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...

Celý popis

Uloženo v:

Podrobná bibliografie
Médium:	Online
Jazyk:	angličtina
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Témata:	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
On-line přístup:	ONIX_20240514_9783036599984_78
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

AI for Marine, Ocean and Climate Change Monitoring

Podobné jednotky: AI for Marine, Ocean and Climate Change Monitoring

Podobné jednotky