Publications related to the GRACE Missions (no abstracts)

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Return Levels of Dry Extreme Events in Terrestrial Water Storage From Satellite Gravimetry and CMIP6 Global Coupled Climate Models

Middendorf, Klara, Dobslaw, Henryk, Jensen, Laura, and Eicker, Annette, 2025. Return Levels of Dry Extreme Events in Terrestrial Water Storage From Satellite Gravimetry and CMIP6 Global Coupled Climate Models. Journal of Geophysical Research (Solid Earth), 130(10):e2024JB031011, doi:10.1029/2024JB031011.

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BibTeX

@ARTICLE{2025JGRB..13031011M,
       author = {{Middendorf}, Klara and {Dobslaw}, Henryk and {Jensen}, Laura and {Eicker}, Annette},
        title = "{Return Levels of Dry Extreme Events in Terrestrial Water Storage From Satellite Gravimetry and CMIP6 Global Coupled Climate Models}",
      journal = {Journal of Geophysical Research (Solid Earth)},
     keywords = {GRACE, CMIP6, extreme events, climate models, generalized extreme value distribution, return levels},
         year = 2025,
        month = oct,
       volume = {130},
       number = {10},
          eid = {e2024JB031011},
        pages = {e2024JB031011},
     abstract = "{Satellite gravimetry as realized with GRACE and GRACE-FO provides a
        novel opportunity to study extreme deviations from annually
        varying terrestrial water storage (TWS) in all continental areas
        of our planet. By utilizing the generalized extreme value (GEV)
        distribution, we estimate return levels for events that are
        expected to happen once every 10 (i.e., 1-in-10) years. With two
        GRACE-like reconstructions spanning over 40 and 114 years,
        respectively, we show that the currently available data record
        of 20 years is already sufficiently long to derive robust
        estimates of those return levels. When contrasting the GRACE/-FO
        results to model experiments from the CMIP6 archive extending
        until the year 2100 by concatenating historical runs and climate
        projections under the SSP5-8.5 socioeconomic pathway, we find
        that (a) the multi-model median from CMIP6 has the overall best
        agreement with the satellite data, thereby nicely confirming the
        validity of a central assumption of many climate-related studies
        that heavily rely on ensemble statistics. We also find that (b)
        CMIP6 model runs contain only modest deviations of 1-in-10 years
        return levels from the beginning of the 20th century when
        compared to present-day, but predict stronger changes toward
        more extreme return levels by the end of the 21st century. On
        the other hand, we also find substantial differences between
        satellite data and individual model experiments, which opens new
        opportunities to inform, validate and/or calibrate numerical
        climate models with satellite gravimetry data from GRACE, GRACE-
        FO, and in future also GRACE-C.}",
          doi = {10.1029/2024JB031011},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025JGRB..13031011M},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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