@COMMENT This file was generated by bib2html_grace.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <https://sourceforge.net/users/patstg/>
@COMMENT This file was prepared using the NASA Astrophysics Data System (ADS)
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@ARTICLE{2026ESSD...18.1747H,
       author = {{Hacker}, Charlotte and {Gutknecht}, Benjamin D. and {L{\"o}cher}, Anno and {Kusche}, J{\"u}rgen},
        title = "{Multidecadal reconstruction of terrestrial water storage changes by combining pre-GRACE satellite observations and climate data}",
      journal = {Earth System Science Data},
         year = 2026,
        month = mar,
       volume = {18},
       number = {3},
        pages = {1747-1781},
     abstract = "{The Gravity Recovery And Climate Experiment (GRACE) and its follow-on
        mission, GRACE-FO, have observed global mass changes and
        transports, expressed as terrestrial water storage anomalies
        (TWSA), for over two decades. However, for climate model
        evaluation, climate change attribution and other applications,
        multi-decadal TWSA time series are required. This need has
        triggered several studies on reconstructing TWSA via regression
        approaches or machine learning techniques, with the help of
        predictor variables such as rainfall, land or sea surface
        temperature. Here, we combine such an approach, for the first
        time, with large-scale time-variable gravity information from
        geodetic satellite laser ranging (SLR) and Doppler Orbitography
        by Radiopositioning Integrated on Satellite (DORIS) tracking.
        The new reconstruction TWSTORE (Terrestrial Water STOrage
        REconstruction) is formulated in a GRACE-derived empirical
        orthogonal functions (EOFs) basis and complemented with the
        L{\"o}cher et al. (2025) approach, in which global gravity
        fields are solved from SLR ranges and DORIS observations in EOF
        space for the pre-GRACE time frame. Our approach is highly
        modular, allowing to use different data sets at several steps in
        the workflow. We reconstruct GRACE-like TWSA for the global
        land, excluding Greenland and Antarctica, from 1984 onward. We
        find that the new combined reconstruction inherits information
        from the geodetic method, mainly at longer timescales. In
        contrast, at the seasonal scale, the climate-driven
        reconstruction and the geodetic product are already surprisingly
        consistent. In comparison to other reconstructions, we find thus
        major differences mainly at the multi-decadal timescale. All in
        all, our study confirms the presence of significant changes in
        storage trends, showing that GRACE-derived results should not be
        extrapolated to the past. The reconstructed fields and
        corresponding uncertainty information are available at
        10.5281/zenodo.15827789 . We also derive evaporation based on
        the water balance equation and the presented reconstruction for
        11 river basins. The corresponding time series are available at
        10.5281/zenodo.16643628 .}",
          doi = {10.5194/essd-18-1747-2026},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026ESSD...18.1747H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}