dc.contributor.author | Gryspeerdt, E | |
dc.contributor.author | Mülmenstädt, J | |
dc.contributor.author | Gettelman, A | |
dc.contributor.author | Malavelle, FF | |
dc.contributor.author | Morrison, H | |
dc.contributor.author | Neubauer, D | |
dc.contributor.author | Partridge, DG | |
dc.contributor.author | Stier, P | |
dc.contributor.author | Takemura, T | |
dc.contributor.author | Wang, H | |
dc.contributor.author | Wang, M | |
dc.contributor.author | Zhang, K | |
dc.date.accessioned | 2020-08-03T11:06:18Z | |
dc.date.issued | 2020-01-17 | |
dc.description.abstract | The radiative forcing from aerosols (particularly through their interaction with clouds) remains one of the most uncertain components of the human forcing of the climate. Observation-based studies have typically found a smaller aerosol effective radiative forcing than in model simulations and were given preferential weighting in the Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5). With their own sources of uncertainty, it is not clear that observation-based estimates are more reliable. Understanding the source of the model and observational differences is thus vital to reduce uncertainty in the impact of aerosols on the climate. These reported discrepancies arise from the different methods of separating the components of aerosol forcing used in model and observational studies. Applying the observational decomposition to global climate model (GCM) output, the two different lines of evidence are surprisingly similar, with a much better agreement on the magnitude of aerosol impacts on cloud properties. Cloud adjustments remain a significant source of uncertainty, particularly for ice clouds. However, they are consistent with the uncertainty from observation-based methods, with the liquid water path adjustment usually enhancing the Twomey effect by less than 50%. Depending on different sets of assumptions, this work suggests that model and observation-based estimates could be more equally weighted in future synthesis studies. | en_GB |
dc.description.sponsorship | Imperial College Junior Research Fellowship | en_GB |
dc.description.sponsorship | German Research Foundation | en_GB |
dc.description.sponsorship | European Union’s Horizon 2020 research and innovation programme | en_GB |
dc.description.sponsorship | JSPS KAKENHI | en_GB |
dc.description.sponsorship | US Department of Energy (DOE) Biological and Environmental Research | en_GB |
dc.description.sponsorship | Office of Science of US Department of Energy | en_GB |
dc.description.sponsorship | Swiss National Supercomputing Centre | en_GB |
dc.identifier.citation | Vol. 20, pp. 613 - 623 | en_GB |
dc.identifier.doi | 10.5194/acp-20-613-2020 | |
dc.identifier.grantnumber | NE/L013886/1 | en_GB |
dc.identifier.grantnumber | 724602 | en_GB |
dc.identifier.grantnumber | NE/L01355X/1 | en_GB |
dc.identifier.grantnumber | NE/P013406/1 | en_GB |
dc.identifier.grantnumber | JP19H05669 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/122289 | |
dc.language.iso | en | en_GB |
dc.publisher | European Geosciences Union; Copernicus Publications | en_GB |
dc.rights | © 2020 The Author(s). Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | en_GB |
dc.subject | aerosol radiative forcing estimates | en_GB |
dc.title | Surprising similarities in model and observational aerosol radiative forcing estimates | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-08-03T11:06:18Z | |
dc.identifier.issn | 1680-7316 | |
dc.description | This is the final version. Available from European Geosciences Union and Copernicus Publications via the DOI in this record. | en_GB |
dc.description | Code availability. The HadGEM3 code is available from https://code.metoffice.gov.uk/ (last access: 1 May 2019) for
registered users. To register for an account, users should contact their local institutional sponsor or email scientific_partnerships@metoffice.gov.uk | en_GB |
dc.identifier.journal | Atmospheric Chemistry and Physics | en_GB |
dc.rights.uri | http://www.rioxx.net/licenses/all-rights-reserved | en_GB |
dcterms.dateAccepted | 2019-11-04 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-01-17 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-08-03T10:56:55Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-08-03T11:06:21Z | |
refterms.panel | B | en_GB |
refterms.depositException | publishedGoldOA | |
refterms.depositExceptionExplanation | https://acp.copernicus.org/articles/20/613/2020/#section11 | |