Marine Ecosystem Modeling and Forecasting System in the China Seas and Northwestern Pacific (MEMFiS)

Summary of the project

China´s coastal regions are under increasing pressure from both climate change and intensive human activity. The ecology of the coastal regions are particularly threatened by eutrophication, red tides and hypoxia events, etc. This raises the question of whether, and to what extent, ecological changes in coastal regions can be predicted, in order to preserve and retain their function and economic value.

Focusing on the ecology of the Bohai, Yellow, East and South China Seas, and the Northwestern Pacific, the MEMFis project aims to develop an integrated modelling and forecasting framework, using high-resolution physical-ecosystem models and data from multiple sources. By investigating ecosystem variability at different temporal and spatial scales, several key scientific questions will be tackled. Marine ecosystem variability will be addressed at the interface of different systems, parameterizations optimized for biogeochemical processes in different regions, data assimilation and ecosystem forecasting using multiple observations not only from moorings, buoys and ships, but also from bio-Argo, gliders and high-resolution satellite imagery.

More than 15 research institutes are involved in MEMFiS including the Second Institute of Oceanography, Tianjin University, the South China Sea Institute of Oceanology, and the National Marine Environmental Forecasting Center.

Area of study

Figure: The project includes four regional and forecasting models: the Pacific model, the Bohai-Yellow Sea model, the Yellow-East China Sea model, and the South China Sea model. These are all based on the coupled ROMS-CoSiNE model but with regional optimized parameters. Data from cruise surveys, gliders, bio-Argo and moorings will be incorporated into the models.

Timetable

July 2016 – December 2020

Annual reports

MEMFiS Annual Report 2021

MEMFiS Annual Report 2020

MEMFiS Annual Report 2019

Contacts

Dr. Fei Chai (Project leader)
Second Institute of Oceanography,
State Oceanic Administration
China​​​​​​​

Email

Webpage

Dr. Hao Wei (Research team leader)
Tianjin University
China

Email

Webpage

Dr. Feng Zhou (Research team leader)
Second Institute of Oceanography,
State Oceanic Administration
China

Email

Webpage

Dr. Peng Xiu (Research team leader)
South China Sea Institute of Oceanology,
Chinese Academy of Sciences
China

Email

Webpage

Dr. Shan Gao (Research team leader)
National Marine Environmental Forecasting Center
China

Email

Webpage​​​​​​​