New insight from CryoSat-2 sea ice thickness for sea ice modelling [PDF]
The Cryosphere, 2019 Estimates of Arctic sea ice thickness have been available from the CryoSat-2 (CS2) radar altimetry mission during ice growth seasons since 2010. We derive the sub-grid-scale ice thickness distribution (ITD) with respect to five ice thickness categories ...
D. Schröder +4 more
doaj +10 more sources
NEMO-Bohai 1.0: a high-resolution ocean and sea ice modelling system for the Bohai Sea, China [PDF]
Geoscientific Model Development, 2022 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.
Y. Yan +6 more
doaj +1 more source
Impact of sea ice floe size distribution on seasonal fragmentation and melt of Arctic sea ice [PDF]
The Cryosphere, 2020 Recent years have seen a rapid reduction in the summer Arctic sea ice extent. To both understand this trend and project the future evolution of the summer Arctic sea ice, a better understanding of the physical processes that drive the seasonal loss of ...
A. W. Bateson +5 more
doaj +1 more source
Sea Ice Model Intercomparison Project (SIMIP): Understanding sea ice through climate-model simulations [PDF]
Annals of Glaciology, 2016 Abstract. A better understanding of the role of sea ice for the changing climate of our planet is the central aim of the diagnostic CMIP6 Sea-Ice Model Intercomparison Project (SIMIP). To reach this aim, SIMIP requests sea-ice related variables from climate-model simulations that allow for a better understanding, and ultimately improvement, of biases ...
Dirk Notz +7 more
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Sensitivity of NEMO4.0-SI3 model parameters on sea ice budgets in the Southern Ocean [PDF]
Geoscientific Model Development, 2023 The seasonally dependent Antarctic sea ice concentration (SIC) budget is well observed and synthesizes many important air–sea–ice interaction processes.
Y. Nie +9 more
doaj +1 more source
Satellite-retrieved sea ice concentration uncertainty and its effect on modelling wave evolution in marginal ice zones [PDF]
The Cryosphere, 2020 Ocean surface waves are known to decay when they interact with sea ice. Wave–ice models implemented in a spectral wave model, e.g. WAVEWATCH III® (WW3), derive the attenuation coefficient based on several different model ice types, i.e.
T. Nose, T. Waseda, T. Kodaira, J. Inoue
doaj +1 more source
Sea Ice Properties in High‐Resolution Sea Ice Models [PDF]
Journal of Geophysical Research: Oceans, 2021 AbstractAn Arctic sea ice‐ocean model is run with three uniform horizontal resolutions (6, 4, and 2 km) and identical sea ice and ocean model parameterizations, including an isotropic viscous‐plastic sea ice rheology, a mechanical ice strength parameterization, and an ice ridging parameterization. Driven by the same atmospheric forcing, the three model
openaire +2 more sources
Journal of Glaciology, 2021 With the assimilation of satellite-based sea-ice thickness (SIT) data, the new SIT reanalysis from the Towards an Operational Prediction system for the North Atlantic European coastal Zones (TOPAZ4) was released from 2014 to 2018. Apart from assimilating
Yongwu Xiu +5 more
doaj +1 more source
IcePAC – a probabilistic tool to study sea ice spatio-temporal dynamics: application to the Hudson Bay area [PDF]
The Cryosphere, 2019 A reliable knowledge and assessment of the sea ice conditions and their evolution in time is a priority for numerous decision makers in the domains of coastal and offshore management and engineering as well as in commercial navigation.
C. Gignac +5 more
doaj +1 more source
The effect of partial dissolution on sea-ice chemical transport: a combined model–observational study using poly- and perfluoroalkylated substances (PFASs) [PDF]
The Cryosphere, 2023 We investigate the effect of partial dissolution on the transport of chemicals in sea ice. Physically plausible mechanisms are added to a brine convection model that decouples chemicals from convecting brine.
M. Thomas +5 more
doaj +1 more source