Mon Oct 13, F. Flechtner
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Nastula, Jolanta, Sliwinska-Bronowicz, Justyna, and Winska, Ma&lstrokgorzata, 2025. Harnessing C$_21$ and S$_21$ coefficients from GRACE and hybrid solutions for comprehensive analysis of polar motion excitation. Journal of Geodesy, 99(6):48, doi:10.1007/s00190-025-01969-z.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025JGeod..99...48N,
author = {{Nastula}, Jolanta and {{\'S}liwi{\'n}ska-Bronowicz}, Justyna and {Wi{\'n}ska}, Ma{\l}gorzata},
title = "{Harnessing C$_{21}$ and S$_{21}$ coefficients from GRACE and hybrid solutions for comprehensive analysis of polar motion excitation}",
journal = {Journal of Geodesy},
keywords = {GRACE, GRACE-FO, SLR, Hybrid, Polar motion excitation},
year = 2025,
month = jun,
volume = {99},
number = {6},
eid = {48},
pages = {48},
abstract = "{Hydrological angular momentum (HAM) is used to quantify the influence of
mass changes in the continental hydrosphere on variations in
polar motion. It has important applications in interpreting the
connections between Earth system phenomena and perturbations in
the rotation of the planet. In this study we analyse HAM series
computed from various Gravity Recovery and Climate Experiment
(GRACE) and GRACE Follow-On (GRACE-FO) solutions as well as from
hybrid data based on satellite laser ranging (SLR) and a
combination of GRACE/GRACE-FO and SLR. After decomposing the
overall HAM time series into seasonal, non-seasonal short-term,
and non-seasonal long-term variations, we evaluate them using
hydrological signal in geodetically observed polar motion
excitation (GAO) as a reference. The analyses are performed for
two periods: (1) the period of highest quality of GRACE
measurements and (2) the whole period of GRACE and GRACE-FO
activity. We demonstrated a high level of correlation (equal to
0.8 and higher) between GAO and all HAM series for non-seasonal
long-term variations. For these variations, as well as for
seasonal oscillations, the use of both single GRACE/GRACE-FO
solutions and combined solutions achieve a similar level of
agreement with GAO. The use of hybrid data improves this
agreement for non-seasonal short-term variations.}",
doi = {10.1007/s00190-025-01969-z},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025JGeod..99...48N},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Oct 13, F. Flechtner