A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL06
By H. Dobslaw, I. Bergmann-Wolf, R. Dill, L. Poropat, Maik Thomas, C. Dahle, S. Esselborn, Rolf König, Frank Flechtner. 2017
232 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Molecular Biology, Oceanography
View Paper: https://www.semanticscholar.org/paper/cd6483d859e5c54812b2f897f36a27bb43d79973
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- H. Save
- Srinivas V. Bettadpur
- F. Landerer
- David Wiese
- D. Yuan
- W. Bertiger
- Bryant D Loomis
- M. Watkins
In Molecular Biology
- H. Save
- David Wiese
- Bryant D Loomis
- Srinivas V. Bettadpur
- M. Watkins
- F. Landerer
- D. Yuan
- Torsten Mayer-Gürr
In Oceanography
- David Wiese
- H. Save
- Bryant D Loomis
- Srinivas V. Bettadpur
- M. Watkins
- F. Landerer
- D. Yuan
- Torsten Mayer-Gürr
Citations in the corpus
- Extending the Global Mass Change Data Record: GRACE Follow‐On Instrument and Science Data Performance (2020, background): “…SDS solves for monthly gravity field variations relative to a static background model, using forward models of submonthly variability from oceanic and solid Earth tides, atmospheric and dynamic ocean bottom pressure variations for de‐aliasing (Dobslaw et al., 2017), as well as pole tide signals.”
- ITSG‐Grace2018: Overview and Evaluation of a New GRACE‐Only Gravity Field Time Series (2019, methodology): “Nontidal atmospheric and ocean variations, as well as atmospheric tides were computed using the atmosphere and ocean dealiasing product (AOD1B RL06; Dobslaw et al., 2017).”