Publications related to the GRACE Missions (no abstracts)

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Improved Hydrological Loading Models in South America: Analysis of GPS Displacements Using M-SSA

Nicolas, Joëlle, Verdun, Jérôme, Boy, Jean-Paul, Bonhomme, Louis, Asri, Ayoub, Corbeau, Adélie, Berthier, Antoine, Durand, Frédéric, and Clarke, Peter, 2021. Improved Hydrological Loading Models in South America: Analysis of GPS Displacements Using M-SSA. Remote Sensing, 13(9):1605, doi:10.3390/rs13091605.

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BibTeX

@ARTICLE{2021RemS...13.1605N,
       author = {{Nicolas}, Jo{\"e}lle and {Verdun}, J{\'e}r{\^o}me and {Boy}, Jean-Paul and {Bonhomme}, Louis and {Asri}, Ayoub and {Corbeau}, Ad{\'e}lie and {Berthier}, Antoine and {Durand}, Fr{\'e}d{\'e}ric and {Clarke}, Peter},
        title = "{Improved Hydrological Loading Models in South America: Analysis of GPS Displacements Using M-SSA}",
      journal = {Remote Sensing},
     keywords = {GPS, environmental loading, Multichannel Singular Spectrum Analysis, South America},
         year = 2021,
        month = apr,
       volume = {13},
       number = {9},
          eid = {1605},
        pages = {1605},
     abstract = "{Environmental loading, in particular from continental water storage
        changes, induces geodetic station displacements up to several
        centimeters for the vertical components. We investigate surface
        deformation due to loading processes in South America using a
        set of 247 permanent GPS (Global Positioning System) stations
        for the 2003-2016 period and compare them to loading estimates
        from global circulation models. Unfortunately, some of the
        hydrological components, and in particular surface waters, may
        be missing in hydrological models. This is especially an issue
        in South America where almost half of the seasonal water storage
        variations are due to surface water changes, e.g., rivers and
        floodplains. We derive river storage variations by rerouting
        runoffs of global hydrology models, allowing a better agreement
        with the mass variations observed from GRACE (Gravity Recovery
        and Climate Experiment) mission. We extract coherent seasonal
        GPS displacements using Multichannel Singular Spectrum Analysis
        (M-SSA) and show that modeling the river storage induced loading
        effects significantly improve the agreement between observed
        vertical and horizontal displacements and loading models. Such
        an agreement has been markedly achieved in the Amazon basin.
        Whilst the initial models only explained half of the amplitude
        of GPS, the new ones compensate for these gaps and remain
        consistent with GRACE.}",
          doi = {10.3390/rs13091605},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021RemS...13.1605N},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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