• Sorted by Date • Sorted by Last Name of First Author •
Buzzanga, Brett, Hamlington, Ben, Fasullo, John, Landerer, Felix, and Peidou, Athina, 2025. Interdecadal variability of terrestrial water storage since 2003. Communications Earth and Environment, 6(1):246, doi:10.1038/s43247-025-02203-6.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025ComEE...6..246B,
author = {{Buzzanga}, Brett and {Hamlington}, Ben and {Fasullo}, John and {Landerer}, Felix and {Peidou}, Athina},
title = "{Interdecadal variability of terrestrial water storage since 2003}",
journal = {Communications Earth and Environment},
keywords = {Earth Sciences, Physical Geography and Environmental Geoscience},
year = 2025,
month = mar,
volume = {6},
number = {1},
eid = {246},
pages = {246},
abstract = "{Earth's water cycle is changing due to anthropogenic forcing and
internal variations in the climate system. These changes are
leading to an intensification of the water cycle that manifests
as more frequent and stronger droughts in some areas, and
pluvials in others. The resulting impacts on terrestrial water
storage can be crucial for water availability. However, current
understanding is hampered by limitations in observations and
models, and the variety of processes that influence terrestrial
water storage across temporal scales. Here, we leverage the now
two-decades long satellite record from the Gravity Recovery and
Climate Experiment and subsequent Follow-On missions to
investigate persistent trends in the presence of internal
variability. We use cyclostationary empirical orthogonal
function analysis to uncover statistical modes of variability
that help explain a shift in decadal terrestrial water storage
trends that occurred around 2012. The dominant statistical mode
suggests an interdecadal periodicity that is also found in the
precipitation record. The second leading mode is highly
correlated with the Pacific Decadal Oscillation. Isolating these
modes points to regions where the magnitude of the terrestrial
water storage trend may flatten or reverse in coming decades due
to internal climate variability and reduces uncertainty in
multidecadal linear trends.}",
doi = {10.1038/s43247-025-02203-6},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025ComEE...6..246B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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