Special Session     Thu-31 Jul     AM1   08:30 – 10:00     MR2

SS03: Joint effort for implementing UN Ocean Decade endorsed MoNITOR project to achieve an increased oceanic resilience by mitigating natural incidences


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Invited Talk
Digital Twin System of the Ocean
Fei CHAI, Xiamen University
fchai@xmu.edu.cn

Biography

Dr. Fei Chai is a Chair Professor of Ocean Science at Xiamen University. His research focuses on marine biogeochemical processes and ecosystem dynamics, especially the role of nutrients, iron, and upwelling in regulating ocean productivity and carbon export. He developed the CoSiNE biogeochemical model and pioneered its integration with fisheries models to study how physical and biological factors influence tuna, sardine, and anchovy populations. His work spans the North Pacific, the South China Sea, and Eastern Boundary Current systems. Dr. Chai contributes to international programs including GOA-ON and Biogeochemical Argo and has led major research projects funded by NSFC, NOAA, and NSF. His research advances our understanding of climate-driven ocean changes and supports forecasting tools for marine ecosystems.


Digital Twin System of the Ocean

Digital Twin System of the Ocean (DITTO) is a high-fidelity virtual replica integrating real-time observations, AI-driven data assimilation, and process-resolving models to simulate marine carbon-climate interactions. Leveraging multiplatform data streams—including BGC-Argo floats, satellite-derived SST/SSS, and autonomous glider transects—the DITTO dynamically updates a 4D ocean state at 1-km resolution, capturing submesoscale biogeochemical variability. Validation against 2020–2023 field campaigns demonstrate the system’s skill in reproducing observed oxygen minimum zone (OMZ) expansions (RMSE < 5 μmol/kg). Machine learning modules embedded in the DITTO reduce computational costs by 40% while improving carbon export flux predictions by reconciling particle size spectra with microbial remineralization processes.





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