English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Forward Modelling of the Earth’s Topography using improved elevation and density data

Authors
/persons/resource/abrik

Abrykosov,  Oleh
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/sinem

Ince,  E. Sinem
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/foer

Förste,  C.
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/flechtne

Flechtner,  Frank
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Abrykosov, O., Ince, E. S., Förste, C., Flechtner, F. (2023): Forward Modelling of the Earth’s Topography using improved elevation and density data, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-0932


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016535
Abstract
The gravity field plays a crucial role in Earth System Sciences. Currently available static global gravity field models are limited in resolution due to the band-limited spectral content of the input data from satellite observations and gravity measurements on the Earth’s surface. Such models are complemented beyond their current limits using high-resolution digital elevation models (DEMs) and density estimates. At GFZ, we are interested in developing such high-resolution topographic models to enhance the representation of static global gravity field models such as EIGEN-6C4. Our preliminary study expanded the model representation of EIGEN-6C4 up to d/o 5400 using Earth2014 and four density values estimated for rock, ocean, lake and ice. Moreover, we tested the impact of different shell thicknesses to the numerical stability and computation time. Current study is a continuation of our previous activities and summarises the first results of a DFG project GRAV4GEO (GRAVitational field modelling of Earth’s topography For GEOdetic and GEOphysical applications). We aim to improve the performance of our preliminary model ROLI_EllApprox_SphN_3660 further via introducing improved DEM and laterally varying density estimations and optimized methodology. Our preferred DEM model will be a product of combined solutions from TanDEM-X 90 m and other state-of-the-art DEM models developed/improved recently. Moreover, we aim to introduce a 3D density estimation globally. The new model is expected to enhance our preliminary model and contribute to the accurate representation of very high-resolution static global gravity field modelling.