1
IRUS TotalDownloads
Altmetric
Multifaceted aerosol effects on precipitation
File | Description | Size | Format | |
---|---|---|---|---|
stier_etal_NatGeosci2024_accepted.pdf | Accepted version | 1.98 MB | Adobe PDF | View/Open |
Title: | Multifaceted aerosol effects on precipitation |
Authors: | Stier, P Van den Heever, SC Christensen, MW Gryspeerdt, E Dagan, G Saleeby, SM Bollasina, M Donner, L Emanuel, K Ekman, AML Feingold, G Field, P Forster, P Haywood, J Kahn, R Koren, I Kummerow, C L’Ecuyer, T Lohmann, U Ming, Y Myhre, G Quaas, J Rosenfeld, D Samset, B Seifert, A Stephens, G Tao, W-K |
Item Type: | Journal Article |
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. |
Issue Date: | Aug-2024 |
Date of Acceptance: | 7-Jun-2024 |
URI: | http://hdl.handle.net/10044/1/113874 |
DOI: | 10.1038/s41561-024-01482-6 |
ISSN: | 1752-0894 |
Publisher: | Nature Research |
Start Page: | 719 |
End Page: | 732 |
Journal / Book Title: | Nature Geoscience |
Volume: | 17 |
Issue: | 8 |
Copyright Statement: | Copyright © Springer Nature Limited 2024 . This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy) |
Publication Status: | Published |
Online Publication Date: | 2024-08-09 |
Appears in Collections: | Grantham Institute for Climate Change |
This item is licensed under a Creative Commons License