Mon Feb 16, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Tang, Miao, Han, Shin–Chan, Yuan, Linguo, Yang, Xinghai, Yeo, In–Young, Rodell, Matthew, Li, Bailing, Lee, Eunjee, and Jiang, Zhongshan, 2025. Mass Change Index for Characterizing Hydrological Extremes Every Few Days From Satellite Gravity Measurements. Water Resources Research, 61(12):e2025WR040534, doi:10.1029/2025WR040534.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025WRR....6140534T,
author = {{Tang}, Miao and {Han}, Shin-Chan and {Yuan}, Linguo and {Yang}, Xinghai and {Yeo}, In-Young and {Rodell}, Matthew and {Li}, Bailing and {Lee}, Eunjee and {Jiang}, Zhongshan},
title = "{Mass Change Index for Characterizing Hydrological Extremes Every Few Days From Satellite Gravity Measurements}",
journal = {Water Resources Research},
keywords = {satellite gravimetry, mass change, hydrological indices, hydrological extremes},
year = 2025,
month = dec,
volume = {61},
number = {12},
eid = {e2025WR040534},
pages = {e2025WR040534},
abstract = "{We introduce a new hydrological index that enables assessment of extreme
events every few days from the GRACE Follow-On (GRACE-FO)
satellite mission. The Mass Change Index (MCI) was developed by
standardizing instantaneous satellite gravity anomalies computed
directly from orbit perturbations. It is based on hydrology-
related gravity change, namely, total water storage change, and
thus equally sensitive to wet and dry anomalies. The key
innovation of MCI is its sensitivity to instantaneous mass
changes as opposed to monthly mean changes. GRACE-FO's ground
track permits MCI retrievals every 5─6 days in most low and mid
latitude regions. We demonstrate the application of MCI to
investigate hydrological extremes in the middle-lower Yangtze
River Basin (MLYRB). MCI detects extreme wet conditions
(standardized index of 2.0─3.0) along the Yangtze River
mainstream related to the catastrophic flood in 2020, consistent
with daily streamflow observations. In contrast, a typical
GRACE-FO based monthly drought index significantly
underestimates the severity of the event and misidentifies
timing of the onset. MCI also detects extreme dry conditions
({\ensuremath{-}}2.0 to {\ensuremath{-}}2.5) prevailing within
MLYRB, related to the unprecedented heatwave and drought event
during the summer of 2022. A streamflow index and the monthly
drought index both underestimate the severity of the event. MCI
retains information in intersatellite range measurements that
may be lost when processing monthly gravity solutions. It can
also be processed more rapidly, increasing its potential value
for hydrological monitoring systems and other operational
applications.}",
doi = {10.1029/2025WR040534},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025WRR....6140534T},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Feb 16, F. Flechtner