Abstract. Six collocated spectrophotometers based in Arosa/Davos, Switzerland, have been measuring ozone profiles continuously since 1956 for the oldest
Dobson instrument and since 2005 for the Brewer instruments. The datasets of these two ground-based triads (three Dobsons and three Brewers) allow for
continuous intercomparisons and derivation of long-term trend estimates. Mainly, two periods in the post-2000 Dobson D051 dataset show anomalies
when compared to the Brewer triad time series: in 2011–2013, an offset has been attributed to technical interventions during the renewal of the
spectrophotometer acquisition system, and in 2018, an offset with respect to the Brewer triad has been detected following an instrumental change on
the spectrophotometer wedge. In this study, the worldwide longest Umkehr dataset (1956–2020) is carefully homogenized using collocated and simultaneous Dobson and Brewer
measurements. A recently published report (Garane et al., 2022) described results of an independent homogenization of the same dataset performed by
comparison to the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) Global Modeling Initiative (M2GMI) model
simulations. In this paper, the two versions of homogenized Dobson D051 records are intercompared to analyze residual differences found during the
correction periods. The Aura Microwave Limb Sounder (MLS) station overpass record (2005–2020) is used as an independent reference for the
comparisons. The two homogenized data records show common correction periods, except for the 2017–2018 period, and the corrections are similar in
magnitude. In addition, the post-2000 ozone profile trends are estimated from the two homogenized Dobson D051 time series by dynamical linear modeling (DLM),
and results are compared with the DLM trends derived from the collocated Brewer Umkehr time series. By first investigating the long-term Dobson
ozone record for trends using the well-established multilinear regression (MLR) method, we find that the trends obtained by both MLR and DLM
techniques are similar within their uncertainty ranges in the upper and middle stratosphere but that the trend's significances differ in the lower
stratosphere. Post-2000 DLM trend estimates show a positive trend of 0.2 to 0.5 % yr−1 above 35 km, significant for Dobson D051 but lower and
therefore nonsignificantly different from zero at the 95 % level of confidence for Brewer B040. As shown for the Dobson D051 data record, the
trend only seems to become significantly positive in 2004. Moreover, a persistent negative trend is estimated in the middle stratosphere between 25
and 30 km. In the lower stratosphere, the trend is negative at 20 km, with different levels of significance depending on the period
and on the dataset.