Thu Aug 14, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Li, Hao-si, Yi, Shuang, Han, Shin-Chan, and Tang, He, 2025. Daily Regional Gravity Field Estimation Using GRACE Follow-On Line-of-Sight Gravity Differences. Journal of Geophysical Research (Solid Earth), 130(5):e2024JB030089, doi:10.1029/2024JB030089.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025JGRB..13030089L,
author = {{Li}, Hao-si and {Yi}, Shuang and {Han}, Shin-Chan and {Tang}, He},
title = "{Daily Regional Gravity Field Estimation Using GRACE Follow-On Line-of-Sight Gravity Differences}",
journal = {Journal of Geophysical Research (Solid Earth)},
keywords = {GRACE follow-on, line-of-sight gravity difference, daily estimation, missing data imputation},
year = 2025,
month = may,
volume = {130},
number = {5},
eid = {e2024JB030089},
pages = {e2024JB030089},
abstract = "{As a complement to the conventional monthly global solutions by Gravity
Recovery and Climate Experiment series of gravimetric
satellites, this study proposes an alternative method for
estimating daily regional gravity field by utilizing the orbital
Line-of-Sight Gravity Difference. The method is based on Slepian
and B-spline basis functions for spatial and temporal
parameterizations, respectively. Such parameterization of
regional gravity field can be used to estimate total water
storage change in a way compatible with surface mass estimation
previously designed in the framework of global gravity field
determination. The formal uncertainty of daily mass changes
recovery is {\ensuremath{\sim}}5 Gt, equivalent to
{\ensuremath{\sim}}3 cm of equivalent water height over
{}400$^{2}$ km$^{2}$. In the evaluation part, the method is
applied to the 2020 Bangladesh flood and the 2021 Australian
flood. Our approach demonstrates strong agreement with the
previous mascon-based studies, yielding Nash-Sutcliffe
Efficiency values exceeding 0.81, and capturing the onset and
recession of the flooding events. Additionally, we investigate
the impact of data gaps, occasionally occur in the space-borne
missions employing intersatellite laser ranging system. Our
findings indicate that the B-spline parameterization effectively
determines surface mass changes even with missing data rates up
to 20\% or with gap lengths no longer than 2 days, highlighting
its reliability for continuous monitoring in challenging
observational scenarios. By providing a new methodological
framework for daily-scale monitoring from satellite gravimetry,
this work advances our understanding of the rapid evolution of
climate extremes, which will ultimately facilitate future
disaster monitoring and adaption efforts.}",
doi = {10.1029/2024JB030089},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025JGRB..13030089L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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