NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China
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Published:2022-02-14
Issue:3
Volume:15
Page:1269-1288
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Yan YuORCID, Gu Wei, Gierisch Andrea M. U.ORCID, Xu Yingjun, Uotila PetteriORCID
Abstract
Abstract. Severe ice conditions 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 spotted seals, which
are the only ice-dependent 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 the ocean and sea ice.
The model simulations agree with the observations with respect to sea
surface height (SSH), temperature (SST), salinity (SSS), currents, and
temperature and salinity stratification. 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. Overall agreement is found for the
occurrence dates of the annual maximum sea ice area. The simulated sea ice
thickness and volume are in general agreement with the observations with
slight overestimations. NEMO-Bohai can simulate seasonal sea ice evolution
and long-term interannual variations. Hence, NEMO-Bohai is a valuable tool
for long-term ocean and ice simulations and climate change studies.
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
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