Filtering partially observed multiscale systems with heterogeneous multiscale methods-based reduced climate models

Monthly Weather Review

Volumn 140, Issue 3, 2012, Pages 860-873

  Kang, Emily L ^a,c   Harlim, John ^b  

^a Statistical and Applied Mathematical Sciences Institute USA   (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF CINCINNATI   (United States)

Author keywords

Filtering techniques; Kalman filters; Numerical analysis modeling

Indexed keywords

BAYESIAN UPDATING; CONDITIONAL DISTRIBUTION; ENSEMBLE KALMAN FILTER; FILTERING STRATEGIES; FILTERING TECHNIQUE; HETEROGENEOUS MULTISCALE METHOD; MACROSCOPIC DYNAMICS; MACROSCOPIC VARIABLES; MODEL ERRORS; MULTI-SCALE SYSTEM; MULTISCALES; OFFLINE; PSEUDO-OBSERVATIONS; SEPARATION OF SCALE; STRINGENT TEST; TURBULENT SYSTEMS; TWO LAYERS; UNBIASED ESTIMATES;

CLIMATE MODELS; EQUIPMENT TESTING; ERRORS; KALMAN FILTERS; SEPARATION;

ESTIMATION;

BAYESIAN ANALYSIS; CLIMATE MODELING; COMPUTER SIMULATION; ENSEMBLE FORECASTING; ERROR ANALYSIS; ESTIMATION METHOD; KALMAN FILTER; OBSERVATIONAL METHOD; REGIONAL CLIMATE; WEATHER FORECASTING;

EID: 84857925239     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR-D-10-05067.1     Document Type: Article

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