Javascript must be enabled to continue!
NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China
View through CrossRef
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.
Title: NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China
Description:
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.
Related Results
NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China
NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China
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 surroundi...
Effect of ocean heat flux on Titan's topography and tectonic stresses
Effect of ocean heat flux on Titan's topography and tectonic stresses
INTRODUCTIONThe thermo-mechanical evolution of Titan's ice shell is primarily controlled by the mode of the heat transfer in the ice shell and the amount of heat coming from the oc...
Viscous relaxation of Pluto's ice shell below Sputnik Planitia
Viscous relaxation of Pluto's ice shell below Sputnik Planitia
AbstractThe surface of Pluto is dominated by the Sputnik Planitia basin, possibly caused by an impact ~ 4 Gyr ago. To explain basin's unlikely position close to tidal axis with Cha...
Seasonal Arctic sea ice predictability and prediction
Seasonal Arctic sea ice predictability and prediction
Arctic sea ice plays a central role in the Earth’s climate. Changes in the sea ice on seasonal-to-interannual timescales impact ecosystems, populations and a growing number of stak...
Modelling very recent ice ages on Mars with the Planetary Climate Model
Modelling very recent ice ages on Mars with the Planetary Climate Model
Protected by centimeters of dry sediments, a planetary-scale mantle of relatively pure water ice covers the entire mid and high latitudes of Mars. Its presence down has been shown ...
The sea ice in Young Sound: Implications for carbon cycling
The sea ice in Young Sound: Implications for carbon cycling
Most of the year, Young Sound is covered by c. 160 cm thick sea ice overlain by a 20-100 cm thick snow cover. During the last 50 years the sea-ice-free period has varied between 63...
Sea-ice ridges - an understudied yet key component of the Arctic sea-ice system
Sea-ice ridges - an understudied yet key component of the Arctic sea-ice system
Sea-ice ridges (or more precisely, deformed ice) constitute a large fraction of the Arctic ice pack, however, estimates range broadly from 30 to 70%. Yet, we know disproportionally...
Dissolved Neodymium Isotopes Trace Origin and Spatiotemporal Evolution of Modern Arctic Sea Ice
Dissolved Neodymium Isotopes Trace Origin and Spatiotemporal Evolution of Modern Arctic Sea Ice
<p>The lifetime and thickness of Arctic sea ice have markedly decreased in the recent past. This affects Arctic marine ecosystems and the biological pump, given that ...

