• Sorted by Date • Sorted by Last Name of First Author •
Romeshkani, Mohsen, Müller, Jürgen, Ebadi, Sahar, Knabe, Annike, and Schilling, Manuel, 2026. Accelerometer Data Transplant for Future Satellite Gravimetry. Earth and Space Science, 13(1):e2025EA004417, doi:10.1029/2025EA00441710.22541/essoar.174585025.56008616/v1.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026ESS...1304417R,
author = {{Romeshkani}, Mohsen and {M{\"u}ller}, J{\"u}rgen and {Ebadi}, Sahar and {Knabe}, Annike and {Schilling}, Manuel},
title = "{Accelerometer Data Transplant for Future Satellite Gravimetry}",
journal = {Earth and Space Science},
keywords = {gravity field, quantum accelerometer, cold atom interferometer (CAI), GRACE, data transplant},
year = 2026,
month = jan,
volume = {13},
number = {1},
eid = {e2025EA004417},
pages = {e2025EA004417},
abstract = "{Accurate monitoring of the Earth's gravity field is crucial for
understanding mass redistribution processes related to climate
change, hydrology, and geodynamics. The Gravity Recovery and
Climate Experiment (GRACE) and its successor, GRACE Follow-On
(GRACE-FO), have provided invaluable satellite gravimetry data
through low-low satellite-to-satellite tracking (LL-SST).
However, the precision of gravity field recovery is
significantly affected not only by data gaps in the
accelerometer (ACC) measurements, but also by potential failures
or limitations in their performance. To mitigate these issues,
accelerometer data transplantation has been employed, leveraging
the similarity in non-gravitational accelerations experienced by
both satellites. This study presents an in-depth assessment of
transplant noise and evaluates advanced accelerometer
configurations, including Cold Atom Interferometry (CAI)
accelerometers and hybrid electrostatic-quantum accelerometer
setups for future satellite gravimetry missions. Through closed-
loop LL-SST simulations, we compare four different accelerometer
configurations, ranging from conventional electrostatic
accelerometers (EAs) to fully hybrid CAI-EA setups. Results
indicate that a dual hybrid accelerometer configuration offers
the highest accuracy in gravity field recovery, while a
transplant-based hybrid approach significantly enhances the
performance of non-gravitational force modeling without
requiring additional instrumentation. The findings underscore
the potential of quantum accelerometery and transplant
methodologies for future satellite gravimetry missions, offering
a cost-effective solution to improve gravity field recovery,
while benefitting from new sensor types.}",
doi = {10.1029/2025EA00441710.22541/essoar.174585025.56008616/v1},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026E&SS...1304417R},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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