Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico

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Detalles Bibliográficos
Publicado en:	Ocean Science vol. 21, no. 1 (2025), p. 113
Autor principal:	Zavala-Romero, Olmo
Otros Autores:	Bozec, Alexandra, Chassignet, Eric P, Miranda, Jose R
Publicado:	Copernicus GmbH
Materias:	Gulf of Mexico Satellite data Environmental monitoring Ocean models Sea surface temperature Surface temperature Artificial neural networks Neural networks Computer vision Data assimilation Machine learning Training Interpolation Altimeters Satellite observation Primitive equations High resolution Image classification Artificial intelligence Information processing Performance assessment Anomalies Random variables Models Task complexity Satellites Dynamic models Language translation Deep learning Oceans Data collection Natural language processing Satellite tracking Environmental
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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