Sea ice thickness distribution (ITD) Model for the Arctic, links to NetCDF files
Cobertura |
LATITUDE: 90.000000 * LONGITUDE: 0.000000 |
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Data(s) |
13/10/2016
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Resumo |
Sea ice models contain many different parameterizations of which one of the most commonly used is a subgrid-scale ice thickness distribution (ITD). The effect of this model component and the associated ice strength formulation on the reproduction of observed Arctic sea ice is assessed. To this end the model's performance in reproducing satellite observations of sea ice concentration, thickness and drift is evaluated. For an unbiased comparison, different model configurations with and without an ITD are tuned with an automated parameter optimization. The original combination of ITD and ice strength parameterization does not lead to better results than a simple single category model. Yet changing to a simpler ice strength formulation, which depends linearly on the mean ice thickness across all thickness categories, allows to clearly improve the model-data misfit when using an ITD. In the original formulation, the ice strength depends strongly on the number of thickness categories, so that introducing more categories can lead to thicker albeit weaker ice on average. |
Formato |
text/tab-separated-values, 30 data points |
Identificador | |
Idioma(s) |
en |
Publicador |
PANGAEA |
Relação |
Hilber III, W D (1979): A dynamic thermodynamic sea ice model. Journal of Physical Oceanography, 9(4), 815-846, doi:10.1175/1520-0485(1979)009<0815:ADTSIM>2.0.CO;2 Rothrock, Drew A (1975): The energetics of the plastic deformation of pack ice by ridging. Journal of Geophysical Research, 80(33), 4514-4519, doi:10.1029/JC080i033p04514 |
Direitos |
CC-BY: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted |
Fonte |
Supplement to: Ungermann, Mischa; Tremblay, Bruno; Martin, Torge; Losch, Martin (2016): Improving the fit to satellite observations with a sea ice thickness dstribution model for the Arctic: The role of the ice strength formulation. Journal of Geophysical Research-Oceans, submitted |
Palavras-Chave | #Arctic; File content; File format; File name; File size; pan-Arctic; Uniform resource locator/link to file |
Tipo |
Dataset |