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    Inner-Loop Stopping Criteria for Incremental Four-Dimensional Variational Data Assimilation 

    Source: Monthly Weather Review:;2006:;volume( 134 ):;issue: 011:;page 3425
    Author(s): Lawless, A. S.; Nichols, N. K.
    Publisher: American Meteorological Society
    Abstract: Incremental four-dimensional variational data assimilation is a method that solves the assimilation problem by minimizing a sequence of approximate ?inner-loop? functions. In any implementation of such a scheme a decision ...
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    Using Model Reduction Methods within Incremental Four-Dimensional Variational Data Assimilation 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 004:;page 1511
    Author(s): Lawless, A. S.; Nichols, N. K.; Boess, C.; Bunse-Gerstner, A.
    Publisher: American Meteorological Society
    Abstract: Incremental four-dimensional variational data assimilation is the method of choice in many operational atmosphere and ocean data assimilation systems. It allows the four-dimensional variational data assimilation (4DVAR) ...
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    Diagnosing Observation Error Correlations for Doppler Radar Radial Winds in the Met Office UKV Model Using Observation-Minus-Background and Observation-Minus-Analysis Statistics 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 010:;page 3533
    Author(s): Waller, J. A.; Simonin, D.; Dance, S. L.; Nichols, N. K.; Ballard, S. P.
    Publisher: American Meteorological Society
    Abstract: ith the development of convection-permitting numerical weather prediction the efficient use of high-resolution observations in data assimilation is becoming increasingly important. The operational assimilation of these ...
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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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