Abstract

Abstract. Free-running and nudged versions of a Met Office chemistry–climate model are evaluated and used to investigate the impact of dynamics versus transport and chemistry within the model on the simulated evolution of stratospheric ozone. Metrics of the dynamical processes relevant for simulating stratospheric ozone are calculated, and the free-running model is found to outperform the previous model version in 10 of the 14 metrics. In particular, large biases in stratospheric transport and tropical tropopause temperature, which existed in the previous model version, are substantially reduced, making the current model more suitable for the simulation of stratospheric ozone. The spatial structure of the ozone hole, the area of polar stratospheric clouds, and the increased ozone concentrations in the Northern Hemisphere winter stratosphere following sudden stratospheric warmings, were all found to be sensitive to the accuracy of the dynamics and were better simulated in the nudged model than in the free-running model. Whilst nudging can, in general, provide a useful tool for removing the influence of dynamical biases from the evolution of chemical fields, this study shows that issues can remain in the climatology of nudged models. Significant biases in stratospheric vertical velocities, age of air, water vapour, and total column ozone still exist in the Met Office nudged model. Further, these can lead to biases in the downward flux of ozone into the troposphere.

Highlights

  • Previous studies have identified numerous couplings between ozone, greenhouse gases, tropospheric ozone precursors and stratospheric ozone-depleting substances, and climate change

  • Metrics of dynamical processes relevant for the simulation of stratospheric ozone were calculated for all model configurations

  • These were compared against the metrics as recalculated over the period 1980–2010 for the previous model configuration, UMUKCA-METO, used in CCMVal-2 (Morgenstern et al, 2010)

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Summary

Introduction

Previous studies have identified numerous couplings between ozone, greenhouse gases, tropospheric ozone precursors and stratospheric ozone-depleting substances, and climate change. For simulations requiring ocean and sea ice components, the Nucleus for European Modelling of the Ocean (NEMO v3.4; Madec, 2008) model, with a 1◦ resolution (ORCA-1) and 70 vertical levels, is used along with the Los Alamos sea ice model (CICE v4.1; Hunke and Lipscomb, 2008) This configuration represents a significant improvement in the physical model since the Met Office’s contribution (Morgenstern et al, 2010) to the Chemistry–Climate Model Validation activity 2 (CCMVal-2; Eyring et al, 2008). The results shown in this paper come from HadGEM3-ES simulations set up to follow the Chemistry–Climate Model Initiative (CCMI) reference simulations (Morgenstern et al, 2017) These include a single ensemble member for both the atmosphere-only historical simulation (REF-C1) and the coupled atmosphere–ocean historical and future simulation (REF-C2), which begin in 1960, as described in Eyring et al (2013). We analyse the period 1980–2010 in this study

Metrics
Dynamics
High latitudes
Tropics
Conclusions
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