Thu Dec 12, F.Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Libero, G., Ciriello, V., and Tartakovsky, D. M., 2024. Dynamic mode decomposition of GRACE satellite data. Advances in Water Resources, 193:104834, doi:10.1016/j.advwatres.2024.104834.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024AdWR..19304834L,
author = {{Libero}, G. and {Ciriello}, V. and {Tartakovsky}, D.~M.},
title = "{Dynamic mode decomposition of GRACE satellite data}",
journal = {Advances in Water Resources},
keywords = {GRACE data, Dynamic mode decomposition, Reduced-order model, Hydrology, Dynamic process, Time series},
year = 2024,
month = nov,
volume = {193},
eid = {104834},
pages = {104834},
abstract = "{Advancements in satellite technology yield environmental data with ever
improving spatial coverage and temporal resolution. This
necessitates the development of techniques to discern actionable
information from large amounts of such data. We explore the
potential of dynamic mode decomposition (DMD) to discover the
dynamics of spatially correlated structures present in global-
scale data, specifically in observations of total water storage
anomalies provided by GRACE satellite missions. Our results
demonstrate that DMD enables data compression and extrapolation
from a reduced set of dominant spatiotemporal structures. The
accuracy of its predictions of global system dynamics is
preserved in its reconstruction of local time series. These
findings suggest potential uses of DMD in analysis of remote-
sensing data for hydrologic applications.}",
doi = {10.1016/j.advwatres.2024.104834},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024AdWR..19304834L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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