Accessibility navigation

Chapter 5: Time series and trend results

Hassler, B., Damadeo, R., Chang, K.-L., Sofieva, V. F., Tourpali, K., Frith, S. M., Ball, W. T., Degenstein, D. A., Godin-Beekmann, S., Hubert, D., Maillard-Barras, E., Misios, S., Petropavlovskikh, I., Roth, C. Z., Steinbrecht, W., Vigouroux, C., von Clarmann, T., Zawada, D. J., Zerefos, C. S., Alsing, J. , Balis, D., Coldewey-Egbers, M., Eleftheratos, K., Gruzdev, A., Kapsomenakis, J., Laeng, A., Laine, M., Taylor, M., Weber, M. and Wild, J. D. (2019) Chapter 5: Time series and trend results. In: Petropavlovskikh, I., Godin-Beekmann, S., Hubert, D., Damadeo, R., Hassler, B. and Sofieva, V. (eds.) SPARC/IO3C/GAW, 2019: SPARC/IO3C/GAW Report on Long-term Ozone Trends and Uncertainties in the Stratosphere. SPARC, pp. 51-70. (SPARC Report No. 9, GAW Report No. 241, WCRP-17/2018, available at

Text - Published Version
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.17874/f899e57a20b


The ultimate goal of LOTUS is to improve confidence in calculated ozone trend values via an improved understanding of the uncertainties. Chapter 3 highlighted many of the challenges facing analyses of long-term ozone time series, and despite the fact that many of those challenges still need to be addressed, it is worthwhile to assess the trend results from this work in such a way as to be able to place those in the context of previous work. This chapter highlights the results of taking the "LOTUS regression" model from Chapter 4 and applying it to the different data sets (i.e., satellite, ground, and model) at different resolutions comparable to those in previous ozone assessments and comprehensive studies (e.g., WMO, 2014; Harris et al., 2015; Steinbrecht et al., 2017). The individual satellite-based trend results are then combined to obtain a single mean ozone trend profile with respective uncertainty estimates. This important yet challenging final step in the assessment has been the cause of debate in the community in recent years. Different methods for combining the individual trend results are discussed and explained, and the final trend profile estimates are analysed for significance.

Item Type:Book or Report Section
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:82512
Additional Information:Available at


Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation