Quantifying the predictive skill in long-range forecasting. Part I: Coarse-grained predictions in a simple ocean model

Journal of Climate

Volumn 25, Issue 6, 2012, Pages 1793-1813

  Giannakis, Dimitrios ^a   Majda, Andrew J ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

Ensembles; Forecasting; Gyres; Jets; Ocean circulation; Probability forecasts models distribution

Indexed keywords

BAROTROPIC; COARSE GRAINING; COARSE-GRAINED; EMPIRICAL ORTHOGONAL FUNCTION; ENSEMBLE PREDICTION; ENSEMBLES; ERGODIC SIGNALS; GYRES; JET CONFIGURATION; K-MEANS CLUSTERING; LEAD TIME; LONG-RANGE FORECASTING; MIXING DYNAMICS; OCEAN CIRCULATION; OCEAN MODEL; OPTIMAL PARTITIONS; PARTITION ALGORITHMS; PHASE SPACES; PRINCIPAL COMPONENTS; PROBABILITY FORECASTS/MODELS/DISTRIBUTION; RELATIVE ENTROPY; STREAMFUNCTIONS; THREE-STATE MODELS;

CLIMATOLOGY; INFORMATION THEORY; JETS; PHASE SPACE METHODS; PRINCIPAL COMPONENT ANALYSIS;

FORECASTING;

ALGORITHM; BAROTROPIC MOTION; EMPIRICAL ANALYSIS; ENSEMBLE FORECASTING; GYRE; JET; LONG RANGE FORECAST; OCEANIC CIRCULATION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; SIGNAL PROCESSING; WEATHER FORECASTING;

EID: 84858613589     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2011JCLI4143.1     Document Type: Article

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