Thu Aug 14, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Li, Yang, Guo, Jinyun, Sun, Yu, Zhou, Jiangcun, and Sun, Heping, 2025. Investigating the closures of sea level budgets in China's adjacent seas. Scientific Reports, 15(1):23224, doi:10.1038/s41598-025-06214-3.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025NatSR..1523224L,
author = {{Li}, Yang and {Guo}, Jinyun and {Sun}, Yu and {Zhou}, Jiangcun and {Sun}, Heping},
title = "{Investigating the closures of sea level budgets in China's adjacent seas}",
journal = {Scientific Reports},
keywords = {Regional sea level budget, Sea level fingerprints, Steric, GRACE, Earth Sciences, Physical Geography and Environmental Geoscience},
year = 2025,
month = jul,
volume = {15},
number = {1},
eid = {23224},
pages = {23224},
abstract = "{Regional relative sea level changes are most relevant for coastal
communities and remain challenging to understand. China's
adjacent seas are among the world's most vulnerable regions to
sea level rise. This paper investigates the sea level budgets in
China's adjacent seas over the past 20 years. We use multiple
time-varying gravity field data and steric data to assess the
uncertainties of some components in the sea level budget and the
contributions of mass loss from ice sheets, glaciers, and
terrestrial water storage changes to regional relative sea level
changes were estimated using sea level fingerprints. The sea
level budget results based on ensemble mean data show that the
root mean square errors of the budget residuals in the Bohai
Sea, Yellow Sea, East China Sea, South China Sea, and Northwest
Pacific are 40{\ensuremath{\pm}}3 mm, 52{\ensuremath{\pm}}4 mm,
36{\ensuremath{\pm}}2 mm, 23{\ensuremath{\pm}}2 mm, and
11{\ensuremath{\pm}}1 mm, respectively. A single dataset fails
to close the long-term sea level trends for all regions within a
65\% confidence interval. We discussed the impacts of each
component on the budget residuals and identified steric data and
the ocean dynamics model as the main reasons for the excessive
residuals. The de-aliasing product of the GRACE satellite, AOD1B
model, is primarily responsible for the strong interannual
signals in the residuals of the sea level budget in the Bohai
Sea, Yellow Sea, and East China Sea.}",
doi = {10.1038/s41598-025-06214-3},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025NatSR..1523224L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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