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    The Application of a Multi-Level Spectral Model to Data Assimilation

    Source: Journal of the Atmospheric Sciences:;1978:;Volume( 035 ):;issue: 008::page 1321
    Author:
    Simmonds, Ian
    DOI: 10.1175/1520-0469(1978)035<1321:TAOAML>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: The techniques developed and tested by Simmonds (1976) for inserting grid-point data into a barotropic spectral model have been extended to the multi-level case. Theoretical and numerical analyses suggest that such a model can provide a good data assimilation vehicle if inertia gravity waves are adequately suppressed. Efficient mechanisms in the present model involve the application of divergence diffusion, a time filter and a modest amount of vorticity diffusion. Two high-resolution versions of this model were constructed, the first containing all the physical processes usually included in general circulation models, the second being the same but for the omission of moist and radiative processes. Data assimilations were undertaken with these two models to determine the necessity of including the physical processes. In the upper levels and at the surface the latter model was found to produce better analyses in the one 6-day assimilation carried out. Forecasts initialized from these analyses supported the view that the assimilation without physics produced a more accurate representation of the atmosphere. The experiments show that, at the very least, the tested spectral model is an adequate data assimilator.
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      The Application of a Multi-Level Spectral Model to Data Assimilation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4153425
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    contributor authorSimmonds, Ian
    date accessioned2017-06-09T14:20:15Z
    date available2017-06-09T14:20:15Z
    date copyright1978/08/01
    date issued1978
    identifier issn0022-4928
    identifier otherams-17521.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4153425
    description abstractThe techniques developed and tested by Simmonds (1976) for inserting grid-point data into a barotropic spectral model have been extended to the multi-level case. Theoretical and numerical analyses suggest that such a model can provide a good data assimilation vehicle if inertia gravity waves are adequately suppressed. Efficient mechanisms in the present model involve the application of divergence diffusion, a time filter and a modest amount of vorticity diffusion. Two high-resolution versions of this model were constructed, the first containing all the physical processes usually included in general circulation models, the second being the same but for the omission of moist and radiative processes. Data assimilations were undertaken with these two models to determine the necessity of including the physical processes. In the upper levels and at the surface the latter model was found to produce better analyses in the one 6-day assimilation carried out. Forecasts initialized from these analyses supported the view that the assimilation without physics produced a more accurate representation of the atmosphere. The experiments show that, at the very least, the tested spectral model is an adequate data assimilator.
    publisherAmerican Meteorological Society
    titleThe Application of a Multi-Level Spectral Model to Data Assimilation
    typeJournal Paper
    journal volume35
    journal issue8
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(1978)035<1321:TAOAML>2.0.CO;2
    journal fristpage1321
    journal lastpage1339
    treeJournal of the Atmospheric Sciences:;1978:;Volume( 035 ):;issue: 008
    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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