• Sorted by Date • Sorted by Last Name of First Author •
Libero, G. and Ciriello, V., 2025. Dominant spatiotemporal structures in total water storage anomalies. Advances in Water Resources, 203:105015, doi:10.1016/j.advwatres.2025.105015.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025AdWR..20305015L,
author = {{Libero}, G. and {Ciriello}, V.},
title = "{Dominant spatiotemporal structures in total water storage anomalies}",
journal = {Advances in Water Resources},
keywords = {GRACE data, Dynamic mode decomposition, Reduced-order model, Hydrology, Dynamic process, Time series},
year = 2025,
month = sep,
volume = {203},
eid = {105015},
pages = {105015},
abstract = "{This study employs Dynamic Mode Decomposition (DMD) to derive a global-
scale linear model for the temporal evolution of Total Water
Storage Anomaly (TWSA) measured by GRACE satellite missions,
with the goal of extracting and analyzing the dominant
spatiotemporal structures governing TWSA variability. Our
analysis differentiates modes associated with a periodic dynamic
{\textendash} linked to precipitation-driven seasonal cycles and
multi-year variations {\textendash} from those incorporating
trend effects indicating, on average, a progressive TWSA
decline. Focusing on the latter, we examine patterns associated
with extreme TWSA values and their intensification over time. In
regions experiencing significant TWSA changes over the past
decade, DMD effectively distinguishes natural variability from
trends, aligning with previous findings that identify climate
change and human impact effects in the same regions. This study
underscores DMD's potential in capturing essential hydrological
dynamics in data, thus supporting the interpretation of these
dynamics at the scale of the analysis.}",
doi = {10.1016/j.advwatres.2025.105015},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025AdWR..20305015L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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