Multifaceted aerosol effects on precipitation

Philip Stier*, Susan C. van den Heever*, Matthew W. Christensen, Edward Gryspeerdt, Guy Dagan, Stephen M. Saleeby, Massimo Bollasina, Leo Donner, Kerry Emanuel, Annica M.L. Ekman, Graham Feingold, Paul Field, Piers Forster, Jim Haywood, Ralph Kahn, Ilan Koren, Christian Kummerow, Tristan L’Ecuyer, Ulrike Lohmann, Yi MingGunnar Myhre, Johannes Quaas, Daniel Rosenfeld, Bjorn Samset, Axel Seifert, Graeme Stephens, Wei Kuo Tao

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Aerosols have been proposed to influence precipitation rates and spatial patterns from scales of individual clouds to the globe. However, large uncertainty remains regarding the underlying mechanisms and importance of multiple effects across spatial and temporal scales. Here we review the evidence and scientific consensus behind these effects, categorized into radiative effects via modification of radiative fluxes and the energy balance, and microphysical effects via modification of cloud droplets and ice crystals. Broad consensus and strong theoretical evidence exist that aerosol radiative effects (aerosol–radiation interactions and aerosol–cloud interactions) act as drivers of precipitation changes because global mean precipitation is constrained by energetics and surface evaporation. Likewise, aerosol radiative effects cause well-documented shifts of large-scale precipitation patterns, such as the intertropical convergence zone. The extent of aerosol effects on precipitation at smaller scales is less clear. Although there is broad consensus and strong evidence that aerosol perturbations microphysically increase cloud droplet numbers and decrease droplet sizes, thereby slowing precipitation droplet formation, the overall aerosol effect on precipitation across scales remains highly uncertain. Global cloud-resolving models provide opportunities to investigate mechanisms that are currently not well represented in global climate models and to robustly connect local effects with larger scales. This will increase our confidence in predicted impacts of climate change.

Original languageEnglish
Pages (from-to)719-732
Number of pages14
JournalNature Geoscience
Volume17
Issue number8
DOIs
StatePublished - Aug 2024

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© Springer Nature Limited 2024.

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