Thu Apr 10, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
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.
• from the NASA Astrophysics Data System • by the DOI System •
@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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