Neural network-based estimates of North Atlantic surface pCO2 from satellite data: A methodological study

Journal of Geophysical Research: Oceans

Volumn 114, Issue 3, 2009, Pages

  Friedrich, T ^a,b   Oschlies, A ^a  

^a GEOMAR HELMHOLTZ CENTRE FOR OCEAN RESEARCH KIEL   (Germany)

^b UNIVERSITY OF HAWAII   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; BIOGEOCHEMISTRY; CHLOROPHYLL; ERRORS; INTERNET PROTOCOLS; INTERPOLATION; OCEAN ENGINEERING; OCEANOGRAPHY; PORPHYRINS; REMOTE SENSING; SATELLITES; SURFACE PROPERTIES;

BIOGEOCHEMICAL MODELS; CIRCULATION MODELS; CLOUD COVER; ESTIMATION METHODS; GROUND TRUTH; INTERPOLATION SCHEMES; MODEL OUTPUTS; NEURAL NET; NORTH ATLANTIC; OCEAN SURFACES; OPTICAL SATELLITES; REMOTE SENSING DATA; RMS ERRORS; SATELLITE DATA; SELF-ORGANIZING NEURAL NETWORK; SOLAR IRRADIATION; SURFACE CHLOROPHYLL; SURFACE TEMPERATURES; VOLUNTARY OBSERVING SHIPS;

SELF ORGANIZING MAPS;

ARTIFICIAL NEURAL NETWORK; BIOGEOCHEMICAL CYCLE; CARBON DIOXIDE; CHLOROPHYLL; CLOUD COVER; ERROR ANALYSIS; REMOTE SENSING; SATELLITE DATA; SOLAR RADIATION; SURFACE TEMPERATURE;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH);

EID: 67649226943     PISSN: None     EISSN: 21699291     Source Type: Journal    
DOI: 10.1029/2007JC004646     Document Type: Article

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