In this work we provide an update through 2018 of the evolution of changes in the zonal mean vertical distribution of ozone from a number of models participating in the CCMI phase 1 project, using ozone data from the REF-C2 series of simulations. Trends are calculated for the pre- and post-2000 periods, in accordance to the regression analysis and tools presented in the LOTUS SPARC Project and...
In this work, we analyse the seasonal dependence of ozone trends in the stratosphere using four long-term merged datasets: SAGE-CCI-OMPS, SAGE-OSIRIS-OMPS, GOZCARDS and SWOOSH, which provide more than 30 years of monthly zonal mean ozone profiles in the stratosphere. We focus here on trends between 2000 and 2018. All datasets show similar results, although some discrepancies are observed. In...
Reliable ozone trends after 2000 are essential to detect early ozone recovery. However, the long-term ground-based and satellite ozone profile trends reported in the literature show a high variability. In order to determine what part of the variability between different datasets comes from measurement timing, Payerne microwave radiometer (MWR) and chemistry-climate model (SOCOL v 3.0) trends...
Multiple linear regression does a surprisingly good job at reproducing the time series of annual mean total ozone since 1968 at Hohenpeissenberg. Hockey-stick and EESC fit give virtually the same long-term trends: significant decline from 1968 to 1997 and consistent increase from 1998 to now. Recently I also tried the Alsing & Ball DLM model - with very similar long-term variation. In my...
Both stratospheric and tropospheric ozone have changed in concentration over the past few decades and further changes can be expected in the coming decades both as byproducts of human activity and as a result of efforts to limit factors which can affect ozone concentrations. The stratospheric community has been part of an international effort to develop methods of analyzing ozone data for...
