Publications related to the GRACE Missions (no abstracts)

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CIDR interpolation: An enhanced SSA-based temporal filling framework for restoring continuity in downscaled GRACE(-FO) TWSA products

Gao, Yu, Zhang, Wenyuan, Gou, Junyang, Zhang, Shubi, Liu, Yang, and Soja, Benedikt, 2026. CIDR interpolation: An enhanced SSA-based temporal filling framework for restoring continuity in downscaled GRACE(-FO) TWSA products. Journal of Hydrology, 664:134606, doi:10.1016/j.jhydrol.2025.134606.

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@ARTICLE{2026JHyd..66434606G,
       author = {{Gao}, Yu and {Zhang}, Wenyuan and {Gou}, Junyang and {Zhang}, Shubi and {Liu}, Yang and {Soja}, Benedikt},
        title = "{CIDR interpolation: An enhanced SSA-based temporal filling framework for restoring continuity in downscaled GRACE(-FO) TWSA products}",
      journal = {Journal of Hydrology},
     keywords = {Total water storage, GRACE(-FO), Correlation-based iterative, Decompose-restore, Singular spectrum analysis, Gap-filling, Geophysics},
         year = 2026,
        month = jan,
       volume = {664},
          eid = {134606},
        pages = {134606},
     abstract = "{Global total water storage anomaly (TWSA) products derived from the
        Gravity Recovery and Climate Experiment (GRACE) and its Follow-
        On missions (GRACE-FO) are critical for hydrological research
        and water resource management. However, persistent data gaps
        hinder their applications in the long-term water cycle
        monitoring. To address the issue, we propose an enhanced
        Singular Spectrum Analysis (SSA) interpolation method,
        Correlation-based Iterative and Decompose-Restore (CIDR), which
        resolves the instability and accuracy degradation in the
        conventional SSA approach. The proposed CIDR method integrates
        two synergistic components: (i) a correlation-driven iteration
        stopping rule ensuring the method's overall consistency, and
        (ii) component-specific interpolation with optimized denoising
        through a decompose-restore technique. The downscaled GRACE(-FO)
        TWSA dataset with 0.5<mml:math><mml:msup><mml:mspace></mml:mspac
        e><mml:mrow><mml:mo>{\ensuremath{\circ}}</mml:mo></mml:mrow></mm
        l:msup></mml:math> spatial resolution is employed to evaluate
        the CIDR's performance. At the grid scale, compared with the SSA
        method, the global mean relative Root Mean Square (rRMS) and
        Nash─Sutcliffe Efficiency (NSE) of CIDR method are improved by
        17.5 \% and 42.6 \% for intra-mission gaps, and by 18.6 \% and
        27.6 \% for inter-mission gap interpolation, respectively. In
        addition, the CIDR method shows a significant improvement over
        the SSA method within the global basins, with the area-weighted
        average rRMS improved by 20.3 \% and 20 \% for both gaps,
        respectively. This research is expected to provide an advanced
        gap-filling method to meet the dual requirements of hydrological
        and climate research for high spatial resolution and long-term
        continuous TWSA products, which holds significant potential for
        application to other hydrological and geodetic time series.}",
          doi = {10.1016/j.jhydrol.2025.134606},
archivePrefix = {arXiv},
       eprint = {2504.08454},
 primaryClass = {physics.geo-ph},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026JHyd..66434606G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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