• Sorted by Date • Sorted by Last Name of First Author •
Kim, Jae-Seung, Seo, Ki-Weon, Chen, Jianli, and Wilson, Clark, 2022. Uncertainty in GRACE/GRACE-follow on global ocean mass change estimates due to mis-modeled glacial isostatic adjustment and geocenter motion. Scientific Reports, 12:6617, doi:10.1038/s41598-022-10628-8.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2022NatSR..12.6617K,
author = {{Kim}, Jae-Seung and {Seo}, Ki-Weon and {Chen}, Jianli and {Wilson}, Clark},
title = "{Uncertainty in GRACE/GRACE-follow on global ocean mass change estimates due to mis-modeled glacial isostatic adjustment and geocenter motion}",
journal = {Scientific Reports},
year = 2022,
month = apr,
volume = {12},
eid = {6617},
pages = {6617},
abstract = "{Global mean sea level has increased about 3 mm/yr over several decades
due to increases in ocean mass and changes in sea water density.
Ocean mass, accounting for about two-thirds of the increase, can
be directly measured by the Gravity Recovery and Climate
Experiment (GRACE) and GRACE Follow-On (GFO) satellites. An
independent measure is obtained by combining satellite altimetry
(measuring total sea level change) and Argo float data
(measuring steric changes associated with sea water density).
Many previous studies have reported that the two estimates of
global mean ocean mass (GMOM) change are in good agreement
within stated confidence intervals. Recently, particularly since
2016, estimates by the two methods have diverged. A partial
explanation appears to be a spurious variation in steric sea
level data. An additional contributor may be deficiencies in
Glacial Isostatic Adjustment (GIA) corrections and degree-1
spherical harmonic (SH) coefficients. We found that erroneous
corrections for GIA contaminate GRACE/GFO estimates as time goes
forward. Errors in GIA corrections affect degree-1 SH
coefficients, and degree-1 errors may also be associated with
ocean dynamics. Poor estimates of degree-1 SH coefficients are
likely an important source of discrepancies in the two methods
of estimating GMOM change.}",
doi = {10.1038/s41598-022-10628-8},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022NatSR..12.6617K},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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