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Data Publication

Global Ocean Tide Model Data During the Last 21,000 Years

Authors
/persons/resource/sulzbach

Sulzbach,  Roman
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/volkerk

Klemann,  V.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/dobslaw

Dobslaw,  Henryk
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/mthomas

Thomas,  M.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Sulzbach, R., Klemann, V., Dobslaw, H., Thomas, M. (2022): Global Ocean Tide Model Data During the Last 21,000 Years.
https://doi.org/10.5880/GFZ.1.3.2022.005


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5023097
Abstract
This data publication encompasses a set of global tidal levels for individual epochs between 21 ka BP and present-day, the underlying global partial tides solutions (sea surface elevations and transports), and the global mean tidal dissipation as calculated from 8 partial tides. The data set was produced using the purely-hydrodynamical ocean tide model TiME, which was recently upgraded in the framework of the DFG-project Nerograv (https://www.lrg.tum.de/iapg/nerograv/) and which can be used for several applications: first, the reconstruction of indicative ranges for paleo sea levels markers, e.g. sea-level index points (SLIPs), second, to derive open boundary conditions for high-resolution regional paleo tide simulations, and third, to provide constraints for tidal deep ocean dissipation when running ocean general circulations models (OGCMs). The gridded information was transferred to a number of files in netcdf-format on a rotated-pole grid. The next section describes the creation of the data in more detail. Please also consider the data description for more details about the creation of this data set.