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

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 009::page 2479
    Author:
    Matrosov, Sergey Y.;Heymsfield, Andrew J.
    DOI: 10.1175/JAMC-D-17-0076.1
    Publisher: American Meteorological Society
    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.
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      Empirical Relations between Size Parameters of Ice Hydrometeor Populations and Radar Reflectivity

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    contributor authorMatrosov, Sergey Y.;Heymsfield, Andrew J.
    date accessioned2018-01-03T11:02:05Z
    date available2018-01-03T11:02:05Z
    date copyright7/17/2017 12:00:00 AM
    date issued2017
    identifier otherjamc-d-17-0076.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246346
    description abstractAbstractEmpirical 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.
    publisherAmerican Meteorological Society
    titleEmpirical Relations between Size Parameters of Ice Hydrometeor Populations and Radar Reflectivity
    typeJournal Paper
    journal volume56
    journal issue9
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-17-0076.1
    journal fristpage2479
    journal lastpage2488
    treeJournal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 009
    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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