Publications related to the GRACE Missions (no abstracts)

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Gravity Field Recovery Using High-Precision, High-Low Inter-Satellite Links

Hauk, Markus and Pail, Roland, 2019. Gravity Field Recovery Using High-Precision, High-Low Inter-Satellite Links. Remote Sensing, 11(5):537, doi:10.3390/rs11050537.

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@ARTICLE{2019RemS...11..537H,
       author = {{Hauk}, Markus and {Pail}, Roland},
        title = "{Gravity Field Recovery Using High-Precision, High-Low Inter-Satellite Links}",
      journal = {Remote Sensing},
     keywords = {mass transport in the Earth system, GRACE and GRACE follow-on mission, current and future observation concepts and instruments},
         year = 2019,
        month = mar,
       volume = {11},
       number = {5},
          eid = {537},
        pages = {537},
     abstract = "{Past temporal gravity field solutions from the Gravity Recovery and
        Climate Experiment (GRACE), as well as current solutions from
        GRACE Follow-On, suffer from temporal aliasing errors due to
        undersampling of the signal to be recovered (e.g., hydrology),
        which arise in terms of stripes caused by the north-south
        observation direction. In this paper, we investigate the
        potential of the proposed mass variation observing system by
        high-low inter-satellite links (MOBILE) mission. We quantify the
        impact of instrument errors of the main sensors (inter-satellite
        link and accelerometer) and high-frequency tidal and non-tidal
        gravity signals on achievable performance of the temporal
        gravity field retrieval. The multi-directional observation
        geometry of the MOBILE concept with a strong dominance of the
        radial component result in a close-to-isotropic error behavior,
        and the retrieved gravity field solutions show reduced temporal
        aliasing errors of at least 30\% for non-tidal, as well as
        tidal, mass variation signals compared to a low-low satellite
        pair configuration. The quality of the MOBILE range observations
        enables the application of extended alternative processing
        methods leading to further reduction of temporal aliasing
        errors. The results demonstrate that such a mission can help to
        get an improved understanding of different components of the
        Earth system.}",
          doi = {10.3390/rs11050537},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019RemS...11..537H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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