A Machine Learning Approach to Produce a Continuous Solar‐Induced Chlorophyll Fluorescence Over the Arctic Ocean
Abstract Phytoplankton primary production is a crucial component of Arctic Ocean (AO) biogeochemistry, playing a pivotal role in carbon cycling by supporting higher trophic levels and removing atmospheric carbon dioxide. The advent of satellite observations measuring chlorophyll a concentration (Chl...
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| Asıl Yazarlar: | , , , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Wiley
2024-12-01
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| Seri Bilgileri: | Journal of Geophysical Research: Machine Learning and Computation |
| Online Erişim: | https://doi.org/10.1029/2024JH000215 |
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