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Geodetic Evidence of the Interannual Fluctuations and Long-Term Trends Over the Antarctic Ice Sheet Mass Change

Pan, Yuanjin, Zhang, Xiaohong, Jiao, Jiashuang, Ding, Hao, and Shum, C. K., 2025. Geodetic Evidence of the Interannual Fluctuations and Long-Term Trends Over the Antarctic Ice Sheet Mass Change. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18:4525–4535, doi:10.1109/JSTARS.2025.3528516.

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@ARTICLE{2025IJSTA..18.4525P,
       author = {{Pan}, Yuanjin and {Zhang}, Xiaohong and {Jiao}, Jiashuang and {Ding}, Hao and {Shum}, C.~K.},
        title = "{Geodetic Evidence of the Interannual Fluctuations and Long-Term Trends Over the Antarctic Ice Sheet Mass Change}",
      journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
     keywords = {Glacial isostatic adjustment (GIA), global positioning system (GPS), gravity recovery and climate experiment /follow on (GRACE/GFO), ice mass change, vertical land motion (VLM)},
         year = 2025,
        month = jan,
       volume = {18},
        pages = {4525-4535},
     abstract = "{The spatiotemporal characteristics of the Antarctic ice sheet (AIS), as
        constrained by geodetic observations, provide us with a deeper
        understanding of the current evolution of ice mass balance.
        However, it still needs further in-depth research on interannual
        fluctuations and long-term trends of ice mass changes throughout
        the AIS. In this study, these two aspects were quantitatively
        analyzed through global positioning system (GPS) and gravity
        recovery and climate experiment/follow on (GRACE/GFO) over the
        past two decades. The nonlinear variation of GPS-inferred
        vertical land motion (VLM) and the influence of surface elastic
        load are of particular concern. The principal component analysis
        method is utilized to extract common mode signals from GPS time
        series, while correcting for various surface loads. The first
        principal components (PCs) accounted for 57.67\%, 35.87\%,
        36.28\%, and 36.03\% of the total variances in the vertical
        components for GPS raw, atmospheric + nontidal oceanic
        (AO)-removed, AO + hydrographic model (AOH)-removed, and AO +
        GRACE/GFO-based load (AOG)-removed, respectively. Furthermore,
        the GPS vertical velocity, excluding the common mode component +
        AOG, yielded a median value of 0.13 mm/yr, which indicates that
        the retreat of ice mass has made a significant contribution to
        the GPS-observed VLM. In addition, the glacial isostatic
        adjustment (GIA) effect is found to play a key role in the
        large-scale VLM uplifting of the West AIS. After evaluating five
        different GIA models with GPS vertical velocity, we suggest that
        the ICE-6G\_D model can more effectively correct GIA signals in
        GPS observations over Antarctica.}",
          doi = {10.1109/JSTARS.2025.3528516},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025IJSTA..18.4525P},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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