The 10,240-member ensemble Kalman filtering with an intermediate AGCM

Geophysical Research Letters

Volumn 41, Issue 14, 2014, Pages 5264-5271

  Miyoshi, Takemasa ^a,b,c   Kondo, Keiichi ^a   Imamura, Toshiyuki ^a  

^a RIKEN   (Japan)

^b Bldg 142   (United States)

^c JAPAN AGENCY FOR MARINE EARTH SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

covariance localization; data assimilation; ensemble Kalman filter; large ensemble

Indexed keywords

COMPUTER SIMULATION; COVARIANCE MATRIX; EIGENVALUES AND EIGENFUNCTIONS;

ATMOSPHERIC GENERAL CIRCULATION MODELS; COMPUTATIONAL CHALLENGES; COVARIANCE LOCALIZATION; DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; ENSEMBLE KALMAN FILTERING; FLOATING POINT OPERATIONS PER SECONDS; LARGE ENSEMBLE;

KALMAN FILTERS;

ATMOSPHERIC GENERAL CIRCULATION MODEL; COVARIANCE ANALYSIS; DATA ASSIMILATION; EIGENVALUE; ENSEMBLE FORECASTING; ERROR ANALYSIS; HUMIDITY; KALMAN FILTER; TELECONNECTION;

PACIFIC COAST [NORTH AMERICA];

EID: 84904521134     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2014GL060863     Document Type: Article

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