Identifying drivers and dynamics of phytoplankton in the Black Sea: application of a neural emulator
We present a spatiotemporal convolutional U-Net emulator model to forecast phytoplankton chlorophyll concentrations and key nutrient fields (nitrate and ammonium) in the Black Sea, using simulation data from 1950–2014. The emulator achieved substantially higher predictive skill compared to baseline...
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| Автори: | , , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2026-03-01
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| Серія: | Frontiers in Marine Science |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fmars.2026.1760162/full |
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