Articles | Volume 8, issue 10
https://doi.org/10.5194/amt-8-4369-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-4369-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Oct 2015
Research article |
| 16 Oct 2015
Relative drifts and biases between six ozone limb satellite measurements from the last decade
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
A. V. Rozanov
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
K. Weigel
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
H. Bovensmann
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
J. P. Burrows
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
A. Laeng
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Karlsruhe, Germany
G. Stiller
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Karlsruhe, Germany
T. von Clarmann
Karlsruhe Institute of Technology, Institute for Meteorology and Climate Research, Karlsruhe, Germany
E. Kyrölä
Finnish Meteorological Institute, Helsinki, Finland
V. F. Sofieva
Finnish Meteorological Institute, Helsinki, Finland
J. Tamminen
Finnish Meteorological Institute, Helsinki, Finland
K. Walker
Department of Physics, University of Toronto, Toronto, Canada
D. Degenstein
Institute for Space and Atmospheric Studies, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
A. E. Bourassa
Institute for Space and Atmospheric Studies, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
R. Hargreaves
Department of Chemistry, University of York, York, UK
Department of Chemistry & Biochemistry, Old Dominion University, Norfolk, VA, USA
P. Bernath
Department of Chemistry, University of York, York, UK
Chalmers University of Technology, Department of Earth and Space Sciences, 41296 Gothenburg, Sweden
D. P. Murtagh
Chalmers University of Technology, Department of Earth and Space Sciences, 41296 Gothenburg, Sweden
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Cited
12 citations as recorded by crossref.
- Assessment of the quality of ACE-FTS stratospheric ozone data P. Sheese et al. 10.5194/amt-15-1233-2022
- Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records D. Hubert et al. 10.5194/amt-9-2497-2016
- ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model S. Dhomse et al. 10.5194/essd-13-5711-2021
- An update on ozone profile trends for the period 2000 to 2016 W. Steinbrecht et al. 10.5194/acp-17-10675-2017
- Merged SAGE II, Ozone_cci and OMPS ozone profile dataset and evaluation of ozone trends in the stratosphere V. Sofieva et al. 10.5194/acp-17-12533-2017
- Improved GOMOS/Envisat ozone retrievals in the upper troposphere and the lower stratosphere V. Sofieva et al. 10.5194/amt-10-231-2017
- Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. 10.5194/amt-13-4393-2020
- Stability requirements of satellites to detect long-term stratospheric ozone trends based upon Monte Carlo simulations M. Weber 10.5194/amt-17-3597-2024
- Detecting recovery of the stratospheric ozone layer M. Chipperfield et al. 10.1038/nature23681
- How long do satellites need to overlap? Evaluation of climate data stability from overlapping satellite records E. Weatherhead et al. 10.5194/acp-17-15069-2017
- Study of the dependence of long-term stratospheric ozone trends on local solar time E. Maillard Barras et al. 10.5194/acp-20-8453-2020
- Global validation of SCIAMACHY limb ozone data (versions 2.9 and 3.0, IUP Bremen) using ozonesonde measurements J. Jia et al. 10.5194/amt-8-3369-2015
11 citations as recorded by crossref.
- Assessment of the quality of ACE-FTS stratospheric ozone data P. Sheese et al. 10.5194/amt-15-1233-2022
- Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records D. Hubert et al. 10.5194/amt-9-2497-2016
- ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model S. Dhomse et al. 10.5194/essd-13-5711-2021
- An update on ozone profile trends for the period 2000 to 2016 W. Steinbrecht et al. 10.5194/acp-17-10675-2017
- Merged SAGE II, Ozone_cci and OMPS ozone profile dataset and evaluation of ozone trends in the stratosphere V. Sofieva et al. 10.5194/acp-17-12533-2017
- Improved GOMOS/Envisat ozone retrievals in the upper troposphere and the lower stratosphere V. Sofieva et al. 10.5194/amt-10-231-2017
- Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. 10.5194/amt-13-4393-2020
- Stability requirements of satellites to detect long-term stratospheric ozone trends based upon Monte Carlo simulations M. Weber 10.5194/amt-17-3597-2024
- Detecting recovery of the stratospheric ozone layer M. Chipperfield et al. 10.1038/nature23681
- How long do satellites need to overlap? Evaluation of climate data stability from overlapping satellite records E. Weatherhead et al. 10.5194/acp-17-15069-2017
- Study of the dependence of long-term stratospheric ozone trends on local solar time E. Maillard Barras et al. 10.5194/acp-20-8453-2020
Saved (final revised paper)
Saved (final revised paper)
Latest update: 23 Nov 2024
Short summary
The analyses among six satellite instruments measuring ozone reveals that the relative drift between the sensors is not significant in the stratosphere and we conclude that merging of data from these instruments is possible. The merged ozone profiles can then be ingested in global climate models for long-term forecasts of ozone and climate change in the atmosphere. The added drift uncertainty is estimated at about 3% per decade (1 sigma) and should be applied in the calculation of ozone trends.
The analyses among six satellite instruments measuring ozone reveals that the relative drift...
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