Recent lower stratospheric ozone trends in CCMI‐2022 models: role of natural variability and transport
Lower stratospheric ozone between 60°S and 60°N has continued to decline since 1998, despite the reduction of ozone-depleting substances following the Montreal Protocol. Previous studies have shown that, while chemistry-climate models reproduce the negative ozone trend in the tropical lower stratosp...
| Autores: | , , , , , , , , , , , , , , , , , , , |
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| Tipo de documento: | artigo |
| Data de publicação: | 2025 |
| País: | España |
| Recursos: | Universidad Complutense de Madrid (UCM) |
| Repositório: | Docta Complutense |
| Idioma: | inglês |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/121002 |
| Acesso em linha: | https://hdl.handle.net/20.500.14352/121002 |
| Access Level: | Acceso aberto |
| Palavra-chave: | 551.51 Stratospheric ozone Chemistry-climate models Stratospheric transport Natural variability Física atmosférica 2509 Meteorología |
| Resumo: | Lower stratospheric ozone between 60°S and 60°N has continued to decline since 1998, despite the reduction of ozone-depleting substances following the Montreal Protocol. Previous studies have shown that, while chemistry-climate models reproduce the negative ozone trend in the tropical lower stratosphere as a response to increased upwelling, they fail to capture the ozone decline in northern midlatitudes. This study revisits recent lower stratospheric ozone trends over the period 1998–2018 using two types of simulations from the new Chemistry Climate Model Initiative 2022 (CCMI-2022): REF-D1, with observed sea surface temperatures, and REF-D2, with simulated ocean. The observed negative trend in midlatitudes falls within the range of model trends, especially when considering simulations with observed boundary conditions. There is a large spread in the simulated midlatitudes ozone trends, with some simulations showing positive and others negative trends. A multiple linear regression analysis shows that the spread in the trends is not explained by the different linear response to external forcings (solar cycle, global warming, and ozone-depleting substances) or to the main variability modes (El Niño-Southern Oscillation and the quasi-biennial oscillation) but is instead attributed to internal atmospheric variability. Moreover, the fact that some models show very different trends across members, while other models show similar trends in all members, suggests fundamental differences in the representation of the internal variability of ozone transport across models. Indeed, we report substantial intermodel differences in the ozone-transport connection on interannual timescales and we find that ozone trends are closely coupled to transport trends. |
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