Data Overview & Downloads

In this folder, all public data products generated in framework of 3D Earth are published. Free free to use this data, however remember to acknowledge the author. If you are unsure how to do that, please contact the author .

Global curvature analysis from gravity gradient data

Ebbing, J., Haas, P., Ferraccioli, F., Pappa, F., Szwillus, W., and Bouman, J. (2018). Earth tectonics as seen by GOCE - Enhanced satellite gravity gradient imaging. Scientific Reports. doi:10.1038/s41598-018-34733-9.





The datasets accompanying the following publication can be downloaded here. Note that the Topo-Iso-corrected Curvature products have been revised in January 2019.

See also the corresponding press release from Kiel University (or its German version), the press release from ESA, or the press release from the British Antarctic Survey

 

Crustal thickness map

Szwillus, W., Afonso, J. C. C., Ebbing, J., & Mooney, W. D. ( 2019). Global crustal thickness and velocity structure from geostatistical analysis of seismic data. Journal of Geophysical Research: Solid Earth, 124, 16261652. https://doi.org/10.1029/2018JB016593





The dataset of Moho depth can be downloaded here.

 

 

Kriging Inpolated Crustal Thickness and Uncertainty Grids

This Moho was generated in framework of the 3D Earth project and will be used in forward and inverse modelling. The depth map is public available in this folder.

Click here to get access to the public 3DEarth folder. (password on request)

Below, you can find the description of the Moho.

Kriging Moho

===
Author
===
Wolfgang Szwillus, Kiel University
szwillus@geophysik.uni-kiel.de
===
Description
===
Column 1: Longitude
Column 2: Latitude
Column 3: Depth to Moho (km)
Column 4: Estimated Uncertainty of Moho depth (km)
===
Method
===
I classified the points from the GSC database as either oceanic or continental according to
the ocean floor age grid by Müller et al. (2008). Kriging was carried out for each category
completely independently.

===
References
===
Müller, R.D., M. Sdrolias, C. Gaina, and W.R. Roest 2008. Age, spreading rates and spreading
symmetry of the world's ocean crust, Geochem. Geophys. Geosyst., 9, Q04006,
doi:10.1029/2007GC001743.

 

Global curvature analysis from gravity gradient data

Global curvature analysis from gravity gradient data

Ebbing, J., Haas, P., Ferraccioli, F., Pappa, F., Szwillus, W., and Bouman, J. (2018). Earth tectonics as seen by GOCE - Enhanced satellite gravity gradient imaging. Scientific Reports. doi:10.1038/s41598-018-34733-9.





The datasets accompanying the following publication can be downloaded here. Note that the Topo-Iso-corrected Curvature products have been revised in January 2019.

See also the corresponding press release from Kiel University (or its German version), the press release from ESA, or the press release from the British Antarctic Survey


Full-size image: 435 KB | View Download


Full-size image: 358 KB | View Download


Full-size image: 358 KB | View Download