Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Testing a Sea Ice Model

View through CrossRef
<p>SI<sup>3</sup> (Sea Ice modelling Integrated Initiative) is the sea ice engine of the NEMO ocean model. It incorporates elements of three sea ice models that have been used with NEMO in the past: CICE, GELATO, and LIM. It takes account of sea ice dynamics, thermodynamics, brine inclusions, and subgrid-scale thickness variations.</p><p>A process that has historically been poorly represented in sea ice models is the formation and evolution of melt ponds. These ponds accumulate on the surface of sea ice during the melt season and affect the heat and mass balance in various ways, the most important of which is a reduction in albedo. A melt pond scheme that has a significant impact on surface albedo has recently been added to SI<sup>3</sup>, based on the ideas of Flocco et al (JGR, 2010). This scheme attempts to represent the influence of ice topography on lateral meltwater transport. We present the results of tests of the grid-level conservation of heat and fresh water in this new scheme. To perform these tests we have incorporated a basic mixed-layer ocean model into SI<sup>3</sup> as an intermediate complexity alternative to running with the full ocean model or forcing with saved ocean fields.</p><p>We also present a comparison of SI<sup>3</sup> with the Los Alamos sea ice model (CICE) in multi-decadal simulations. These comparisons cover the sea ice mass balance (sea ice concentration, extent, and thickness) and the sea ice motion.</p>
Title: Testing a Sea Ice Model
Description:
<p>SI<sup>3</sup> (Sea Ice modelling Integrated Initiative) is the sea ice engine of the NEMO ocean model.
It incorporates elements of three sea ice models that have been used with NEMO in the past: CICE, GELATO, and LIM.
It takes account of sea ice dynamics, thermodynamics, brine inclusions, and subgrid-scale thickness variations.
</p><p>A process that has historically been poorly represented in sea ice models is the formation and evolution of melt ponds.
These ponds accumulate on the surface of sea ice during the melt season and affect the heat and mass balance in various ways, the most important of which is a reduction in albedo.
A melt pond scheme that has a significant impact on surface albedo has recently been added to SI<sup>3</sup>, based on the ideas of Flocco et al (JGR, 2010).
This scheme attempts to represent the influence of ice topography on lateral meltwater transport.
We present the results of tests of the grid-level conservation of heat and fresh water in this new scheme.
To perform these tests we have incorporated a basic mixed-layer ocean model into SI<sup>3</sup> as an intermediate complexity alternative to running with the full ocean model or forcing with saved ocean fields.
</p><p>We also present a comparison of SI<sup>3</sup> with the Los Alamos sea ice model (CICE) in multi-decadal simulations.
These comparisons cover the sea ice mass balance (sea ice concentration, extent, and thickness) and the sea ice motion.
</p>.

Related Results

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...
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 ...
Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover
Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover
Abstract. Recent studies based on satellite observations have shown that there is a high statistical connection between the late winter (Feb-May) sea ice export out the Laptev Sea,...
Sea ice deformation and thickness in the Western Ross Sea
Sea ice deformation and thickness in the Western Ross Sea
<p>Sea ice cover is arguably the longest and best observed climate variable from space, with over four decades of highly reliable daily records of extent in both hemi...
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...
Differences in Arctic sea ice simulations from various SODA3 data sets
Differences in Arctic sea ice simulations from various SODA3 data sets
<p>SODA (Simple Ocean Data Assimilation) is one of the ocean reanalysis data widely used in oceanographic research. The SODA3 dataset provides multiple ocean reanalys...
Combined measurement of snow depth and sea ice thickness by helicopter EM bird in McMurdo Sound, Antarctica
Combined measurement of snow depth and sea ice thickness by helicopter EM bird in McMurdo Sound, Antarctica
<p>Snow on sea ice is a controlling factor for ocean-atmosphere heat flux and thus ice thickness growth, and surface albedo. Active and passive microwave remote sensi...

Back to Top