Fri Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Bonin, Jennifer A., Pie, Nadege, Chambers, Don, Tamisiea, Mark E., and Save, Himanshu, 2026. Detection and Modeling of the Effect of Large Earthquakes in GRACE/GRACE–FO Mascons. Earth and Space Science, 13(3):e2025EA004219, doi:10.1029/2025EA004219.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026ES...1304219B,
author = {{Bonin}, Jennifer A. and {Pie}, Nadege and {Chambers}, Don and {Tamisiea}, Mark E. and {Save}, Himanshu},
title = "{Detection and Modeling of the Effect of Large Earthquakes in GRACE/GRACE-FO Mascons}",
journal = {Earth and Space Science},
keywords = {GRACE gravity, earthquake, earthquake model, GRACE mascons},
year = 2026,
month = mar,
volume = {13},
number = {3},
eid = {e2025EA004219},
pages = {e2025EA004219},
abstract = "{The usefulness of Gravity Recovery and Climate Experiment (GRACE) and
GRACE Follow-On (GRACE/FO) data products for ocean studies
remains limited in a few areas, where large gravity signals from
the 2011 Japan earthquake and three major earthquakes in the
Andaman-Sumatra area (in 2004, 2007, and 2012) obscure vastly
smaller signals of interest related to ocean dynamics.
Furthermore, these earthquake effects can not be simply removed
from the GRACE/FO products via a model during post-processing,
due to the loosening of constraints needed to allow the signal
into current GRACE/FO products. Here, we create a multi-
earthquake empirical model from GRACE/GRACE-Follow On data,
estimating the equivalent water thickness changes as seen in the
Center for Space Research (CSR) mascons due to the four major
earthquakes mentioned. An iterative principal component analysis
was used to compute piecewise linear approximations of the
signals in these regions, which describe the co-seismic bias
changes during the known month of each earthquake as well as
post-seismic trends in local mass after/between quakes. This
model is then applied as part of the estimation background field
during a new iteration of CSR mascon processing designed for
oceanic use, using tightened regularization to reduce noise in
the near-earthquake regions. By removing the CSR-derived
earthquake model and reducing month-to-month variability via the
new regularization, we have reduced the GRACE/FO RMS in ocean
mascons near the quake epicenters from more than 50 cm to under
5 cm, comparable to ocean mascon signals elsewhere. The
resulting mascon series is more suitable for oceanic studies
near Japan and Andaman Bay.}",
doi = {10.1029/2025EA004219},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026E&SS...1304219B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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