Estimation of subsurface temperature anomaly in the Indian Ocean during recent global surface warming hiatus from satellite measurements: A support vector machine approach

Remote Sensing of Environment

Volumn 160, Issue , 2015, Pages 63-71

  Su, Hua ^a,c   Wu, Xiangbai ^a,c   Yan, Xiao Hai ^b,c   Kidwell, Autumn ^b  

^a XIAMEN UNIVERSITY   (China)

^b UNIVERSITY OF DELAWARE   (United States)

^c UNIVERSITY OF DELAWARE   (United States)

Author keywords

Global warming hiatus; Satellite measurements; Subsurface temperature anomaly; Support vector machine; The Indian Ocean

Indexed keywords

ARTIFICIAL INTELLIGENCE; ATMOSPHERIC TEMPERATURE; CLIMATE CHANGE; GLOBAL WARMING; LEARNING SYSTEMS; OCEANOGRAPHY; REMOTE SENSING; SATELLITES; SUPPORT VECTOR MACHINES; SURFACE WATERS; VECTORS;

INDIAN OCEAN; MACHINE LEARNING METHODS; SATELLITE MEASUREMENTS; SATELLITE REMOTE SENSING MEASUREMENTS; SEA SURFACE TEMPERATURE ANOMALIES; SEA-SURFACE HEIGHT ANOMALIES; SUBSURFACE TEMPERATURE; SUPPORT VECTOR REGRESSION (SVR);

PARAMETER ESTIMATION;

ACCURACY ASSESSMENT; ARGO; GLOBAL WARMING; HIATUS; SATELLITE DATA; SEA SURFACE HEIGHT; SEA SURFACE SALINITY; SEA SURFACE TEMPERATURE; TEMPERATURE ANOMALY; VECTOR;

INDIAN OCEAN;

EID: 85027931331     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.01.001     Document Type: Article

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