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    Radar Data Assimilation in the Canadian High-Resolution Ensemble Kalman Filter System: Performance and Verification with Real Summer Cases 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 006:;page 2118
    Author(s): Chang, Weiguang; Chung, Kao-Shen; Fillion, Luc; Baek, Seung-Jong
    Publisher: American Meteorological Society
    Abstract: n 80-member high-resolution ensemble Kalman filter (HREnKF) is implemented for assimilating radar observations with the Canadian Meteorological Center?s (CMC?s) Global Environmental Multiscale Limited-Area Model (GEM-LAM). ...
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    Correcting for Surface Pressure Background Bias in Ensemble-Based Analyses 

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 007:;page 2349
    Author(s): Baek, Seung-Jong; Szunyogh, Istvan; Hunt, Brian R.; Ott, Edward
    Publisher: American Meteorological Society
    Abstract: Model error is the component of the forecast error that is due to the difference between the dynamics of the atmosphere and the dynamics of the numerical prediction model. The systematic, slowly varying part of the model ...
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    Higher Resolution in an Operational Ensemble Kalman Filter 

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 003:;page 1143
    Author(s): Houtekamer, P. L.; Deng, Xingxiu; Mitchell, Herschel L.; Baek, Seung-Jong; Gagnon, Normand
    Publisher: American Meteorological Society
    Abstract: ecently, the computing facilities available to the Meteorological Service of Canada were significantly upgraded. This provided an opportunity to improve the resolution of the global ensemble Kalman filter (EnKF) and the ...
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    Developing a Convective-Scale EnKF Data Assimilation System for the Canadian MEOPAR Project 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 004:;page 1473
    Author(s): Jacques, Dominik; Chang, Weiguang; Baek, Seung-Jong; Milewski, Thomas; Fillion, Luc; Chung, Kao-Shen; Ritchie, Harold
    Publisher: American Meteorological Society
    Abstract: his study discusses the construction of a high-resolution ensemble Kalman filter system (the HREnKF) developed for the Marine Environmental Observation Prediction and Response (MEOPAR) network. The HREnKF runs at a horizontal ...
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    Verification of 24-hour quantitative precipitation forecasts over the Pacific Northwest from a high-resolution Ensemble Kalman Filter system 

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 003:;page 1185
    Author(s): Cookson-Hills, Phillipa; Kirshbaum, Daniel J.; Surcel, Madalina; Doyle, Jonathan G.; Fillion, Luc; Jacques, Dominik; Baek, Seung-Jong
    Publisher: American Meteorological Society
    Abstract: nvironment and Climate Change Canada (ECCC) has recently developed an experimental High Resolution EnKF (HREnKF) regional ensemble prediction system, which it tested over the Pacific Northwest of North America for the first ...
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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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