Publications related to the GRACE Missions (no abstracts)

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Gap filling between GRACE and GRACE-FO missions: assessment of interpolation techniques

Lecomte, Hugo, Rosat, Severine, and Mandea, Mioara, 2024. Gap filling between GRACE and GRACE-FO missions: assessment of interpolation techniques. Journal of Geodesy, 98(12):107, doi:10.1007/s00190-024-01917-3.

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@ARTICLE{2024JGeod..98..107L,
       author = {{Lecomte}, Hugo and {Rosat}, Severine and {Mandea}, Mioara},
        title = "{Gap filling between GRACE and GRACE-FO missions: assessment of interpolation techniques}",
      journal = {Journal of Geodesy},
     keywords = {Variable gravity field, Gap filling, Interpolation, GRACE, Swarm},
         year = 2024,
        month = dec,
       volume = {98},
       number = {12},
          eid = {107},
        pages = {107},
     abstract = "{We propose a benchmark for comparing gap-filling techniques used on
        global time-variable gravity field time-series. The Gravity
        Recovery and Climate Experiment (GRACE) and the GRACE Follow-On
        missions provide products to study the Earth's time-variable
        gravity field. However, the presence of missing months in the
        measurements poses challenges for understanding specific Earth
        processes through the gravity field. We reproduce, adapt, and
        compare satellite-monitoring and interpolation techniques for
        filling these missing months in GRACE and GRACE Follow-On
        products on a global scale. Satellite-monitoring techniques
        utilize solutions from Swarm and satellite laser ranging, while
        interpolation techniques rely on GRACE and/or Swarm solutions.
        We assess a wide range of interpolation techniques, including
        least-squares fitting, principal component analysis, singular
        spectrum analysis, multichannel singular spectrum analysis,
        auto-regressive models, and the incorporation of prior data in
        these techniques. To inter-compare these techniques, we employ a
        remove-and-restore approach, removing existing GRACE products
        and predicting missing months using interpolation techniques. We
        provide detailed comparisons of the techniques and discuss their
        strengths and limitations. The auto-regressive interpolation
        technique delivers the best score according to our evaluation
        metric. The interpolation based on a least-squares fitting of
        constant, trend, annual, and semi-annual cycles offers a simple
        and effective prediction with a good score. Through this
        assessment, we establish a starting benchmark for gap-filling
        techniques in Earth's time-variable gravity field analysis.}",
          doi = {10.1007/s00190-024-01917-3},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024JGeod..98..107L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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