Preprints
https://doi.org/10.5194/gmd-2021-100
https://doi.org/10.5194/gmd-2021-100

Submitted as: model description paper 16 Jun 2021

Submitted as: model description paper | 16 Jun 2021

Review status: this preprint is currently under review for the journal GMD.

NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China

Yu Yan1,2,3, Wei Gu2, Andrea M. U. Gierisch4, Yingjun Xu2, and Petteri Uotila3 Yu Yan et al.
  • 1School of Ocean Sciences, China University of Geosciences, Beijing 100083, China
  • 2Academy of Disaster Reduction and Emergency Management, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • 3Institute for Atmospheric and Earth System Research (INAR), Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
  • 4Danish Meteorological Institute, DK-2100 Copenhagen, Denmark

Abstract. Severe ice condition in the Bohai Sea could cause serious harm to maritime traffic, offshore oil exploitation, aquaculture, and other economic activities in the surrounding regions. In addition to providing sea ice forecasts for disaster prevention and risk mitigation, sea ice numerical models could help explain the sea ice variability within the context of climate change in marine ecosystems, such as that of spotted seals, which are the only ice-dependent sea animal that breeds in Chinese waters. Here, we developed NEMO-Bohai, an ocean-ice coupled model based on the Nucleus for European Modelling of the Ocean (NEMO) model version 4.0 and Sea Ice modelling Integrated Initiative (SI3) (NEMO4.0-SI3) for the Bohai Sea. This study will present the scientific design and technical choices of the parameterizations for the NEMO-Bohai model. The model was calibrated and evaluated with in situ and satellite observations of ocean and sea ice. The model simulations agree with the observations with respect to sea surface height (SSH), temperature (SST), and salinity (SSS). The seasonal variation of the sea ice area is well simulated by the model compared to the satellite remote sensing data for the period of 1996–2017, and there are similar overall statistics in the occurrence dates of annual maximum sea ice area. The simulated sea ice thickness and volume are in general agreement with the observations with slight over-estimations. NEMO-Bohai is able to simulate seasonal sea ice evolution and long-term interannual variations. Hence, Nemo-Bohai is intended to be a useful tool for long-term ocean and ice simulations as well as the ocean and climate change studies.

Yu Yan et al.

Status: open (until 04 Sep 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • AC1: 'Corrections', Yu Yan, 22 Jun 2021 reply
  • RC1: 'Comment on gmd-2021-100', Anonymous Referee #1, 12 Jul 2021 reply

Yu Yan et al.

Model code and software

NEMO-Bohai 1.0 Yu Yan https://doi.org/10.5281/zenodo.4892454

Yu Yan et al.

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Short summary
In this study, we developed NEMO-Bohai, an ocean-ice model for the Bohai Sea, China. This study presented the scientific design and technical choices of the parameterizations for the NEMO-Bohai model. The model was calibrated and evaluated with in situ and satellite observations of ocean and sea ice. Nemo-Bohai is intended to be a useful tool for long-term ocean and ice simulations as well as the ocean and climate change studies.