• Sorted by Date • Sorted by Last Name of First Author •
Middendorf, Klara, Jensen, Laura, Schlaak, Marius, Haas, Julian, Dobslaw, Henryk, Pail, Roland, Güntner, Andreas, and Eicker, Annette, 2026. Benefits of future satellite gravimetry missions for characterizing extreme wet events in terrestrial water storage. Advances in Space Research, 78(6):5580–5594, doi:10.1016/j.asr.2026.07.075.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2026AdSpR..78.5580M,
author = {{Middendorf}, Klara and {Jensen}, Laura and {Schlaak}, Marius and {Haas}, Julian and {Dobslaw}, Henryk and {Pail}, Roland and {G{\"u}ntner}, Andreas and {Eicker}, Annette},
title = "{Benefits of future satellite gravimetry missions for characterizing extreme wet events in terrestrial water storage}",
journal = {Advances in Space Research},
keywords = {Satellite gravimetry, GRACE-C, NGGM/MAGIC, Wet extreme event detection},
year = 2026,
month = sep,
volume = {78},
number = {6},
pages = {5580-5594},
abstract = "{50 years-long closed loop simulations of the future satellite gravimetry
missions GRACE-C and NGGM/MAGIC are used in this study to
rigorously assess the abilities of these upcoming missions to
track wet extreme events from space on a global scale. The
simulations are based on modeled terrestrial water storage
variations from a GFDL-CM4 climate model run that took part in
CMIP6. In addition to nominal monthly gravity field solutions,
experimental 5-daily solutions were processed for both missions.
Besides offering the ability to study return levels of extreme
events in a statistical sense, the simulations also offer the
opportunity to test the proper identification of various
naturally occurring wet extremes with varying magnitude,
location, as well as temporal and spatial extent. While the
double pair constellation MAGIC always outperforms GRACE-C in
any metric tested, we note that the 5-daily MAGIC solution is
found to be advantageous over its monthly solution for the
estimation of statistical return levels of wet extremes, but not
with respect to the identification of individual wet extreme
events as measured by recall, precision, and F1-score. Reasons
for the inferior performance of the 5-daily solutions are
spatial leakage, residual noise, and adverse effects from a sub-
optimal combination of data from the polar and inclined pair
that manifest as artifacts polewards of 70{\textdegree}. Our
results therefore call for further refinements in the MAGIC
processing schemes to further optimize in particular the novel
5-daily solutions so that the added-value of those sub-monthly
products can be fully exploited.}",
doi = {10.1016/j.asr.2026.07.075},
adsurl = {https://ui.adsabs.harvard.edu/abs/2026AdSpR..78.5580M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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