On the variations of sea surface pCO2 in the northern South China Sea: A remote sensing based neural network approach

Journal of Geophysical Research: Oceans

Volumn 117, Issue 8, 2012, Pages

  Jo, Young Heon ^a   Dai, Minhan ^b   Zhai, Weidong ^b   Yan, Xiao Hai ^a,b   Shang, Shaoling ^b  

^a UNIVERSITY OF DELAWARE   (United States)

^b XIAMEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CARBON DIOXIDE; CHLOROPHYLL; COASTAL ENGINEERING; ESTIMATION; INTERNET PROTOCOLS; MEAN SQUARE ERROR; RADIOMETERS; REMOTE SENSING; SURFACE WATERS;

COASTAL UPWELLING; COMBINED UNCERTAINTY; CORRELATION COEFFICIENT; DYNAMIC FEATURES; FIRST ORDER; GUANGDONG PROVINCE; HAINAN ISLAND; HOMOGENEOUS DISTRIBUTION; IN-SITU DATA; IN-SITU MEASUREMENT; IN-SITU OBSERVATIONS; NEARSHORES; NN ALGORITHMS; NORTHERN SOUTH CHINA SEA; PEARL RIVER; PREDICTIVE CAPABILITIES; ROOT MEAN SQUARE ERRORS; SAMPLING PERIOD; SATELLITE MEASUREMENTS; SATELLITE SST; SEA SURFACE TEMPERATURE (SST); SEA SURFACES; TESTING ALGORITHM;

UNCERTAINTY ANALYSIS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CARBON DIOXIDE; CHLOROPHYLL; COASTAL CIRCULATION; DATA ACQUISITION; ERROR ANALYSIS; IN SITU MEASUREMENT; MODIS; PARTIAL PRESSURE; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SEA SURFACE TEMPERATURE; UNCERTAINTY ANALYSIS;

CHINA; GUANGDONG; HAINAN; PACIFIC OCEAN; SOUTH CHINA SEA;

EID: 84865479027     PISSN: None     EISSN: 21699291     Source Type: Journal    
DOI: 10.1029/2011JC007745     Document Type: Article

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