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The ozone profile records of a large number of limb and occultation satelliteinstruments are widely used to address several key questions in ozoneresearch. Further progress in some domains depends on a more detailedunderstanding of these data sets, especially of their long-term stability andtheir mutual consistency. To this end, we made a systematic assessment of 14 limb and occultation sounders that, together, provide more thanthree decades of global ozone profile measurements. In particular, weconsidered the latest operational Level-2 records by SAGE II,SAGE III, HALOE, UARS MLS, Aura MLS, POAM II, POAM III, OSIRIS, SMR, GOMOS,MIPAS, SCIAMACHY, ACE-FTS and MAESTRO. Central toour work is a consistent and robust analysis of the comparisons against theground-based ozonesonde and stratospheric ozone lidar networks. It allowed usto investigate, from the troposphere up to the stratopause, the followingmain aspects of satellite data quality: long-term stability, overall biasand short-term variability, together with their dependence on geophysicalparameters and profile representation. In addition, it permitted us toquantify the overall consistency between the ozone profilers. Generally, wefound that between 20 and 40 km the satellite ozone measurement biasesare smaller than ±5 %, the short-term variabilities are less than5–12 % and the drifts are at most ±5 % decade<sup>−1</sup> (or even±3 % decade<sup>−1</sup> for a few records). The agreement withground-based data degrades somewhat towards the stratopause and especiallytowards the tropopause where natural variability and low ozone abundancesimpede a more precise analysis. In part of the stratosphere a few recordsdeviate from the preceding general conclusions; we identified biases of10 % and more (POAM II and SCIAMACHY), markedly higher single-profilevariability (SMR and SCIAMACHY) and significant long-term drifts (SCIAMACHY,OSIRIS, HALOE and possibly GOMOS and SMR as well). Furthermore, we reflectedon the repercussions of our findings for the construction, analysis andinterpretation of merged data records. Most notably, the discrepanciesbetween several recent ozone profile trend assessments can be mostlyexplained by instrumental drift. This clearly demonstrates the need forsystematic comprehensive multi-instrument comparison analyses

Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records