Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 11, issue 4
Articles | Volume 11, issue 4
https://doi.org/10.5194/essd-11-1765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 4
Data description paper
 | 
26 Nov 2019
Data description paper |  | 26 Nov 2019

Geostrophic currents in the northern Nordic Seas from a combination of multi-mission satellite altimetry and ocean modeling

Felix L. Müller, Denise Dettmering, Claudia Wekerle, Christian Schwatke, Marcello Passaro, Wolfgang Bosch, and Florian Seitz

Data sets

Geostrophic Currents in the northern Nordic Seas - A Combined Dataset of Multi-Mission Satellite Altimetry and Ocean Modeling (data) F. L. Müller, D. Dettmering, C. Wekerle, C. Schwatke, W. Bosch, and F. Seitz https://doi.org/10.1594/PANGAEA.900691

A-2 Sensor and Geophysical Data Record – SGDR ESA https://doi.org/10.5270/en1-85m0a7b

Eddy-permitting and eddy-resolving simulations of the Fram Strait ocean dynamics with the Finite-Element Sea-Ice Ocean Model (FESOM), links to NetCDF files C. Wekerle, Q. Wang, W.-J. von Appen, S. Danilov, V. Schourup-Kristensen, and T. Jung https://doi.org/10.1594/PANGAEA.880569

Copernicus in situ TAC, Global oceandelayed mode currents from drifting buoys M.-H. Rio and H. Etienne https://doi.org/10.13155/41257

roduct User Manual For Sea LevelSla Products, Global Ocean Gridded L4 Sea Surface HeightsAnd Derived Variables Reprocessed (1993–Ongoing) M. I. Pujol and F. Mertz http://resources.marine.copernicus.eu/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_L4_REP_OBSERVATIONS_008_047

Data grids of the Ekman and Stokes drift GlobCurrent http://globcurrent.ifremer.fr/products-data/data-catalogue

Model code and software

Finite Element Sea ice Ocean Model (FESOM) FESOM https://swrepo1.awi.de/projects/fesom

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Short summary
Polar regions by satellite-altimetry-derived geostrophic currents (GCs) suffer from irregular and sparse data coverage. Therefore, a new dataset is presented, combining along-track derived dynamic ocean topography (DOT) heights with simulated differential water heights. For this purpose, a combination method, based on principal component analysis, is used. The results are combined with spatio-temporally consistent DOT and derived GC representations on unstructured, triangular formulated grids.
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