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Changes inincoming solar ultraviolet radiation over the 11-year solar cycle affectstratospheric ozone abundances. It is important to quantify the magnitude,structure, and seasonality of the associated solar-ozone response (SOR) tounderstand the impact of the 11-year solar cycle on climate. Part 1 of thistwo-part study uses multiple linear regression analysis to extract the SOR ina number of recently updated satellite ozone datasets covering differentperiods within the epoch 1970 to 2013. The annual mean SOR in the updatedversion 7.0 (v7.0) Stratospheric Aerosol and Gas Experiment (SAGE) II numberdensity dataset (1984–2004) is very consistent with that found in theprevious v6.2. In contrast, we find a substantial decrease in the magnitudeof the SOR in the tropical upper stratosphere in the SAGE II v7.0 mixingratio dataset (∼ 1 %) compared to the v6.2 (∼ 4 %). Thisdifference is shown to be largely attributable to the change in theindependent stratospheric temperature dataset used to convert SAGE II ozonenumber densities to mixing ratios. Since these temperature records containsubstantial uncertainties, we suggest that datasets based on SAGE II numberdensities are currently most reliable for evaluating the SOR. We furtheranalyse three extended ozone datasets that combine SAGE II v7.0 numberdensities with more recent GOMOS (Global Ozone Monitoring by Occultation ofStars) or OSIRIS (Optical Spectrograph and Infrared Imager System)measurements. The extended SAGE–OSIRIS dataset (1984–2013) shows a smallerand less statistically significant SOR across much of the tropical upperstratosphere compared to the SAGE II data alone. In contrast, the twoSAGE–GOMOS datasets (1984–2011) show SORs that are in closer agreement withthe original SAGE II data and therefore appear to provide a more reliableestimate of the SOR. We also analyse the SOR in the recent Solar BackscatterUltraviolet Instrument (SBUV) Merged Ozone Dataset (SBUVMOD) version 8.6(VN8.6) (1970–2012) and SBUV Merged Cohesive VN8.6 (1978–2012) datasets andcompare them to the previous SBUVMOD VN8.0 (1970–2009). Over their fulllengths, the three records generally agree in terms of the broad magnitudeand structure of the annual mean SOR. The main difference is that SBUVMODVN8.6 shows a smaller and less significant SOR in the tropical upperstratosphere and therefore more closely resembles the SAGE II v7.0 mixingratio data than does the SBUV Merged Cohesive VN8.6, which has a morecontinuous SOR of ∼ 2 % in this region. The sparse spatial andtemporal sampling of limb satellite instruments prohibits the extraction ofsub-annual variations in the SOR from SAGE-based datasets. However, theSBUVMOD VN8.6 dataset suggests substantial month-to-month variations in theSOR, particularly in the winter extratropics, which may be important for theproposed high-latitude dynamical response to the solar cycle. Overall, theresults highlight substantial uncertainties in the magnitude and structure ofthe observed SOR from different satellite records. The implications of theseuncertainties for understanding and modelling the effects of solarvariability on climate should be explored

The representation of solar cycle signals in stratospheric ozone – Part 1: A comparison of recently updated satellite observations