The explosive Hunga Tonga eruption in 2022 had several characteristics that are unique in the recent observational record. Its effects on the atmosphere are of great scientific interest and have included rapidly propagating patterns of Lamb and gravity waves and long-lived anomalies in stratospheric water vapour. This modelling study demonstrates how, through a coupled sequence of chemical, radiative and dynamical mechanisms, the additional water vapour in the tropical upper stratosphere is likely to have had a significant effect on the wintertime circulation of the stratosphere and hence the troposphere in Northern Hemisphere mid- and high latitudes. These results on the fascinating Hunga Tonga event have wider relevance to perturbations of the climate system where the initial impact is stratospheric but important secondary effects are felt elsewhere, including at the surface.

Volcanic aerosol can persist in the stratosphere for many months and have a significant cooling effect on the troposphere. The effects of the eruption of Mount Pinatubo in 1991 are an important recent example. The time that aerosol remains in the stratosphere is determined by the combined effects of transport and sedimentation. This paper sets out a simple conceptual framework for capturing these effects and combines it with observations and modelling to give robust estimates of key timescales. This framework will be valuable in studies of future eruptions and in studies of artificial stratospheric aerosol injection as a possible approach to solar radiation modification.

Measurement datasets of cloud condensation nuclei (CCN) are vital for our understanding of aerosol-cloud interaction and reliable climate modelling. This study analyses and compares the only two global CCN datasets derived from satellite and reanalysis data. These key datasets are found to disagree over pristine oceans in terms of their climatology as well as seasonal and annual variations. Given the importance of CCN as a fundamental property in climate model simulations, further research is needed to reconcile these differences and to produce an observation-based dataset that can be confidently used to evaluate our understanding.