Scholz, Patrick; Lohmann, Gerrit; Wang, Qiang; Danilov, Sergey (2013): Results of a Finite-Element Sea-Ice Ocean Model (FESOM) set-up to study the interannual to decadal variability in the deep-water formation rates [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.816370, Supplement to: Scholz, P et al. (2013): Evaluation of a Finite-Element Sea-Ice Ocean Model (FESOM) set-up to study the interannual to decadal variability in the deep-water formation rates. Ocean Dynamics, 63(4), 347-370, https://doi.org/10.1007/s10236-012-0590-0
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Published: 2013-07-04 • DOI registered: 2013-08-01
Abstract:
The characteristics of a global set-up of the Finite-Element Sea-Ice Ocean Model under forcing of the period 1958-2004 are presented. The model set-up is designed to study the variability in the deep-water mass formation areas and was therefore regionally better resolved in the deep-water formation areas in the Labrador Sea, Greenland Sea, Weddell Sea and Ross Sea. The sea-ice model reproduces realistic sea-ice distributions and variabilities in the sea-ice extent of both hemispheres as well as sea-ice transport that compares well with observational data. Based on a comparison between model and ocean weather ship data in the North Atlantic, we observe that the vertical structure is well captured in areas with a high resolution. In our model set-up, we are able to simulate decadal ocean variability including several salinity anomaly events and corresponding fingerprint in the vertical hydrography. The ocean state of the model set-up features pronounced variability in the Atlantic Meridional Overturning Circulation as well as the associated mixed layer depth pattern in the North Atlantic deep-water formation areas.
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# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
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1 | File name | File name | Lohmann, Gerrit | |||
2 | File size | File size | kByte | Lohmann, Gerrit | ||
3 | File format | File format | Lohmann, Gerrit | |||
4 | Uniform resource locator/link to file | URL file | Lohmann, Gerrit |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
32 data points