Mu, Longjiang; Losch, Martin; Yang, Qinghua; Ricker, Robert; Loza, Svetlana N; Nerger, Lars (2019): The Arctic sea ice drift simulation from October 2010 to December 2016 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.906973
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Abstract:
The simulated sea ice drift data is a by-product from a sea ice thickness assimilation system that generates the Arctic 'Combined Model and Satellite sea ice Thickness (CMST; doi:10.1594/PANGAEA.891475) ' dataset.
The data also provide the ocean current velocity where ice free. To obtain the sea ice drift on the geographic coordinate, a transformation must be done as following:
uE = AngleCS * SIuice - AngleSN * SIvice;
vN = AngleSN * SIuice + AngleCS * SIvice;
where uE and vN are two velocity components on the geographic coordinate; AngleCS and AngleSN can be found in 'grid.cdf'; SIuice and SIvice are sea ice velocity on model mesh.
Related to:
Mu, Longjiang; Losch, Martin; Yang, Qinghua; Ricker, Robert; Losa, Svetlana N; Nerger, Lars (2018): The Arctic combined model and satellite sea ice thickness (CMST) dataset. PANGAEA, https://doi.org/10.1594/PANGAEA.891475
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | File content | Content | Mu, Longjiang | |||
2 | File name | File name | Mu, Longjiang | |||
3 | File format | File format | Mu, Longjiang | |||
4 | File size | File size | kByte | Mu, Longjiang | ||
5 | Uniform resource locator/link to file | URL file | Mu, Longjiang |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
75 data points