Publications related to the GRACE Missions (no abstracts)

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Investigating the closures of sea level budgets in China's adjacent seas

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.

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@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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