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Comparative analysis of the impact of different environmental loading products on contemporary vertical land motion of mainland China from multigeodetic measurements

Chen, Tao and Ding, Hao, 2026. Comparative analysis of the impact of different environmental loading products on contemporary vertical land motion of mainland China from multigeodetic measurements. Geophysical Journal International, 244(1):ggaf407, doi:10.1093/gji/ggaf407.

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@ARTICLE{2026GeoJI.244..407C,
       author = {{Chen}, Tao and {Ding}, Hao},
        title = "{Comparative analysis of the impact of different environmental loading products on contemporary vertical land motion of mainland China from multigeodetic measurements}",
      journal = {Geophysical Journal International},
     keywords = {Loading of the Earth, Satellite geodesy, Asia, Time-series analysis, Hydrology; Global change from geodesy},
         year = 2026,
        month = jan,
       volume = {244},
       number = {1},
          eid = {ggaf407},
        pages = {ggaf407},
     abstract = "{The elastic deformation of Earth's surface caused by internal mass
        distribution varies significantly across loading models,
        especially in high-precision applications. Although several
        studies have applied loading corrections to Global Navigation
        Satellite System (GNSS) time-series in mainland China,
        discrepancies between models, particularly those involving
        Gravity Recovery and Climate Experiment (GRACE) data and its
        downscaled derivatives, remain insufficiently explored.
        Moreover, previous research has not comprehensively assessed
        vertical crustal deformation after applying different
        environmental loading corrections. This study systematically
        evaluates the correction effects of various environmental
        loading models on GNSS vertical displacements across mainland
        China, generating vertical velocity maps along with their
        associated uncertainties. The results show that hydrological
        loading (HYDL) has the most significant impact on GNSS vertical
        displacements, whereas non-tidal oceanic loading (NTOL) has the
        least effect. Substantial differences exist between various HYDL
        models, while discrepancies between non-tidal atmospheric
        loading and NTOL models are relatively minor. A comparison of
        correction effects between the HYDL model and GRACE data reveals
        that the HYDL model offers more accurate corrections, whereas
        downscaled GRACE data demonstrates improved performance,
        underscoring its potential advantages. After applying loading
        corrections and filtering common mode error, the uncertainty in
        GNSS vertical velocity is notably reduced, although velocity
        variation remains small. This effect is also evident in seasonal
        variations. Furthermore, a comparison of vertical land motion
        (VLM) constrained by different HYDL models and downscaled GRACE
        data with VLM constrained by an independent land─water fusion
        model reveals higher consistency between the downscaled GRACE
        data and the independent model in the North China and
        northwestern Tianshan regions, suggesting that VLM derived from
        downscaled GRACE data may be more reliable. We also quantify the
        combined impact of geocentre motion and glacial isostatic
        adjustment on the VLM trend across mainland China, estimated it
        at approximately 0.13 mm yr$^{{\ensuremath{-}}1}$. While the
        spatial characteristics of the VLM trend show minimal changes
        after correction, its intensity is significantly affected. This
        study provides crucial insights into the correcting of
        environmental loading effects in GNSS vertical displacements and
        contributes the latest observational results on vertical crustal
        deformation in mainland China.}",
          doi = {10.1093/gji/ggaf407},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026GeoJI.244..407C},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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