GRACE and GRACE-FO Related Publications (no abstracts)

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How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies?

Hacker, Charlotte and Kusche, Jürgen, 2024. How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies?. Journal of Hydrology, 645:132180, doi:10.1016/j.jhydrol.2024.13218010.22541/essoar.168565379.97983345/v1.

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@ARTICLE{2024JHyd..64532180H,
       author = {{Hacker}, Charlotte and {Kusche}, J{\"u}rgen},
        title = "{How realistic are multi-decadal reconstructions of GRACE-like total water storage anomalies?}",
      journal = {Journal of Hydrology},
     keywords = {Comparative analysis, Multi-decadal total water storage anomalies (TWSA) reconstructions, GRACE, SLR},
         year = 2024,
        month = dec,
       volume = {645},
          eid = {132180},
        pages = {132180},
     abstract = "{Reconstructions allow us to extend the Gravity Recovery And Climate
        Experiment (GRACE) data record into the past and bridge the one-
        year gap between GRACE and its successor, GRACE-FO (Follow on).
        Reconstructed total water storage anomalies (TWSA) are obtained
        by identifying relations between GRACE-derived TWSA and climate
        variables via statistical and machine learning techniques.
        However, a comparative analysis of the characteristics and
        realism of reconstructions is missing. In this contribution, we
        close this gap by comparing three global reconstructions by
        Humphrey and Gudmundsson (2019), Li et al. (2021) and
        Chandanpurkar et al. (2022) mutually and against output from the
        Water Global Analysis and Prognosis (WaterGAP) hydrological
        model from 1979 onwards, against large-scale mass-change derived
        from geodetic satellite laser ranging (SLR) from 1992 onwards,
        and finally against differing GRACE and GRACE-FO solutions from
        2002 onwards. The reconstructions vary regarding design and
        trained GRACE solution. Reconstructions recover the TWSA signal
        for humid climate regions but disagree for arid climate regions,
        which is evident on the inter-annual timescales. At seasonal and
        sub-seasonal timescales, the reconstructions agree surprisingly
        well in many regions. Our comparison against independent SLR
        data reveals that reconstructions (only) partially succeed in
        representing anomalous TWSA for areas that are influenced by
        significant climate modes such as El Ni{\~n}o-Southern
        Oscillation (ENSO).}",
          doi = {10.1016/j.jhydrol.2024.13218010.22541/essoar.168565379.97983345/v1},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024JHyd..64532180H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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