A Machine Learning Approach to Produce a Continuous Solar‐Induced Chlorophyll Fluorescence Over the Arctic Ocean

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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Main Authors: Nima Madani, Nicholas C. Parazoo, Manfredi Manizza, Abhishek Chatterjee, Dustin Carroll, Dimitris Menemenlis, Vincent Le Fouest, Atsushi Matsuoka, Kelly M. Luis, Camila Serra‐Pompei, Charles E. Miller
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Journal of Geophysical Research: Machine Learning and Computation
Online Access:https://doi.org/10.1029/2024JH000215
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https://doi.org/10.1029/2024JH000215

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