AI for Marine, Ocean and Climate Change Monitoring

The oceans play a pivotal role in regulating the Earth's climate, absorbing excess heat with far-reaching consequences such as rising sea levels and shifts in ocean circulation. To address these complex challenges, there is a growing interest in using advanced statistical, machine learning, and AI t...

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Збережено в:

Бібліографічні деталі
Формат:	Online
Мова:	Англійська
Опубліковано:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Предмети:	earth observations ocean dynamics satellite altimetry sea surface temperature artificial intelligence machine learning deep learning neural networks salinity SMAP skin-effect bias air-sea Arctic ocean machine-learning long short-term memory (LSTM) sea surface temperature (SST) East China Sea interpolation data-driven models variational data assimilation missing data suspended particulate matter observing system experiment Bay of Biscay near-surface humidity remote sensing China Seas sea temperature prediction reconstructed sea subsurface temperature data 3D U-Net LSTM chlorophyll-a cloud classification MODIS ocean color Sargassum MSI OLCI Sentinel-2 Sentinel-3 convolutional neural network spatiotemporal prediction graph neural network BGC-Argo ED380 ED412 ED490 global ocean light models neural network PAR n/a thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Онлайн доступ:	ONIX_20240514_9783036599984_78
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AI for Marine, Ocean and Climate Change Monitoring

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