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    Accuracy of Rotational and Divergent Kinetic Energy Spectra Diagnosed from Flight-Track Winds

    Source: Journal of the Atmospheric Sciences:;2016:;Volume( 073 ):;issue: 008::page 3273
    Author:
    Bierdel, Lotte
    ,
    Snyder, Chris
    ,
    Park, Sang-Hun
    ,
    Skamarock, William C.
    DOI: 10.1175/JAS-D-16-0040.1
    Publisher: American Meteorological Society
    Abstract: nder assumptions of horizontal homogeneity and isotropy, one may derive relations between rotational or divergent kinetic energy spectra and velocities along one-dimensional tracks, such as might be measured by aircraft. Two recent studies, differing in details of their implementation, have applied these relations to the Measurement of Ozone and Water Vapor by Airbus In-Service Aircraft (MOZAIC) dataset and reached different conclusions with regard to the mesoscale ratio of divergent to rotational kinetic energy. In this study the accuracy of the method is assessed using global atmospheric simulations performed with the Model for Prediction Across Scales, where the exact decomposition of the horizontal winds into divergent and rotational components may be easily computed. For data from the global simulations, the two approaches yield similar and very accurate results. Errors are largest for the divergent component on synoptic scales, which is shown to be related to a very dominant rotational mode. The errors are, in particular, sufficiently small so that the mesoscale ratio of divergent to rotational kinetic energy can be derived correctly. The proposed technique thus provides a strong observational check of model results with existing large commercial aircraft datasets. The results do, however, show a significant dependence on the height and latitude ranges considered, and the disparate conclusions drawn from previous applications to MOZAIC data may result from the use of different subsets of the data.
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      Accuracy of Rotational and Divergent Kinetic Energy Spectra Diagnosed from Flight-Track Winds

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    contributor authorBierdel, Lotte
    contributor authorSnyder, Chris
    contributor authorPark, Sang-Hun
    contributor authorSkamarock, William C.
    date accessioned2017-06-09T16:59:32Z
    date available2017-06-09T16:59:32Z
    date copyright2016/08/01
    date issued2016
    identifier issn0022-4928
    identifier otherams-77556.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4220127
    description abstractnder assumptions of horizontal homogeneity and isotropy, one may derive relations between rotational or divergent kinetic energy spectra and velocities along one-dimensional tracks, such as might be measured by aircraft. Two recent studies, differing in details of their implementation, have applied these relations to the Measurement of Ozone and Water Vapor by Airbus In-Service Aircraft (MOZAIC) dataset and reached different conclusions with regard to the mesoscale ratio of divergent to rotational kinetic energy. In this study the accuracy of the method is assessed using global atmospheric simulations performed with the Model for Prediction Across Scales, where the exact decomposition of the horizontal winds into divergent and rotational components may be easily computed. For data from the global simulations, the two approaches yield similar and very accurate results. Errors are largest for the divergent component on synoptic scales, which is shown to be related to a very dominant rotational mode. The errors are, in particular, sufficiently small so that the mesoscale ratio of divergent to rotational kinetic energy can be derived correctly. The proposed technique thus provides a strong observational check of model results with existing large commercial aircraft datasets. The results do, however, show a significant dependence on the height and latitude ranges considered, and the disparate conclusions drawn from previous applications to MOZAIC data may result from the use of different subsets of the data.
    publisherAmerican Meteorological Society
    titleAccuracy of Rotational and Divergent Kinetic Energy Spectra Diagnosed from Flight-Track Winds
    typeJournal Paper
    journal volume73
    journal issue8
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-16-0040.1
    journal fristpage3273
    journal lastpage3286
    treeJournal of the Atmospheric Sciences:;2016:;Volume( 073 ):;issue: 008
    contenttypeFulltext
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