Publications related to the GRACE Missions (no abstracts)

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An improved Slepian method for mitigating signal leakage in Greenland ice sheet mass variation estimation

Gong, Zehao, Ran, Jiangjun, Han, Shin–Chan, Tangdamrongsub, Natthachet, and Yan, Zhengwen, 2025. An improved Slepian method for mitigating signal leakage in Greenland ice sheet mass variation estimation. Journal of Geodesy, 100(1):3, doi:10.1007/s00190-025-02022-9.

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@ARTICLE{2025JGeod.100....3G,
       author = {{Gong}, Zehao and {Ran}, Jiangjun and {Han}, Shin-Chan and {Tangdamrongsub}, Natthachet and {Yan}, Zhengwen},
        title = "{An improved Slepian method for mitigating signal leakage in Greenland ice sheet mass variation estimation}",
      journal = {Journal of Geodesy},
     keywords = {GRACE, Slepian, Greenland ice sheet, Surface mass balance, Engineering, Geomatic Engineering, Earth Sciences, Physical Geography and Environmental Geoscience},
         year = 2025,
        month = dec,
       volume = {100},
       number = {1},
          eid = {3},
        pages = {3},
     abstract = "{The Greenland Ice Sheet is a major contributor to global sea-level rise,
        with accelerating mass loss due to climate change. Accurate
        estimation of Greenland Ice Sheet mass variations is critical
        for understanding ice sheet dynamics and predicting future sea-
        level changes. However, spherical harmonic coefficient solutions
        from GRACE/GRACE-FO suffer from high-frequency noise and signal
        leakage, particularly at Greenland Ice Sheet-ocean boundaries,
        limiting their reliability in regional mass balance studies. In
        this study, we propose an Improved Slepian Method to address
        these limitations. The Improved Slepian Method refines the
        inversion strategy by introducing satellite-altitude pseudo-
        observations to separate Greenland Ice Sheet and surrounding
        ocean/island signals, recovering leaked signals. It also uses
        satellite altimetry data as a regularization matrix to constrain
        spatial patterns that are critical to reduce signal leakage.
        Additionally, it weights the data with the error covariance
        matrix to suppress high-frequency noise, enabling the use of
        higher-degree (e.g., degree 96) time-varying gravity field
        models. Validated against Input─Output Method, the Improved
        Slepian Method improves accuracy by 25─58\% across the Greenland
        Ice Sheet and its drainage systems, outperforming the Classical
        Slepian Method. The Improved Slepian Method also demonstrates
        comparable performance to Mascon solutions in estimating long-
        term trends, while the Classical Slepian Method underestimates
        the trend by approximately 80 Gt/year due to signal leakage.
        This study addresses the issues of high-frequency noise and
        signal leakage in spherical harmonic coefficient solutions,
        providing a robust framework for high-precision Greenland Ice
        Sheet mass balance research and other geophysical applications.}",
          doi = {10.1007/s00190-025-02022-9},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025JGeod.100....3G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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