Articles | Volume 13, issue 1
https://doi.org/10.5194/essd-13-99-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-99-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
GOCO06s – a satellite-only global gravity field model
Institute of Geodesy, Graz University of Technology,
Steyrergasse 30/III, 8010 Graz, Austria
Jan Martin Brockmann
Institute of Geodesy and Geoinformation, University of Bonn,
Nußallee 17, 53115 Bonn, Germany
Sandro Krauss
Institute of Geodesy, Graz University of Technology,
Steyrergasse 30/III, 8010 Graz, Austria
Austrian Academy of Sciences, Space Research Institute, Schmiedlstraße 6, 8042 Graz, Austria
Till Schubert
Institute of Geodesy and Geoinformation, University of Bonn,
Nußallee 17, 53115 Bonn, Germany
Thomas Gruber
Astronomical and Physical Geodesy,
Technical University of Munich, Arcisstraße 21, 80333 Munich, Germany
Ulrich Meyer
Astronomical Institute, University of Bern,
Sidlerstrasse 5, 3012 Bern, Switzerland
Torsten Mayer-Gürr
Institute of Geodesy, Graz University of Technology,
Steyrergasse 30/III, 8010 Graz, Austria
Wolf-Dieter Schuh
Institute of Geodesy and Geoinformation, University of Bonn,
Nußallee 17, 53115 Bonn, Germany
Adrian Jäggi
Astronomical Institute, University of Bern,
Sidlerstrasse 5, 3012 Bern, Switzerland
Roland Pail
Astronomical and Physical Geodesy,
Technical University of Munich, Arcisstraße 21, 80333 Munich, Germany
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- Residual Patterns in GRACE Follow-On Laser Ranging Interferometry Post-Fit Range Rate Residuals M. Duwe et al. 10.1016/j.asr.2024.03.035
- Mapping the Thermal Structure of the Amazon Craton to Constrain the Tectonic Domains R. Correa et al. 10.1029/2021JB023025
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- Tracking the spatial patterns and thematic dynamics of GRACE satellite application over the last 20 years (2002–2022) H. Zhang 10.3389/feart.2024.1392359
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- Contribution Analysis of GOCE SGG Observations at Different Orbital Altitudes to Tongji-GMMG2021S Gravity Field Model J. Chen et al. 10.1109/JSTARS.2024.3441554
- An Improved Average Acceleration Approach of Modelling Earth Gravity Field Based on K-Band Range-Rate Observations X. Tan et al. 10.3390/rs16173172
- Total water level prediction at continental scale: Coastal ocean L. Cui et al. 10.1016/j.ocemod.2024.102451
- Evaluating long-term water storage trends in small catchments and aquifers from a joint inversion of 20 years of GRACE/GRACE-FO mission data A. Kvas et al. 10.1093/gji/ggad468
- Contribution analysis of the addition of laser ranging interferometry on GRACE-FO gravity field estimation under different accelerometer calibration schemes Q. Chen et al. 10.1016/j.asr.2024.10.038
- Combination of different observation types through a multi-resolution representation of the regional gravity field using the pyramid algorithm and parameter estimation Q. Liu et al. 10.1007/s00190-022-01670-5
- A Science Gateway for the Repeatable Analysis of Machine Learning Predicted Gravity Anomalies J. Arndt et al. 10.1109/LGRS.2024.3441322
- Geoid Studies in Two Test Areas in Greece Using Different Geopotential Models towards the Estimation of a Reference Geopotential Value V. Grigoriadis et al. 10.3390/rs15174282
- Reprocessed precise science orbits and gravity field recovery for the entire GOCE mission D. Arnold et al. 10.1007/s00190-023-01752-y
- Tailored accelerometer calibration by POD for thermospheric density retrieval with GRACE and GRACE-FO F. Wöske et al. 10.1016/j.asr.2024.09.021
- Tectonic and metallogenic implications of a metasomatized mantle inferred from magnetotellurics and gravity data: An example of Tapajós Mineral Province, Amazon Craton R. Correa et al. 10.1016/j.tecto.2023.230099
- Impacts of temporal resolution of atmospheric de-aliasing products on gravity field estimation Y. Bai et al. 10.1093/gji/ggae125
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Latest update: 20 Nov 2024
Short summary
Earth's gravity field provides invaluable insights into the state and changing nature of our planet. GOCO06s combines over 1 billion measurements from 19 satellites to produce a global gravity field model. The combination of different observation principles allows us to exploit the strengths of each satellite mission and provide a high-quality data set for Earth and climate sciences.
Earth's gravity field provides invaluable insights into the state and changing nature of our...
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