@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)
@COMMENT https://ui.adsabs.harvard.edu/
@ARTICLE{2026AdSpR..78.5580M,
       author = {{Middendorf}, Klara and {Jensen}, Laura and {Schlaak}, Marius and {Haas}, Julian and {Dobslaw}, Henryk and {Pail}, Roland and {G{\"u}ntner}, Andreas and {Eicker}, Annette},
        title = "{Benefits of future satellite gravimetry missions for characterizing extreme wet events in terrestrial water storage}",
      journal = {Advances in Space Research},
     keywords = {Satellite gravimetry, GRACE-C, NGGM/MAGIC, Wet extreme event detection},
         year = 2026,
        month = sep,
       volume = {78},
       number = {6},
        pages = {5580-5594},
     abstract = "{50 years-long closed loop simulations of the future satellite gravimetry
        missions GRACE-C and NGGM/MAGIC are used in this study to
        rigorously assess the abilities of these upcoming missions to
        track wet extreme events from space on a global scale. The
        simulations are based on modeled terrestrial water storage
        variations from a GFDL-CM4 climate model run that took part in
        CMIP6. In addition to nominal monthly gravity field solutions,
        experimental 5-daily solutions were processed for both missions.
        Besides offering the ability to study return levels of extreme
        events in a statistical sense, the simulations also offer the
        opportunity to test the proper identification of various
        naturally occurring wet extremes with varying magnitude,
        location, as well as temporal and spatial extent. While the
        double pair constellation MAGIC always outperforms GRACE-C in
        any metric tested, we note that the 5-daily MAGIC solution is
        found to be advantageous over its monthly solution for the
        estimation of statistical return levels of wet extremes, but not
        with respect to the identification of individual wet extreme
        events as measured by recall, precision, and F1-score. Reasons
        for the inferior performance of the 5-daily solutions are
        spatial leakage, residual noise, and adverse effects from a sub-
        optimal combination of data from the polar and inclined pair
        that manifest as artifacts polewards of 70{\textdegree}. Our
        results therefore call for further refinements in the MAGIC
        processing schemes to further optimize in particular the novel
        5-daily solutions so that the added-value of those sub-monthly
        products can be fully exploited.}",
          doi = {10.1016/j.asr.2026.07.075},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026AdSpR..78.5580M},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}