Preprints
https://doi.org/10.5194/os-2020-47
https://doi.org/10.5194/os-2020-47

  09 Jun 2020

09 Jun 2020

Review status: this preprint was under review for the journal OS but the revision was not accepted.

Implementing a finite-volume coupled physical-biogeochemical model to the coastal East China Sea

Jingui Liu1,2, Shanglu Li3, Xuanliang Ji1,2, Guimei Liu1,2, Qingqing Pan1, and Yun Li1,2 Jingui Liu et al.
  • 1National Marine Environmental Forecasting Center (NMEFC), Minister of National Resources (MNR), Beijing, 100081, China
  • 2Key Laboratory of Marine Hazards Forecasting, NMEFC, MNR, Beijing, 100081, China
  • 3Marine Monitoring and Forecasting Center of Zhejiang, Hangzhou, 310007, China

Abstract. Several models for estuarine physical processes and biogeochemistry have been developed over last decades. One of the most comprehensive coupled model systems, Finite Volume Community Coastal Model (FVCOM) coupled with European Regional Seas Ecosystem Model (ERSEM) through the Framework for Aquatic Biogeochemical Models (FABM) has been implemented to a high resolution coastal East China Sea (ECS), which encompassed complex coastal zone and part of continental shelf. Physical model was assessed by traditional univariate comparisons, while a rigorous model skill assessment was conducted for coupled biological model. The model system's ability to reproduce major characteristics both in physical and biological environments was evaluated. The roles of physical, chemical and environmental parameters on the biogeochemistry of the ECS were extensively studied. This work could form a significant basis for future work, e.g. the response of biogeochemical flux to physical mechanism.

Jingui Liu et al.

 
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Status: closed
Status: closed
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Jingui Liu et al.

Jingui Liu et al.

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Short summary
The coastal East China Sea (ECS) is a highly productive system characterized of multiple spatial and temporal scale, in which physical, biogeochemical and ecological processes strongly interact. A coupled model system was implemented to a high resolution coastal ECS. The model was capable to reproduce main temporal and spatial features for phytoplankton and nutrients. This work could form a significant basis for future work, e.g. the response of biogeochemical flux to physical mechanism.