Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/esd-17-795-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-17-795-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Research article
 | 
19 Jun 2026
Research article |  | 19 Jun 2026

Deep learning-based chlorophyll prediction: comparison with a dynamic model and applications to fish catch forecasting

Ji-Sook Park, Jong-Yeon Park, Yoo-Geun Ham, Jeong-Hwan Kim, and Woo Jin Jeon

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Latest update: 08 Aug 2026
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Short summary
We developed a deep learning system to predict future ocean phytoplankton, the base of the marine food web. Using long-term records from climate model simulations and past ocean data, it provides skillful chlorophyll forecasts across global coastal regions, comparable to those from dynamic climate model forecasts. The predicted chlorophyll also explains historical changes in fish catch, offering a new tool to help communities prepare for climate-driven marine ecosystem changes.
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