Thu Oct 08, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Wu, Haotian, Ran, Jiangjun, Tangdamrongsub, Natthachet, and Zhong, Yulong, 2026. High–spatiotemporal–resolution GRACE(–FO)–constrained terrestrial water storage reconstruction captures the hydrological footprints of successive typhoons in southern mainland China. Journal of Hydrology, 679:136373, doi:10.1016/j.jhydrol.2026.136373.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026JHyd..67936373W,
author = {{Wu}, Haotian and {Ran}, Jiangjun and {Tangdamrongsub}, Natthachet and {Zhong}, Yulong},
title = "{High-spatiotemporal-resolution GRACE(-FO)-constrained terrestrial water storage reconstruction captures the hydrological footprints of successive typhoons in southern mainland China}",
journal = {Journal of Hydrology},
keywords = {GRACE, Typhoon, Downscaling, Reconstruction, XGBoost, Pearl River Basin},
year = 2026,
month = oct,
volume = {679},
eid = {136373},
pages = {136373},
abstract = "{The southern coastal region of mainland China faces persistent typhoon-
related hydrological hazards, highlighting the need to monitor
rapid variations in terrestrial water storage during extreme
precipitation events. Satellite gravity missions provide
observations of large-scale mass redistribution, but their
coarse effective spatiotemporal resolution limits their ability
to resolve short-lived, localized hydrological responses to
typhoons. This study proposes a cascading framework that
combines empirical-statistical reconstruction with machine-
learning downscaling of reconstruction parameters to generate a
climate-driven terrestrial water storage anomaly (TWSA)
reconstruction at high spatiotemporal resolution. First, an
improved empirical-statistical reconstruction model was
calibrated against monthly GRACE(-FO) observations and used to
reconstruct daily TWSA from precipitation and temperature data.
Subsequently, the model parameters were spatially downscaled
using XGBoost with climatic, topographic, soil, and vegetation
predictors. The downscaled parameters were then reintroduced
into the reconstruction model to generate daily TWSA at
0.1{\textdegree} spatial resolution. Cross-product comparisons
with GRACE(-FO)-based products and estimates from land surface
models showed overall consistency. Application of the framework
in the Pearl River Basin during four successive typhoons in 2023
revealed distinct patterns in the reconstructed TWSA responses.
During sustained post-landfall rainfall associated with Typhoon
Haikui, reconstructed TWSA increased further to annual maxima
across all four coastal sub-regions. The Pearl River Delta
showed the largest increase, reaching 6.72 cm above the pre-
typhoon baseline. These findings characterize cumulative and
regionally heterogeneous reconstructed TWSA variations during
successive typhoon events. The resulting dataset provides fine-
scale information for characterizing extreme hydrological events
and extends the utility of satellite gravity observations for
studying rapid hydrological responses.}",
doi = {10.1016/j.jhydrol.2026.136373},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..67936373W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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GRACE-FO
Thu Oct 08, F. Flechtner