Abstract

Abstract. The Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) was used to study the effect of extreme weather events on ozone in the US for historical (2001–2010) and future (2046–2055) periods under the RCP8.5 scenario. During extreme weather events, including heat waves, atmospheric stagnation, and their compound events, ozone concentration is much higher compared to the non-extreme events period. A striking enhancement of effect during compound events is revealed when heat wave and stagnation occur simultaneously as both high temperature and low wind speed promote the production of high ozone concentrations. In regions with high emissions, compound extreme events can shift the high-end tails of the probability density functions (PDFs) of ozone to even higher values to generate extreme ozone episodes. In regions with low emissions, extreme events can still increase high-ozone frequency but the high-end tails of the PDFs are constrained by the low emissions. Despite the large anthropogenic emission reduction projected for the future, compound events increase ozone more than the single events by 10 to 13 %, comparable to the present, and high-ozone episodes with a maximum daily 8 h average (MDA8) ozone concentration over 70 ppbv are not eliminated. Using the CMIP5 multi-model ensemble, the frequency of compound events is found to increase more dominantly compared to the increased frequency of single events in the future over the US, Europe, and China. High-ozone episodes will likely continue in the future due to increases in both frequency and intensity of extreme events, despite reductions in anthropogenic emissions of its precursors. However, the latter could reduce or eliminate extreme ozone episodes; thus improving projections of compound events and their impacts on extreme ozone may better constrain future projections of extreme ozone episodes that have detrimental effects on human health.

Highlights

  • Tropospheric ozone is a secondary air pollutant resulting from complicated photochemical reactions in the presence of its precursors such as volatile organic compounds, NOx, and CO (Placet et al, 2000)

  • The Air Quality System (AQS) dataset was used in this study to evaluate how well the WRF-Chem model performs in simulating ozone concentrations, high ozone concentrations that are more strongly related to extreme weather events

  • Comparing the effects of different types of extreme weather events on ozone concentrations, the effect of heat waves on ozone formation is generally larger than the effect of atmospheric stagnation, whereas the compound effect is larger than the effect of either type of single extreme weather event

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Summary

Introduction

Tropospheric ozone is a secondary air pollutant resulting from complicated photochemical reactions in the presence of its precursors such as volatile organic compounds, NOx, and CO (Placet et al, 2000). Heat waves and atmospheric stagnation are two key environmental factors that may lead to compound effect, as high surface temperature under atmospheric stagnation with low wind speed, clear sky, and reduced precipitation and soil moisture may escalate into a heat wave. This motivates the present study to investigate the compound effect of the simultaneous occurrence of heat waves and atmospheric stagnation on ozone pollution. This study combines analysis of regional online-coupled meteorology– chemistry simulations and analysis of the CMIP5 multimodel ensemble to investigate the impact of extreme weather events on ozone concentration in the present and future climate. Future changes of extreme weather events are discussed in the broader context of the multi-model CMIP5 ensemble

Model description and configuration
Evaluation of extreme weather events
Evaluation of meteorology and ozone
20. MRI-CGCM3
Evaluation of ozone concentrations during extreme weather events
Impacts of single and compound extreme events on ozone concentrations
Impacts of climate change on ozone concentrations
Changes of extreme weather events in the future by CMIP5
Conclusions and discussions
Full Text
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