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

• Published in: Atmospheric chemistry and physics 2016-08, Vol.16 (15), p.10021-10043
• Main Authors: Maycock, Amanda C, Matthes, Katja, Tegtmeier, Susann, Thiéblemont, Rémi, Hood, Lon
• Format: Article
• Language: English
• Subjects: Annual variations; Atmospheric chemistry; Backscatter; Backscattering; Climate; Climate effects; Climate models; Climate variability; Data; Datasets; Global ozone; Instruments; Mixing ratio; Modelling; Monitoring instruments; Occultation; Ozone; Ozone mixing ratio; Ozone monitoring; Pollution monitoring; Ratios; Records; Regression analysis; SAGE satellite; Satellite instruments; Satellite observation; Satellite-borne instruments; Satellites; Seasonal variations; Seasonality; Solar Backscatter Ultraviolet Radiometer (SBUV); Solar cycle; Solar radiation; Solar ultraviolet radiation; Solar variability; Statistical analysis; Stratosphere; Studies; Temperature; Tropical climate; Ultraviolet radiation; Uncertainty; Upper stratosphere
• ISSN: 1680-7324; 1680-7316; 1680-7324
• DOI: 10.5194/acp-16-10021-2016

Changes in incoming solar ultraviolet radiation over the 11-year solar cycle affect stratospheric ozone abundances. It is important to quantify the magnitude, structure, and seasonality of the associated solar-ozone response (SOR) to understand the impact of the 11-year solar cycle on climate. Part 1 of this two-part study uses multiple linear regression analysis to extract the SOR in a number of recently updated satellite ozone datasets covering different periods within the epoch 1970 to 2013. The annual mean SOR in the updated version 7.0 (v7.0) Stratospheric Aerosol and Gas Experiment (SAGE) II number density dataset (1984–2004) is very consistent with that found in the previous v6.2. In contrast, we find a substantial decrease in the magnitude of the SOR in the tropical upper stratosphere in the SAGE II v7.0 mixing ratio dataset (∼ 1 %) compared to the v6.2 (∼ 4 %). This difference is shown to be largely attributable to the change in the independent stratospheric temperature dataset used to convert SAGE II ozone number densities to mixing ratios. Since these temperature records contain substantial uncertainties, we suggest that datasets based on SAGE II number densities are currently most reliable for evaluating the SOR. We further analyse three extended ozone datasets that combine SAGE II v7.0 number densities with more recent GOMOS (Global Ozone Monitoring by Occultation of Stars) or OSIRIS (Optical Spectrograph and Infrared Imager System) measurements. The extended SAGE–OSIRIS dataset (1984–2013) shows a smaller and less statistically significant SOR across much of the tropical upper stratosphere compared to the SAGE II data alone. In contrast, the two SAGE–GOMOS datasets (1984–2011) show SORs that are in closer agreement with the original SAGE II data and therefore appear to provide a more reliable estimate of the SOR. We also analyse the SOR in the recent Solar Backscatter Ultraviolet Instrument (SBUV) Merged Ozone Dataset (SBUVMOD) version 8.6 (VN8.6) (1970–2012) and SBUV Merged Cohesive VN8.6 (1978–2012) datasets and compare them to the previous SBUVMOD VN8.0 (1970–2009). Over their full lengths, the three records generally agree in terms of the broad magnitude and structure of the annual mean SOR. The main difference is that SBUVMOD VN8.6 shows a smaller and less significant SOR in the tropical upper stratosphere and therefore more closely resembles the SAGE II v7.0 mixing ratio data than does the SBUV Merged Cohesive VN8.6, which has a more co