• Login
    View Item 
    •   DSpace Home
    • AMS
    • Journal of Applied Meteorology and Climatology
    • View Item
    •   DSpace Home
    • AMS
    • Journal of Applied Meteorology and Climatology
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Empirical Relations between Size Parameters of Ice Hydrometeor Populations and Radar Reflectivity

    Thumbnail
    View/Open
    jamc-d-17-0076.1.pdf (5.811Mb)
    Date
    2017
    Author
    Matrosov, Sergey Y.;Heymsfield, Andrew J.
    Metadata
    Show full item record
    Abstract
    AbstractEmpirical power-law relations between the equivalent radar reflectivity factor Ze and the slope parameter of the gamma function ? (i.e., ? = c; used to describe ice hydrometeor size distributions) are derived. The ? parameter can also be considered as a size parameter since it is proportional to the inverse of the hydrometeor characteristic size, which is an important geophysical parameter describing the entire distribution. Two datasets from two-dimensional microphysical probes, collected during aircraft flights in subtropical and midlatitude regions, were used to obtain ? by fitting measured size distributions. Reflectivity for different radar frequencies was calculated from microphysical probe data by using nonspherical-particle models. The derived relations have exponent d values that are approximately from ?0.35 to ?0.40, and the prefactors c are approximately between 30 and 55 (?: cm?1; Ze: mm6 m?3). There is a tendency for d and c to decrease when radar frequency increases from Ku band (~14 GHz) to W band (~94 GHz). Correlation coefficients between Ze and ? can be very high (~0.8), especially for lower frequencies. Such correlations are similar to those for empirical relations between reflectivity and ice water content (IWC), which are used in many modeling and remote sensing applications. Close correspondences of reflectivity to both ? and IWC are due to a relatively high correlation between these two microphysical parameters. Expected uncertainties in estimating ? from reflectivity could be as high as a factor of 2, although estimates at lower radar frequencies are more robust. Stratifying retrievals by temperature could result in relatively modest improvement of ? estimates.
    URI
    http://138.201.223.254:8080/yetl1/handle/yetl/4246346
    Collections
    • Journal of Applied Meteorology and Climatology

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Statistics

    View Usage Statistics

    DSpace software copyright © 2002-2015  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    @mire NV