Mean dynamic topography and oceanographic parameters estimated from an inverse model and satellite geodesy, with link to model result in one single NetCDF file (392 MB), including the inverse data error covariance ...

• Main Authors: Becker, Silvia, Losch, Martin, Brockmann, Jan Martin, Freiwald, Grit, Schuh, Wolf-Dieter
• Format: Dataset
• Language: English
• Published: PANGAEA 2014
• Subjects: Alfred Wegener Institute
• Online Access: https://dx.doi.org/10.1594/pangaea.841777; https://doi.pangaea.de/10.1594/PANGAEA.841777

Geostrophic surface velocities can be derived from the gradients of the mean dynamic topography-the difference between the mean sea surface and the geoid. Therefore, independently observed mean dynamic topography data are valuable input parameters and constraints for ocean circulation models. For a successful fit to observational dynamic topography data, not only the mean dynamic topography on the particular ocean model grid is required, but also information about its inverse covariance matrix. The calculation of the mean dynamic topography from satellite-based gravity field models and altimetric sea surface height measurements, however, is not straightforward. For this purpose, we previously developed an integrated approach to combining these two different observation groups in a consistent way without using the common filter approaches (Becker et al. in J Geodyn 59(60):99-110, 2012, doi:10.1016/j.jog.2011.07.006; Becker in Konsistente Kombination von Schwerefeld, Altimetrie und hydrographischen Daten zur ... : Data have been created in the DFG SPP-1257 (Massentransporte und Massenverteilungen im System Erde, Mass transports and mass distribution in the system Earth) projects RIFUGIO/RIFUGIO+ at the IGG-ITG, University of Bonn and the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research. ...