Publications related to the GRACE Missions (no abstracts)

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Assessing the Consistency Among Three Mascon Solutions and COST-G-Based Grid Products for Characterizing Antarctic Ice Sheet Mass Change

Long, Qing and Su, Xiaoli, 2025. Assessing the Consistency Among Three Mascon Solutions and COST-G-Based Grid Products for Characterizing Antarctic Ice Sheet Mass Change. Remote Sensing, 17(22):3699, doi:10.3390/rs17223699.

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BibTeX

@ARTICLE{2025RemS...17.3699L,
       author = {{Long}, Qing and {Su}, Xiaoli},
        title = "{Assessing the Consistency Among Three Mascon Solutions and COST-G-Based Grid Products for Characterizing Antarctic Ice Sheet Mass Change}",
      journal = {Remote Sensing},
     keywords = {the Antarctic ice sheet, mass variation, mascon data, grid product, GRACE/GRACE-FO},
         year = 2025,
        month = nov,
       volume = {17},
       number = {22},
          eid = {3699},
        pages = {3699},
     abstract = "{What are the main findings? The three mainstream mascon as well as COST-
        G-based grids show good consistency over the AIS, while large
        differences occurred in APIS. Significant differences among
        these four grids existed in the annual mass change in 2016 and
        the interannual signals from mid-2016 to mid-2018. The three
        mainstream mascon as well as COST-G-based grids show good
        consistency over the AIS, while large differences occurred in
        APIS. Significant differences among these four grids existed in
        the annual mass change in 2016 and the interannual signals from
        mid-2016 to mid-2018. What are the implications of the main
        findings? One or more mascon or COST-G-based grids can be
        selected for application to perform further studies over the
        AIS. Caution should be taken when applying these grids over the
        APIS. This study sheds light on the way to improve the quality
        of GRACE/GRACE-FO grid products; i.e., refining the algorithms
        for the APIS and updating the grids at the late stage of the
        GRACE mission. One or more mascon or COST-G-based grids can be
        selected for application to perform further studies over the
        AIS. Caution should be taken when applying these grids over the
        APIS. This study sheds light on the way to improve the quality
        of GRACE/GRACE-FO grid products; i.e., refining the algorithms
        for the APIS and updating the grids at the late stage of the
        GRACE mission. To facilitate easy accessibility to the Gravity
        Recovery and Climate Experiment (GRACE) and GRACE Follow-On
        (GRACE-FO) results for the geoscientific community, multiple
        institutions have successively developed mass anomaly grid
        products including mass concentration (mascon) grids; these were
        provided at the Gravity Information Service (GravIS) portal.
        However, an assessment of their consistency for studying large-
        scale mass redistribution and transport in Earth's system is
        still not available. Here, we compare three major mascon
        solutions separately from the Center for Space Research (CSR),
        the Jet Propulsion Laboratory (JPL), the Goddard Space Flight
        Center (GSFC) and GravIS products based on the Combination
        Service for Time-variable Gravity fields (COST-G) by analyzing
        the Antarctic Ice Sheet (AIS) mass changes in four aspects. Our
        results demonstrate that: (1) the four datasets exhibit strong
        consistency on the entire AIS mass change time series, with the
        largest difference occurring in the Antarctic Peninsula; (2)
        mass trend estimates show better agreement over longer periods
        and larger regions, but differences with a percentage of 20─40
        exist during the late stage of GRACE and the whole GRACE-FO
        timespan; (3) notable discrepancies arise in the annual
        statistics of the Eastern AIS in 2016, leading to inconsistency
        on the sign of annual AIS mass change; (4) good agreement can be
        seen among these interannual mass variations over the AIS and
        its three subregions during 2003─2023, excluding the period from
        mid-2016 to mid-2018. These findings may provide key insights
        into improving algorithms for mascon solutions and grid products
        towards refining their applications in ice mass balance studies.}",
          doi = {10.3390/rs17223699},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.3699L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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