Learning-Based Emulation of Sea Surface Wind Fields from Numerical Model Outputs and SAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 10, 2015, Pages 4742-4750

  He, Liyun ^a   Fablet, Ronan ^b   Chapron, Bertrand ^a   Tournadre, Jean ^a  

^a Centre Bretagne   (France)

^b ECOLE DES MINES DE NANTES   (France)

Author keywords

Coastal wind; downscaling; high resolution (HR); machine learning; support vector regression (SVR)

Indexed keywords

FORECASTING; IMAGE RESOLUTION; LEARNING SYSTEMS; MACHINE LEARNING; MEAN SQUARE ERROR; ORTHOGONAL FUNCTIONS; SURFACE WATERS; SYNTHETIC APERTURE RADAR;

COASTAL WINDS; DOWN-SCALING; EMPIRICAL ORTHOGONAL FUNCTION; HIGH RESOLUTION; HIGH TEMPORAL RESOLUTION; MACHINE LEARNING METHODS; STATE-OF-THE-ART APPROACH; SUPPORT VECTOR REGRESSION (SVR);

SPACE-BASED RADAR;

DOWNSCALING; MACHINE LEARNING; NUMERICAL MODEL; SEA SURFACE; SUPPORT VECTOR MACHINE; SYNTHETIC APERTURE RADAR; WIND FIELD;

NORWAY;

EID: 84949844115     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2496503     Document Type: Article

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