Interpreting variability in global SST data using independent component analysis and principal component analysis

International Journal of Climatology

Volumn 30, Issue 3, 2010, Pages 333-346

  Westra, Seth ^a   Brown, Casey ^b   Lall, Upmanu ^b   Koch, Inge ^a   Sharma, Ashish ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Columbia University ^*  (United States)

Author keywords

Climate variability; EI nino southern oscillation; Independent component analysis; Principal component analysis; Sea surface temperature; Varimax

Indexed keywords

CLIMATE VARIABILITY; COMPONENT EXTRACTION; DATA SETS; EI NINO-SOUTHERN OSCILLATION; EI NINO-SOUTHERN OSCILLATIONS; HIGH-DIMENSIONAL; INDEPENDENT COMPONENTS; INTERPRETABILITY; MULTIPLE POINTS; MULTIVARIATE DATA SETS; ORTHOGONAL REPRESENTATION; POTENTIAL APPLICATIONS; SEA SURFACE TEMPERATURES; SIMPLE STRUCTURES; SOURCE SIGNALS; SOUTHERN OSCILLATION; SPATIAL DATASETS; SST ANOMALIES; TROPICAL ATLANTIC;

ATMOSPHERIC PRESSURE; ATMOSPHERIC TEMPERATURE; CLIMATOLOGY; GLOBAL WARMING; HEMODYNAMICS; INDEPENDENT COMPONENT ANALYSIS; MULTIVARIANT ANALYSIS; NICKEL COMPOUNDS; ROTATION; SUBMARINE GEOPHYSICS; SURFACE PROPERTIES;

PRINCIPAL COMPONENT ANALYSIS;

CLIMATE MODELING; CLIMATE VARIATION; DATA SET; EL NINO-SOUTHERN OSCILLATION; GLOBAL WARMING; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SEA SURFACE TOPOGRAPHY; SIGNAL PROCESSING; SPATIAL VARIATION; TREND ANALYSIS;

ATLANTIC OCEAN; ATLANTIC OCEAN (TROPICAL);

EID: 76849106803     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.1888     Document Type: Article

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