AI-powered spatiotemporal imputation and prediction of chlorophyll-a concentration in coastal ecosystems
Abstract Predicting spatiotemporal Chlorophyll-a (Chl_a) distributions is essential for diagnosing and analysing productivity and ecosystem health of coastal oceans. Yet, current tools remain inadequate for prognosing marine ecosystems through predicting spatiotemporal Chl_a distributions, particula...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-62901-9 |
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