Optimizing estimates of annual variations and trends in geocenter motion and J2 from a combination of GRACE data and geophysical models

By Yu Sun, R. Riva, P. Ditmar. 2016

268 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Molecular Biology, Oceanography

View Paper: https://www.semanticscholar.org/paper/6a8aa2682c311974c8b1c53859057ac7499dcb0c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

1. Bryant D Loomis
2. David Wiese
3. M. Watkins
4. H. Save
5. Srinivas V. Bettadpur
6. D. Yuan
7. F. Landerer
8. W. Bertiger

In Molecular Biology

1. H. Save
2. David Wiese
3. Bryant D Loomis
4. Srinivas V. Bettadpur
5. M. Watkins
6. F. Landerer
7. D. Yuan
8. W. Bertiger

In Oceanography

1. David Wiese
2. H. Save
3. Bryant D Loomis
4. Srinivas V. Bettadpur
5. M. Watkins
6. F. Landerer
7. D. Yuan
8. Frank Flechtner

Citations in the corpus

• Extending the Global Mass Change Data Record: GRACE Follow‐On Instrument and Science Data Performance (2020, methodology): “Geocenter gravity coefficients, required for the surface mass change estimates, are provided for each SDS solution in Technical Note 13 (TN‐13; Sun et al., 2016).”