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Updated: Apr 26, 2026

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
Multiyear predictability of tropical marine productivity
Roland Séférian1, Laurent Bopp2, Marion Gehlen2
1Centre National de Recherches Météorologiques-Groupe d'Etude de l'Atmosphère Météorologique/Groupe de Météorologie de Grande Echelle et Climat, 31100 Toulouse, France;Institut Pierre Simon Laplace/Laboratoire des Sciences du Climat et de l'Environnement, 91191 Gif sur Yvette, France; roland.seferian@meteo.fr.
Forecasting net primary productivity (NPP) in the tropical Pacific shows a 3-year predictive skill, surpassing sea surface temperature. This advance relies on understanding nutrient advection
Area of Science:
- Oceanography
- Climate Science
- Biogeochemistry
Background:
- Climate system forecasting research now spans various timescales, but predicting biogeochemical variables like net primary productivity (NPP) remains underexplored.
- NPP in the tropical Pacific (30°N-30°S) shows significant interannual to decadal fluctuations impacting marine ecosystems and fisheries.
Purpose of the Study:
- To investigate the predictability of NPP variations in the tropical Pacific from 1997 to 2011.
- To assess the potential for forecasting marine biogeochemical cycles.
Main Methods:
- Utilized an Earth system model to simulate NPP predictions in the tropical Pacific.
- Analyzed the relationship between NPP, sea surface temperature, and nutrient advection.
Main Results:
- Achieved a predictive skill of 3 years for NPP, exceeding the 1-year skill for sea surface temperature.
- Identified poleward advection of nitrate and iron anomalies as key drivers sustaining NPP fluctuations.
Conclusions:
- NPP in the tropical Pacific demonstrates higher predictability than sea surface temperature.
- Findings support the development of integrated physical-biogeochemical forecasting systems for marine resource management.
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