Estimation of subsurface temperature anomaly in the North Atlantic using a self-organizing map neural network

Journal of Atmospheric and Oceanic Technology

Volumn 29, Issue 11, 2012, Pages 1675-1688

  Wu, Xiangbai ^a,b   Yan, Xiao Hai ^a,b   Jo, Young Heon ^b   Liu, W Timothy ^c  

^a XIAMEN UNIVERSITY   (China)

^b UNIVERSITY OF DELAWARE   (United States)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Algorithms; Neural networks; North Atlantic Ocean; Surface temperature; Thermocline

Indexed keywords

CORRELATION COEFFICIENT; DATA SETS; ERROR SOURCES; GULF STREAM; IN-SITU MEASUREMENT; MIDLATITUDES; NORTH ATLANTIC; NORTH ATLANTIC OCEAN; REMOTE SENSING DATA; SEA SURFACE TEMPERATURE (SST); SEA SURFACES; SELF-ORGANIZING MAP NEURAL NETWORK; SOM ALGORITHMS; SUBSURFACE TEMPERATURE; SUBTROPICAL OCEAN; SURFACE TEMPERATURES; TRAINING PROCESS;

ALGORITHMS; ATMOSPHERIC TEMPERATURE; CLIMATOLOGY; CONFORMAL MAPPING; INTERNET PROTOCOLS; NEURAL NETWORKS; OCEAN CURRENTS; REMOTE SENSING; SALINITY MEASUREMENT; TEMPERATURE DISTRIBUTION; TIME SERIES;

ESTIMATION;

ALTIMETRY; ARGO; ARTIFICIAL NEURAL NETWORK; DATA SET; ERROR ANALYSIS; IN SITU MEASUREMENT; MODEL VALIDATION; REMOTE SENSING; SALINITY; SEA SURFACE HEIGHT; SEA SURFACE TEMPERATURE; TEMPERATURE ANOMALY; THERMOCLINE; TIME SERIES ANALYSIS;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH); ATLANTIC OCEAN (SUBTROPICAL); GULF STREAM;

EID: 84871882054     PISSN: 07390572     EISSN: 15200426     Source Type: Journal    
DOI: 10.1175/JTECH-D-12-00013.1     Document Type: Article

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