Journal article

Coherence of long-term stratospheric ozone vertical distribution time series used for the study of ozone recovery at a northern mid-latitude station

Nair P, Godin-Beekmann S, Pazmiño A, Hauchecorne A, Ancellet G, Petropavlovskikh I, Flynn L, Froidevaux L ...see all

Atmospheric Chemistry and Physics, vol. 11, issue 10 (2011) pp. 4957-4975

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Abstract

The coherence of stratospheric ozone time series retrieved from various
observational records is investigated at Haute-Provence Observatory
(OHP-43.93 degrees N, 5.71 degrees E). The analysis is accomplished
through the intercomparison of collocated ozone measurements of Light
Detection and Ranging (lidar) with Solar Backscatter UltraViolet(/2)
(SBUV(/2)), Stratospheric Aerosol and Gas Experiment II (SAGE II),
Halogen Occultation Experiment (HALOE), Microwave Limb Sounder (MLS) on
Upper Atmosphere Research Satellite (UARS) and Aura and Global Ozone
Monitoring by Occultation of Stars (GOMOS) satellite observations as
well as with in situ ozonesondes and ground-based Umkehr measurements
performed at OHP. A detailed statistical study of the relative
differences of ozone observations over the whole stratosphere is
performed to detect any specific drift in the data. On average, all
instruments show their best agreement with lidar at 20-40 km, where
deviations are within +/- 5%. Discrepancies are somewhat higher below
20 and above 40 km. The agreement with SAGE II data is remarkable since
average differences are within +/- 1% at 1741 km. In contrast, Umkehr
data underestimate systematically the lidar measurements in the whole
stratosphere with a near zero bias at 16-8 hPa (similar to 30 km).
Drifts are estimated using simple linear regression for the data sets
analysed in this study, from the monthly averaged difference time
series. The derived values are less than +/- 0.5% yr-1 in the 20-40 km
altitude range and most drifts are not significant at the 2 sigma level.
We also discuss the possibilities of extending the SAGE II and HALOE
data with the GOMOS and Aura MLS data in consideration with relative
offsets and drifts since the combination of such data sets are likely to
be used for the study of stratospheric ozone recovery in the future.

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Authors

  • Sophie Godin-BeekmannCentre National de la Recherche Scientifique

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  • P. J. Nair

  • A. Pazmiño

  • A. Hauchecorne

  • G. Ancellet

  • I. Petropavlovskikh

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