Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
He, Meilin, Chen, Tao, Pan, Yuanjin, Zhou, Lv, Lv, Yifei, and Zhao, Lewen, 2025. Seasonal and Interannual Variations in Hydrological Dynamics of the Amazon Basin: Insights from Geodetic Observations. Remote Sensing, 17(15):2739, doi:10.3390/rs17152739.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.2739H,
author = {{He}, Meilin and {Chen}, Tao and {Pan}, Yuanjin and {Zhou}, Lv and {Lv}, Yifei and {Zhao}, Lewen},
title = "{Seasonal and Interannual Variations in Hydrological Dynamics of the Amazon Basin: Insights from Geodetic Observations}",
journal = {Remote Sensing},
keywords = {Amazon basin, GNSS and GRACE/GRACE-FO, terrestrial water storage, loading deformation, interannual variations, El Ni{\~n}o/Southern Oscillation},
year = 2025,
month = aug,
volume = {17},
number = {15},
eid = {2739},
pages = {2739},
abstract = "{The Amazon Basin plays a crucial role in the global hydrological cycle,
where seasonal and interannual variations in terrestrial water
storage (TWS) are essential for understanding
climate{\textendash}hydrology coupling mechanisms. This study
utilizes data from the Gravity Recovery and Climate Experiment
(GRACE) satellite mission and its follow-on mission (GRACE-FO,
collectively referred to as GRACE) to investigate the
spatiotemporal dynamics of hydrological mass changes in the
Amazon Basin from 2002 to 2021. Results reveal pronounced
spatial heterogeneity in the annual amplitude of TWS, exceeding
65 cm near the Amazon River and decreasing to less than 25 cm in
peripheral mountainous regions. This distribution likely
reflects the interplay between precipitation and topography.
Vertical displacement measurements from the Global Navigation
Satellite System (GNSS) show strong correlations with GRACE-
derived hydrological load deformation (mean Pearson correlation
coefficient = 0.72) and reduce its root mean square (RMS) by
35\%. Furthermore, the study demonstrates that existing
hydrological models, which neglect groundwater dynamics,
underestimate hydrological load deformation. Principal component
analysis (PCA) of the Amazon GNSS network demonstrates that the
first principal component (PC) of GNSS vertical displacement
aligns with abrupt interannual TWS fluctuations identified by
GRACE during 2010{\textendash}2011, 2011{\textendash}2012,
2013{\textendash}2014, 2015{\textendash}2016, and
2020{\textendash}2021. These fluctuations coincide with extreme
precipitation events associated with the El
Ni{\~n}o{\textendash}Southern Oscillation (ENSO), confirming
that ENSO modulates basin-scale interannual hydrological
variability primarily through precipitation anomalies. This
study provides new insights for predicting extreme hydrological
events under climate warming and offers a methodological
framework applicable to other critical global hydrological
regions.}",
doi = {10.3390/rs17152739},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.2739H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Oct 13, F. Flechtner