2 papers
cs.LG2026
BG4Sea: Biogeochemical Seasonal Forecastability via Progressive Information Scaling
Gabriela Martinez Balbontin, Anastase Charantonis, Dominique Bereziat +1
Marine biogeochemical forecasting is increasingly important for managing marine ecosystems and the carbon cycle, yet global, seasonal forecast products lag far behind physical ocea…
physics.ao-ph2025
Hybrid machine learning data assimilation for marine biogeochemistry
Ieuan Higgs, Ross Bannister, Jozef Skákala +3
Marine biogeochemistry models are critical for forecasting, as well as estimating ecosystem responses to climate change and human activities. Data assimilation (DA) improves these…