YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Relationships between Doppler Spectral Moments within Large-Scale Cirro- and Altostratus Cloud Fields Observed by a Ground-Based 95-GHz Cloud Radar

    Source: Journal of Applied Meteorology:;1999:;volume( 038 ):;issue: 002::page 175
    Author:
    Danne, O.
    ,
    Quante, M.
    ,
    Milferstädt, D.
    ,
    Lemke, H.
    ,
    Raschke, E.
    DOI: 10.1175/1520-0450(1999)038<0175:RBDSMW>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: In this study, data obtained from measurements with a ground-based vertical-pointing 95-GHz polarimetric cloud radar are analyzed. The investigations concentrate on the relationships between the Doppler spectral moments observed in different regions of nonprecipitating cirrostratus and altostratus decks connected with warm fronts approaching the radar site. In some of these cases, a remarkably well-defined relationship between the radar reflectivity and the spectral width is found. It is demonstrated how this relationship can be used to obtain information on the size distributions and the fallspeeds of the particles in the investigated cloud sections. It is found that if single parameters of the size distributions, for example, are parameterized by a lognormal distribution, they cannot be determined with an acceptable accuracy. However, at least the changes of these parameters, such as mean particle diameter and particle concentration, with changing reflectivity as well as the behavior of the corresponding particle fallspeeds, can be described with the help of empirical relations between the Doppler moments. A main result is that significant changes in reflectivity within a cloud section (e.g., of 10 dBZe) must correspond with a change in the relation between particle size and fallspeed, most commonly described by empirical power laws, and, therefore, probably with changes in particle shapes. This kind of radar data analysis will help to come to a better understanding of the microphysical and dynamical properties of the investigated cloud types, especially if further information from simultaneous measurements with other remote sensors is available.
    • Download: (728.7Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Relationships between Doppler Spectral Moments within Large-Scale Cirro- and Altostratus Cloud Fields Observed by a Ground-Based 95-GHz Cloud Radar

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4148042
    Collections
    • Journal of Applied Meteorology

    Show full item record

    contributor authorDanne, O.
    contributor authorQuante, M.
    contributor authorMilferstädt, D.
    contributor authorLemke, H.
    contributor authorRaschke, E.
    date accessioned2017-06-09T14:06:50Z
    date available2017-06-09T14:06:50Z
    date copyright1999/02/01
    date issued1999
    identifier issn0894-8763
    identifier otherams-12677.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4148042
    description abstractIn this study, data obtained from measurements with a ground-based vertical-pointing 95-GHz polarimetric cloud radar are analyzed. The investigations concentrate on the relationships between the Doppler spectral moments observed in different regions of nonprecipitating cirrostratus and altostratus decks connected with warm fronts approaching the radar site. In some of these cases, a remarkably well-defined relationship between the radar reflectivity and the spectral width is found. It is demonstrated how this relationship can be used to obtain information on the size distributions and the fallspeeds of the particles in the investigated cloud sections. It is found that if single parameters of the size distributions, for example, are parameterized by a lognormal distribution, they cannot be determined with an acceptable accuracy. However, at least the changes of these parameters, such as mean particle diameter and particle concentration, with changing reflectivity as well as the behavior of the corresponding particle fallspeeds, can be described with the help of empirical relations between the Doppler moments. A main result is that significant changes in reflectivity within a cloud section (e.g., of 10 dBZe) must correspond with a change in the relation between particle size and fallspeed, most commonly described by empirical power laws, and, therefore, probably with changes in particle shapes. This kind of radar data analysis will help to come to a better understanding of the microphysical and dynamical properties of the investigated cloud types, especially if further information from simultaneous measurements with other remote sensors is available.
    publisherAmerican Meteorological Society
    titleRelationships between Doppler Spectral Moments within Large-Scale Cirro- and Altostratus Cloud Fields Observed by a Ground-Based 95-GHz Cloud Radar
    typeJournal Paper
    journal volume38
    journal issue2
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1999)038<0175:RBDSMW>2.0.CO;2
    journal fristpage175
    journal lastpage189
    treeJournal of Applied Meteorology:;1999:;volume( 038 ):;issue: 002
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian