Fri Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Wu, Xiaohui, Wu, Yunlong, Xu, Chuang, Liu, Sulan, and Liu, Qi, 2026. A physically informed spatial filter for destriping GRACE time–variable gravity fields. Geophysical Journal International, 245(1):ggag048, doi:10.1093/gji/ggag048.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026GeoJI.245..048W,
author = {{Wu}, Xiaohui and {Wu}, Yunlong and {Xu}, Chuang and {Liu}, Sulan and {Liu}, Qi},
title = "{A physically informed spatial filter for destriping GRACE time-variable gravity fields}",
journal = {Geophysical Journal International},
keywords = {Global change from geodesy, Satellite geodesy, Satellite gravity, Time variable gravity, Spatial analysis},
year = 2026,
month = apr,
volume = {245},
number = {1},
eid = {ggag048},
pages = {ggag048},
abstract = "{The Gravity Recovery and Climate Experiment (GRACE) and its Follow-On
mission provide essential observations of Earth's surface mass
redistribution. However, inherent north─south striping noise in
the GRACE spherical harmonic products limits their application
at subbasin scales. To address this, we introduce a novel
spatial domain decorrelation filter, the Physical-Informed
Spatial Pattern (PISP) filter, which leverages the structured
physical characteristics of the noise for its precise
identification and removal. Comprehensive numerical experiments
validated that PISP effectively eliminates striping noise
globally and yields a consistent noise background across
latitudes, with noise reduced to a uniform level in more than 90
per cent of the months examined and with stable performance
under strong-noise conditions. In a case study of water storage
variations in Lake Victoria, PISP preserves the primary signal
amplitude and reduces the root-mean-square error relative to
reference data to 5.84 cm after spatial smoothing, outperforming
the 6.81 cm achieved by the Multivariate Variational Mode
Decomposition Spatial filter and DDK6. Furthermore, for three
earthquakes with magnitudes exceeding 8.8, PISP effectively
removes striping noise using regional masking, successfully
recovering the coseismic signal morphology. By further verifying
the method's stability across various noise scenarios, the
results demonstrate PISP's potential for future global research
integrating multisatellite gravity data.}",
doi = {10.1093/gji/ggag048},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026GeoJI.245..048W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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