Mon Dec 15, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Zhong, Bo, Xu, Hongyi, Li, Xianpao, Chen, Jianli, and Liu, Renli, 2025. An improved Kalman filtering method for recovering weekly regional surface mass variations from GRACE-based geopotential differences. International Journal of Remote Sensing, 46(20):7749–7779, doi:10.1080/01431161.2025.2559422.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025IJRS...46.7749Z,
author = {{Zhong}, Bo and {Xu}, Hongyi and {Li}, Xianpao and {Chen}, Jianli and {Liu}, Renli},
title = "{An improved Kalman filtering method for recovering weekly regional surface mass variations from GRACE-based geopotential differences}",
journal = {International Journal of Remote Sensing},
keywords = {Regional surface mass variation, GRACE-based geopotential difference, improved Kalman filtering, weekly time scale, amazon river basin},
year = 2025,
month = oct,
volume = {46},
number = {20},
pages = {7749-7779},
abstract = "{We introduce an improved Kalman filtering (i.e. the Affine
transformation based Kalman filtering, named Aff-Kalman
filtering) into the regional Mascon inversion model to recover
reliable weekly surface mass variation (SMV) over the Amazon
River basin from the Gravity Recovery and Climate Experiment
(GRACE)-based geopotential difference (GPD) data. The
performance of Aff-Kalman filtering was validated through
closed-loop simulation and comparative analyses against official
spherical harmonic coefficient (SHC) and Mascon solutions and
independent hydro-meteorological datasets. The simulation
results demonstrate that the weekly SMVs from Aff-Kalman
filtering have better consistency with input 'real' signals than
those from traditional Kalman filtering and GPD Mascon
estimates, and the corresponding determination coefficient
(R$^{2}$) increased by 3.2\% and 2.9\%, root mean square error
(RMSE) decreased by 24.97 mm and 13.81 mm, and mean absolute
percentage error (MAPE) decreased by 2.82\% and 0.39\%,
respectively. Additionally, the weekly and monthly SMVs derived
from Aff-Kalman filtering exhibit strong consistency with
official weekly GFZ SHC and monthly CSR Mascon solutions in the
spatio-temporal domains. Meanwhile, the weekly RMSE between the
Aff-Kalman filtering and GFZ SHC solutions (29.73 mm) is smaller
than that between the GPD Mascon and GFZ SHC solutions (34.85
mm). Furthermore, the first-order difference of terrestrial
water storage changes (i.e. dS/dt) derived from Aff-Kalman
filtering present better consistency (i.e. higher correlation
and lower RMSE) with P-ET-R time series (derived from
precipitation-P, evapotranspiration-ET and runoff-R based on the
water budget closure) than those of GFZ SHC, CSR Mascon, and GPD
Mascon solutions from weekly to monthly scales. For the monthly
solutions, the corresponding R$^{2}$ and RMSE values are 0.843
and 29.577 mm/month (Aff-Kalman filtering), 0.839 and 30.154
mm/month (CSR Mascon), and 0.842 and 30.216 mm/month (GPD
Mascon) on the temporal scale, respectively. Our inversion
method provides an alternative tool for estimating reliable
regional SMVs with higher temporal resolution from GRACE data.}",
doi = {10.1080/01431161.2025.2559422},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025IJRS...46.7749Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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