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    A Numerical Method Based on Leapfrog and a Fourth-Order Implicit Time Filter 

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 007:;page 2545
    Author(s): Moustaoui, Mohamed; Mahalov, Alex; Kostelich, Eric J.
    Publisher: American Meteorological Society
    Abstract: time-stepping scheme is proposed. It is based on the leapfrog method and a fourth-order time filter. The scheme requires only one evaluation per time step and uses an implicit filter, but the effort needed to implement it ...
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    Semi-Implicit Computation of Fast Modes in a Scheme Integrating Slow Modes by a Leapfrog Method Based on a Selective Implicit Time Filter 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 012:;page 3133
    Author(s): Moustaoui, Mohamed; Barclay, Bryce M.; Kostelich, Eric J.
    Publisher: American Meteorological Society
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    Univariate and Multivariate Assimilation of AIRS Humidity Retrievals with the Local Ensemble Transform Kalman Filter 

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 011:;page 3918
    Author(s): Liu, Junjie; Li, Hong; Kalnay, Eugenia; Kostelich, Eric J.; Szunyogh, Istvan
    Publisher: American Meteorological Society
    Abstract: This study uses the local ensemble transform Kalman filter to assimilate Atmospheric Infrared Sounder (AIRS) specific humidity retrievals with pseudo relative humidity (pseudo-RH) as the observation variable. Three approaches ...
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    Evaluation of a Strategy for the Assimilation of Satellite Radiance Observations with the Local Ensemble Transform Kalman Filter 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 006:;page 1932
    Author(s): Aravéquia, José A.; Szunyogh, Istvan; Fertig, Elana J.; Kalnay, Eugenia; Kuhl, David; Kostelich, Eric J.
    Publisher: American Meteorological Society
    Abstract: his paper evaluates a strategy for the assimilation of satellite radiance observations with the local ensemble transform Kalman filter (LETKF) data assimilation scheme. The assimilation strategy includes a mechanism to ...
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    A Simulation Study Using a Local Ensemble Transform Kalman Filter for Data Assimilation in New York Harbor 

    Source: Journal of Atmospheric and Oceanic Technology:;2008:;volume( 025 ):;issue: 009:;page 1638
    Author(s): Hoffman, Ross N.; Ponte, Rui M.; Kostelich, Eric J.; Blumberg, Alan; Szunyogh, Istvan; Vinogradov, Sergey V.; Henderson, John M.
    Publisher: American Meteorological Society
    Abstract: Data assimilation approaches that use ensembles to approximate a Kalman filter have many potential advantages for oceanographic applications. To explore the extent to which this holds, the Estuarine and Coastal Ocean Model ...
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    Assessing Predictability with a Local Ensemble Kalman Filter 

    Source: Journal of the Atmospheric Sciences:;2007:;Volume( 064 ):;issue: 004:;page 1116
    Author(s): Kuhl, David; Szunyogh, Istvan; Kostelich, Eric J.; Gyarmati, Gyorgyi; Patil, D. J.; Oczkowski, Michael; Hunt, Brian R.; Kalnay, Eugenia; Ott, Edward; Yorke, James A.
    Publisher: American Meteorological Society
    Abstract: In this paper, the spatiotemporally changing nature of predictability is studied in a reduced-resolution version of the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS), a state-of-the-art ...
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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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