Causal discovery for climate research using graphical models

Journal of Climate

Volumn 25, Issue 17, 2012, Pages 5648-5665

  Ebert Uphoff, Imme ^a   Deng, Yi ^b  

^a Engineering Research Center and Hydraulics Laboratory   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Data mining; Statistical techniques; Teleconnections

Indexed keywords

BOREAL WINTERS; CAUSAL RELATIONSHIPS; CAUSE-EFFECT RELATIONSHIPS; CLIMATE RESEARCH; CLIMATE SCIENTISTS; CONSTRAINT-BASED; CORRELATION ANALYSIS; DYNAMICAL PROCESS; EASTERN PACIFIC; GRAPHICAL MODEL; INDEPENDENCE GRAPHS; INFORMATION FLOWS; LOW FREQUENCY; LOW FREQUENCY VARIABILITY; LOW-FREQUENCY MODES; NORTH ATLANTIC OSCILLATIONS; PACIFIC-NORTH AMERICA; STATISTICAL DATAS; STATISTICAL TECHNIQUES; STRUCTURE-LEARNING; TELECONNECTIONS; TEMPORAL SEQUENCING; TIME-SCALES; WESTERN PACIFIC;

ATMOSPHERIC PRESSURE; DATA MINING; FLOW GRAPHS; GRAPHIC METHODS; WIND EFFECTS;

BAYESIAN NETWORKS;

ATMOSPHERIC DYNAMICS; CLIMATE MODELING; CLIMATE OSCILLATION; DATA MINING; GEOSTATISTICS; GRAPHICAL METHOD; NETWORK ANALYSIS; SPATIOTEMPORAL ANALYSIS; TELECONNECTION;

EID: 84867228060     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-11-00387.1     Document Type: Article

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