Abstract

Abstract. Chemistry–climate models are important tools for addressing interactions of composition and climate in the Earth system. In particular, they are used to assess the combined roles of greenhouse gases and ozone in Southern Hemisphere climate and weather. Here we present an evaluation of the Australian Community Climate and Earth System Simulator – chemistry–climate model (ACCESS-CCM), focusing on the Southern Hemisphere and the Australian region. This model is used for the Australian contribution to the international Chemistry–Climate Model Initiative, which is soliciting hindcast, future projection and sensitivity simulations. The model simulates global total column ozone (TCO) distributions accurately, with a slight delay in the onset and recovery of springtime Antarctic ozone depletion, and consistently higher ozone values. However, October-averaged Antarctic TCO from 1960 to 2010 shows a similar amount of depletion compared to observations. Comparison with model precursors shows large improvements in the representation of the Southern Hemisphere stratosphere, especially in TCO concentrations. A significant innovation is seen in the evaluation of simulated vertical profiles of ozone and temperature with ozonesonde data from Australia, New Zealand and Antarctica from 38 to 90° S. Excess ozone concentrations (greater than 26 % at Davis and the South Pole during winter) and stratospheric cold biases (up to 10 K at the South Pole during summer and autumn) outside the period of perturbed springtime ozone depletion are seen during all seasons compared to ozonesondes. A disparity in the vertical location of ozone depletion is seen: centred around 100 hPa in ozonesonde data compared to above 50 hPa in the model. Analysis of vertical chlorine monoxide profiles indicates that colder Antarctic stratospheric temperatures (possibly due to reduced mid-latitude heat flux) are artificially enhancing polar stratospheric cloud formation at high altitudes. The model's inability to explicitly simulate a supercooled ternary solution may also explain the lack of depletion at lower altitudes. Analysis of the simulated Southern Annular Mode (SAM) index compares well with ERA-Interim data, an important metric for correct representation of Australian climate. Accompanying these modulations of the SAM, 50 hPa zonal wind differences between 2001–2010 and 1979–1998 show increasing zonal wind strength southward of 60° S during December for both the model simulations and ERA-Interim data. These model diagnostics show that the model reasonably captures the stratospheric ozone-driven chemistry–climate interactions important for Australian climate and weather while highlighting areas for future model development.

Highlights

  • Coupled chemistry–climate models are designed to address the interactions between atmospheric chemistry and the other components of the climate system

  • The annual springtime depletion of Antarctic ozone is attributed to the anthropogenic emissions of ozone-depleting substances (ODSs), mostly chlorofluorocarbons (CFCs), the presence of the polar vortex, and the formation of polar stratospheric clouds (PSCs) within it (Solomon, 1999)

  • Chemistry–Climate Model Initiative (CCMI) is designed to bring together the current generation of global chemistry models. This includes chemistrytransport and chemistry–climate models (CCMs), some of which are coupled to an interactive ocean, to perform simulations to an agreed standard to help address questions relating to chemistry–climate interactions and inform future ozone assessments and Intergovernmental Panel on Climate Change (IPCC) reports

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Summary

Introduction

Antarctic ozone depletion over the previous half century has had a significant influence, equal to GHG increases, on Southern Hemisphere tropospheric climate during summer, mostly through the cooling of the stratosphere by ozone depletion affecting the Southern Annular Mode (SAM) in the late spring and summer, shifting surface wind patterns (Gillett and Thompson, 2003; Shindell and Schmidt, 2004; Arblaster and Meehl, 2006; Thompson et al, 2011; Canziani et al, 2014). CCMI is designed to bring together the current generation of global chemistry models This includes chemistrytransport and chemistry–climate models (CCMs), some of which are coupled to an interactive ocean, to perform simulations to an agreed standard to help address questions relating to chemistry–climate interactions and inform future ozone assessments and Intergovernmental Panel on Climate Change (IPCC) reports. Evaluation of the model is undertaken by comparing output to different observation and model data sets, described below

Total column ozone database
CCMVal-2
ERA-Interim
Ozonesondes
Microwave Limb Sounder
Global ozone
Historical time series
Southern annular mode
Zonal wind anomalies
Findings
Conclusions
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