Articles | Volume 20, issue 14
https://doi.org/10.5194/acp-20-8453-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-8453-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jul 2020
Research article |
| 20 Jul 2020
| 20 Jul 2020
Study of the dependence of long-term stratospheric ozone trends on local solar time
Eliane Maillard Barras
CORRESPONDING AUTHOR
Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland
Alexander Haefele
Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland
Liliane Nguyen
ISE, Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
Fiona Tummon
Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland
William T. Ball
Institute for Atmospheric and Climate Science, Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
Physikalisch-Meteorologisches Observatorium Davos World Radiation Centre, Davos, Switzerland
Eugene V. Rozanov
Physikalisch-Meteorologisches Observatorium Davos World Radiation Centre, Davos, Switzerland
Rolf Rüfenacht
Federal Office of Meteorology and Climatology, MeteoSwiss, Payerne, Switzerland
Klemens Hocke
Institute of Applied Physics and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Leonie Bernet
Institute of Applied Physics and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Niklaus Kämpfer
Institute of Applied Physics and Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Gerald Nedoluha
Naval Research Laboratory, Washington DC, USA
Ian Boyd
BC Scientific Consulting LLC, Dunedin, New Zealand
Data sets
MLS/Aura Level 2 Ozone (O3) Mixing Ratio V004, Greenbelt, MD, M. Schwartz, L. Froidevaux, N. Livesey, and W. Read http://disc.sci.gsfc.nasa.gov/Aura/data-holdings/MLS/index.shtml
Short summary
To determine the part of the variability of the long-term ozone profile trends coming from measurement timing, we estimate microwave radiometer trends for each hour of the day with a multiple linear regression model. The variation in the trend with local solar time is not significant at the 95 % confidence level either in the stratosphere or in the low mesosphere. We conclude that systematic sampling differences between instruments cannot explain significant differences in trend estimates.
To determine the part of the variability of the long-term ozone profile trends coming from...
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Final-revised paper
Preprint