Publications related to the GRACE Missions (no abstracts)

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Consistency and structural uncertainty of multi-mission GPS radio occultation records

Steiner, Andrea K., Ladstädter, Florian, Ao, Chi O., Gleisner, Hans, Ho, Shu-Peng, Hunt, Doug, Schmidt, Torsten, Foelsche, Ulrich, Kirchengast, Gottfried, Kuo, Ying-Hwa, Lauritsen, Kent B., Mannucci, Anthony J., Nielsen, Johannes K., Schreiner, William, Schwärz, Marc, Sokolovskiy, Sergey, Syndergaard, Stig, and Wickert, Jens, 2020. Consistency and structural uncertainty of multi-mission GPS radio occultation records. Atmospheric Measurement Techniques, 13(5):2547–2575, doi:10.5194/amt-13-2547-2020.

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@ARTICLE{2020AMT....13.2547S,
       author = {{Steiner}, Andrea K. and {Ladst{\"a}dter}, Florian and {Ao}, Chi O. and {Gleisner}, Hans and {Ho}, Shu-Peng and {Hunt}, Doug and {Schmidt}, Torsten and {Foelsche}, Ulrich and {Kirchengast}, Gottfried and {Kuo}, Ying-Hwa and {Lauritsen}, Kent B. and {Mannucci}, Anthony J. and {Nielsen}, Johannes K. and {Schreiner}, William and {Schw{\"a}rz}, Marc and {Sokolovskiy}, Sergey and {Syndergaard}, Stig and {Wickert}, Jens},
        title = "{Consistency and structural uncertainty of multi-mission GPS radio occultation records}",
      journal = {Atmospheric Measurement Techniques},
         year = 2020,
        month = may,
       volume = {13},
       number = {5},
        pages = {2547-2575},
     abstract = "{Atmospheric climate monitoring requires observations of high quality
        that conform to the criteria of the Global Climate Observing
        System (GCOS). Radio occultation (RO) data based on Global
        Positioning System (GPS) signals are available since 2001 from
        several satellite missions with global coverage, high accuracy,
        and high vertical resolution in the troposphere and lower
        stratosphere. We assess the consistency and long-term stability
        of multi-satellite RO observations for use as climate data
        records. As a measure of long-term stability, we quantify the
        structural uncertainty of RO data products arising from
        different processing schemes. We analyze atmospheric variables
        from bending angle to temperature for four RO missions, CHAMP,
        Formosat-3/COSMIC, GRACE, and Metop, provided by five data
        centers. The comparisons are based on profile-to-profile
        differences aggregated to monthly medians. Structural
        uncertainty in trends is found to be lowest from 8 to 25 km of
        altitude globally for all inspected RO variables and missions.
        For temperature, it is < 0.05 K per decade in the global mean
        and < 0.1 K per decade at all latitudes. Above 25 km, the
        uncertainty increases for CHAMP, while data from the other
        missions - based on advanced receivers - are usable to higher
        altitudes for climate trend studies: dry temperature to 35 km,
        refractivity to 40 km, and bending angle to 50 km. Larger
        differences in RO data at high altitudes and latitudes are
        mainly due to different implementation choices in the
        retrievals. The intercomparison helped to further enhance the
        maturity of the RO record and confirms the climate quality of
        multi-satellite RO observations towards establishing a GCOS
        climate data record.}",
          doi = {10.5194/amt-13-2547-2020},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020AMT....13.2547S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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