Quantifying uncertainty for climate change and long-range forecasting scenarios with model errors. Part I: Gaussian models

Journal of Climate

Volumn 25, Issue 13, 2012, Pages 4523-4548

  Gershgorin, Boris ^a   Majda, Andrew J ^a  

^a NEW YORK UNIVERSITY   (United States)

Author keywords

Climate models; Climate sensitivity; Model errors; Statistical forecasting

Indexed keywords

CLIMATE CHANGE SCENARIOS; CLIMATE SCIENCE; CLIMATE SENSITIVITY; COARSE GRAINING; EXTERNAL PERTURBATIONS; GAUSSIAN MODEL; INITIAL CONDITIONS; LINEAR GAUSSIAN MODEL; LONG-RANGE FORECASTING; LONG-RANGE FORECASTS; MODEL ERRORS; NON-GAUSSIAN; PASSIVE TRACERS; PERIODIC MODELS; PHYSICAL SYSTEMS; RELATIVE ENTROPY; ROSSBY WAVE; SEASONAL CYCLE; SEASONAL FLUCTUATIONS; SPATIALLY EXTENDED SYSTEMS; STATISTICAL FORECASTING; STOCHASTIC FORCING; SYSTEMATIC FRAMEWORK; THREE MODELS; TURBULENT FIELDS;

CLIMATE CHANGE; ERRORS; FORECASTING; INFORMATION THEORY; OCEAN CURRENTS; STOCHASTIC MODELS;

CLIMATE MODELS;

CLIMATE CHANGE; CLIMATE MODELING; ERROR ANALYSIS; GAUSSIAN METHOD; LONG RANGE FORECAST; NUMERICAL MODEL; ROSSBY WAVE; STATISTICAL ANALYSIS; STOCHASTICITY; TRACER; UNCERTAINTY ANALYSIS;

EID: 84859558963     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-11-00454.1     Document Type: Article

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