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    Source: Monthly Weather Review:;1996:;volume( 124 ):;issue: 004:;page 761
    Author(s): Vukićević, Tomislava; Raeder, Kevin
    Publisher: American Meteorological Society
    Abstract: No abstract available
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    Use of an Adjoint Model for Finding Triggers for Alpine Lee Cyclogenesis 

    Source: Monthly Weather Review:;1995:;volume( 123 ):;issue: 003:;page 800
    Author(s): Vukićević, Tomislava; Raeder, Kevin
    Publisher: American Meteorological Society
    Abstract: The authors propose a new procedure. designated the adjoint-based genesis diagnostic (AGD) procedure, for studying triggering mechanism and the subsequent genesis of the synoptic phenomena of interest. This procedure makes ...
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    Importance of Forecast Error Multivariate Correlations in Idealized Assimilations of GPS Radio Occultation Data with the Ensemble Adjustment Filter 

    Source: Monthly Weather Review:;2007:;volume( 135 ):;issue: 001:;page 173
    Author(s): Liu, Hui; Anderson, Jeffrey L.; Kuo, Ying-Hwa; Raeder, Kevin
    Publisher: American Meteorological Society
    Abstract: The importance of multivariate forecast error correlations between specific humidity, temperature, and surface pressure in perfect model assimilations of Global Positioning System radio occultation (RO) refractivity data ...
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    Singular-Vector Perturbation Growth in a Primitive Equation Model with Moist Physics 

    Source: Journal of the Atmospheric Sciences:;1999:;Volume( 056 ):;issue: 011:;page 1627
    Author(s): Ehrendorfer, Martin; Errico, Ronald M.; Raeder, Kevin D.
    Publisher: American Meteorological Society
    Abstract: Finite-time growth of perturbations in the presence of moist physics (specifically, precipitation) is investigated using singular vectors (SVs) in the context of a primitive equation regional model. Two difficulties appear ...
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    Medium-Range Ensemble Sensitivity Analysis of Two Extreme Pacific Extratropical Cyclones 

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 001:;page 211
    Author(s): Chang, Edmund K. M.; Zheng, Minghua; Raeder, Kevin
    Publisher: American Meteorological Society
    Abstract: n this study, ensemble sensitivity analysis has been applied to examine the evolution of two extreme extratropical cyclones over the Pacific. Sensitivity using, as forecast metrics, forecast cyclone minimum pressure and ...
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    The Data Assimilation Research Testbed: A Community Facility 

    Source: Bulletin of the American Meteorological Society:;2009:;volume( 090 ):;issue: 009:;page 1283
    Author(s): Anderson, Jeffrey; Hoar, Tim; Raeder, Kevin; Liu, Hui; Collins, Nancy; Torn, Ryan; Avellano, Avelino
    Publisher: American Meteorological Society
    Abstract: The Data Assimilation Research Testbed (DART) is an open-source community facility for data assimilation education, research, and development. DART's ensemble data assimilation algorithms, careful software engineering, and ...
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    Scale-Dependent Representation of the Information Content of Observations in the Global Ensemble Kalman Filter Data Assimilation 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 008:;page 2927
    Author(s): Žagar, Nedjeljka; Anderson, Jeffrey; Collins, Nancy; Hoar, Timothy; Raeder, Kevin; Lei, Lili; Tribbia, Joseph
    Publisher: American Meteorological Society
    Abstract: lobal data assimilation systems for numerical weather prediction (NWP) are characterized by significant uncertainties in tropical analysis fields. Furthermore, the largest spread of global ensemble forecasts in the short ...
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    Can Fully Accounting for Clouds in Data Assimilation Improve Short-Term Forecasts by Global Models? 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 003:;page 946
    Author(s): Pincus, Robert; Patrick Hofmann, Robert J.; Anderson, Jeffrey L.; Raeder, Kevin; Collins, Nancy; Whitaker, Jeffrey S.
    Publisher: American Meteorological Society
    Abstract: This paper explores the degree to which short-term forecasts with global models might be improved if clouds were fully included in a data assimilation system, so that observations of clouds affected all parts of the model ...
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    Comparing Adaptive Prior and Posterior Inflation for Ensemble Filters Using an Atmospheric General Circulation Model 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 007:;page 2535
    Author(s): El Gharamti, Mohamad; Raeder, Kevin; Anderson, Jeffrey; Wang, Xuguang
    Publisher: American Meteorological Society
    Abstract: AbstractSampling errors and model errors are major drawbacks from which ensemble Kalman filters suffer. Sampling errors arise because of the use of a limited ensemble size, while model errors are deficiencies in the dynamics ...
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    DART/CAM: An Ensemble Data Assimilation System for CESM Atmospheric Models 

    Source: Journal of Climate:;2012:;volume( 025 ):;issue: 018:;page 6304
    Author(s): Raeder, Kevin; Anderson, Jeffrey L.; Collins, Nancy; Hoar, Timothy J.; Kay, Jennifer E.; Lauritzen, Peter H.; Pincus, Robert
    Publisher: American Meteorological Society
    Abstract: he Community Atmosphere Model (CAM) has been interfaced to the Data Assimilation Research Testbed (DART), a community facility for ensemble data assimilation. This provides a large set of data assimilation tools for climate ...
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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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