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

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.2011.07.0069; Becker in Konsistente Kombination von Schwerefeld, Altimetrie und hydrographischen Daten zur Modellierung der dynamischen Ozeantopographie, 2012, http://nbn-resolving.de/nbn:de:hbz:5n-29199). Within this combination method, the full spectral range of the observations is considered. Further, it allows the direct determination of the normal equations (i.e., the inverse of the error covariance matrix) of the mean dynamic topography on arbitrary grids, which is one of the requirements for ocean data assimilation. In this paper, we report progress through selection and improved processing of altimetric data sets. We focus on the preprocessing steps of along-track altimetry data from Jason-1 and Envisat to obtain a mean sea surface profile. During this procedure, a rigorous variance propagation is accomplished, so that, for the first time, the full covariance matrix of the mean sea surface is available. The combination of the mean profile and a combined GRACE/GOCE gravity field model yields a mean dynamic topography model for the North Atlantic Ocean that is characterized by a defined set of assumptions. We show that including the geodetically derived mean dynamic topography with the full error structure in a 3D stationary inverse ocean model improves modeled oceanographic features over previous estimates.

Swath sonar bathymetry during SONNE cruise SO196 with links to multibeam raw data files

Multibeam data were measured during R/V Sonne cruise SO-196 (2008-03-02 to 2008-03-27) along survey profiles, transits and during stationary work. Data were achieved at the Okiwana Trough, particularly in the area of Yonaguni Knoll and Hatoma Knoll. The multibeam sonar system Kongsberg EM120 was operated using 191 beams and up to 150 deg aperture angle. The refraction correction was achieved using CTD profiles measured during this cruise. The quality of data might be reduced during bad weather periods. The dataset contains raw data that are not processed and thus may contain errors and blunders in depth and position.

(Table 1) Contents of chlorophyll a over the Northern Sea Route according to data of field measurements and estimated from MODIS data on measurement days

New maps of mean monthly distribution of chlorophyll and primary production in the Kara Sea were compiled using joint processing of CZCS (1978-1986), SeaWiFS (1998-2005), and MODIS (2002-2006) satellite data and field measurements. The annual primary production of phytoplankton is estimated at 22.3 x 10**6 t C per year or 70 mg C/m**2 per day. Results of calculations of the organic carbon budget in the Kara Sea are presented.