of ice-cloud properties from cloud-radar observations are challenging because the retrieval methods are typically underdetermined. Here, the authors investigate whether additional information can be obtained from higher-order moments and the slopes of the radar Doppler spectrum such as skewness and kurtosis as well as the slopes of the Doppler peak. To estimate quantitatively the additional information content, a generalized Bayesian retrieval framework that is based on optimal estimation is developed. Real and synthetic cloud-radar observations of the Indirect and Semi-Direct Aerosol Campaign (ISDAC) dataset obtained around Barrow, Alaska, are used in this study. The state vector consists of the microphysical (particle-size distribution, mass?size relation, and cross section?area relation) and kinematic (vertical wind and turbulence) quantities required to forward model the moments and slopes of the radar Doppler spectrum. It is found that, for a single radar frequency, more information can be retrieved when including higher-order moments and slopes than when using only reflectivity and mean Doppler velocity but two radar frequencies. When using all moments and slopes with two or even three frequencies, the uncertainties of all state variables, including the mass?size relation, can be considerably reduced with respect to the prior knowledge.
    publisherAmerican Meteorological Society
    titlePotential of Higher-Order Moments and Slopes of the Radar Doppler Spectrum for Retrieving Microphysical and Kinematic Properties of Arctic Ice Clouds
    typeJournal Paper
    journal volume56
    journal issue2
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-16-0020.1
    journal fristpage263
    journal lastpage282
    treeJournal of Applied Meteorology and Climatology:;2016:;volume( 056 ):;issue: 002
    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
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