Abstract

Abstract. The ground-based radiometer GROMOS, stationed in Bern (47.95° N, 7.44° E), Switzerland, has a unique data set: it obtains ozone profiles from November 1994 to present with a time resolution of 30 min and equivalent quality during night- and daytime. Here, we derive a monthly climatology of the daily ozone cycle from 17 years of GROMOS observation. We present the diurnal ozone variation of the stratosphere and mesosphere. Characterizing the diurnal cycle of stratospheric ozone is important for correct trend estimates of the ozone layer derived from satellite observations. The diurnal ozone cycle from GROMOS is compared to two models: the Whole Atmosphere Community Climate Model (WACCM) and the Hamburg Model of Neutral and Ionized Atmosphere (HAMMONIA). Generally, observation and models show a good agreement: in the lower mesosphere, daytime ozone is for both GROMOS and models around 25% less than midnight ozone. In the stratosphere, ozone reaches its maximum in the afternoon showing values several percent larger than the midnight value. Further, GROMOS and models indicate a seasonal behaviour of the diurnal ozone variations in the stratosphere with a larger afternoon maximum during daytime in summer than in winter. Using the 17 years of ozone profiles from GROMOS, we find strong interannual variations in the diurnal ozone cycle for both the stratosphere and the mesosphere. Interannual variability in temperature, atmospheric circulation and composition may explain the observed interannual variability of the diurnal ozone cycle above Bern.

Highlights

  • There are numerous reasons to study the diurnal variation in stratospheric and mesospheric ozone

  • The observational results from GROMOS have been compared with simulation outputs from the high-resolution chemistry climate models Whole Atmosphere Community Climate Model (WACCM) and HAMMONIA

  • We find that observation and models are generally consistent

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Summary

Introduction

There are numerous reasons to study the diurnal variation in stratospheric and mesospheric ozone. The diurnal ozone variation can be utilized as a benchmark for photochemical and transport models (Herman, 1979; Pallister and Tuck, 1983). The diurnal ozone variation can serve as a natural test signal for remote sensing instruments and data retrieval techniques (Parrish et al, 2013). An accurate assessment of the diurnal ozone variation is needed for a reliable trend detection in the global ozone distribution. Satellites are in different sun-synchronous orbits, and they sample ozone data at different local solar time (LST). Merging of ozone data sets from different satellites without properly accounting for the diurnal ozone variation can result in a systematic bias in the determined ozone trend

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