Statistical-dynamical prediction of the Madden-Julian oscillation using NCEP climate forecast system (CFS)

International Journal of Climatology

Volumn 29, Issue 14, 2009, Pages 2146-2155

  Seo, Kyong Hwan ^a  

^a Pusan National University   (South Korea)

Author keywords

Coupled CFS model; Madden Julian oscillation (MJO); Predictive skill; Statistical dynamical hybrid model

Indexed keywords

CLIMATE FORECASTS; CORRELATION COEFFICIENT; COUPLED MODELS; DYNAMICAL MODEL; DYNAMICAL PREDICTIONS; FORECASTING SKILL; HYBRID MODEL; INDIAN OCEAN; LEADTIME; MADDEN-JULIAN OSCILLATION; MARITIME CONTINENT; MULTIPLE LINEAR REGRESSIONS; NATIONAL CENTERS FOR ENVIRONMENTAL PREDICTIONS; NUMERICAL MODELS; PREDICTIVE PERFORMANCE; PREDICTIVE SKILL; PRINCIPAL COMPONENTS; RMS ERRORS; ROOT MEAN SQUARE; TRAINING DATA;

ERROR CORRECTION; HYBRID SENSORS; INSTRUMENT SCALES; LINEAR REGRESSION; MICROCOMPUTERS; NICKEL COMPOUNDS; OCEANOGRAPHY; TIME SERIES; ULTRAHIGH MOLECULAR WEIGHT POLYETHYLENES;

FORECASTING;

ATMOSPHERIC CIRCULATION; ATMOSPHERIC DYNAMICS; CLIMATE PREDICTION; CORRELATION; EL NINO; ERROR CORRECTION; MADDEN-JULIAN OSCILLATION; MULTIPLE REGRESSION; NUMERICAL MODEL; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL ANALYSIS;

EID: 71449122631     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.1845     Document Type: Article

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