Published in

IOP Publishing, Environmental Research Letters, 2(18), p. 024032, 2023

DOI: 10.1088/1748-9326/acb0e6

Links

Tools

Export citation

Search in Google Scholar

The impact of different CO<sub>2</sub> and ODS levels on the mean state and variability of the springtime Arctic stratosphere

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Abstract Rising greenhouse gases (GHG) and decreasing anthropogenic ozone-depleting substances (ODS) are the main drivers of the stratospheric climate evolution in the 21st century. However, the coupling between stratospheric composition, radiation and dynamics is subject to many uncertainties, which is partly because of the simplistic representation of ozone (O3) in many current climate models. Changes in ozone due to heterogeneous chemistry are known to be the largest during springtime in the Arctic, which is also a season with very active stratosphere–troposphere coupling. The focus of this study is to investigate the role of varying ozone levels driven by changing GHG and ODS for the Arctic polar cap stratosphere. We use two state-of-the-art chemistry-climate models with ocean coupling in two configurations (prescribed ozone fields vs. interactive ozone chemistry) for three different scenarios: preindustrial conditions—1 × CO2, year 2000 conditions (peak anthropogenic ODS levels) and extreme future conditions—4 × CO2. Our results show that in the upper and middle stratosphere CO2 thermal cooling is the dominant effect determining the temperature response under 4 × CO2, and outweighs warming effects of ozone by about a factor of ten. In contrast, in the lower stratosphere, the effects of O3 warming and CO2 cooling under 4 × CO2 are largely offsetting each other. ODS driven variations in O3 affect both the temperature mean and variability, and are responsible for the tight springtime coupling between composition and dynamics under year 2000 conditions in comparison to simulations under 1 × CO2 or 4 × CO2.