Surprising similarities in model and observational aerosol radiative forcing estimates.


Journal

Atmospheric chemistry and physics
ISSN: 1680-7316
Titre abrégé: Atmos Chem Phys
Pays: Germany
ID NLM: 101214388

Informations de publication

Date de publication:
Jan 2020
Historique:
entrez: 18 11 2020
pubmed: 19 11 2020
medline: 19 11 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33204244
doi: 10.5194/acp-20-613-2020
pmc: PMC7668122
mid: NIHMS1643833
doi:

Types de publication

Journal Article

Langues

eng

Pagination

613-623

Subventions

Organisme : Intramural NASA
ID : 80NSSC19K0442
Pays : United States

Déclaration de conflit d'intérêts

Competing interests. The authors declare that they have no conflict of interest.

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Auteurs

Edward Gryspeerdt (E)

Space and Atmospheric Physics Group, Imperial College London, London, UK.

Johannes Mülmenstädt (J)

Institute for Meteorology, Universität Leipzig, Leipzig, Germany.

Andrew Gettelman (A)

National Center for Atmospheric Research, Boulder, USA.

Florent F Malavelle (FF)

College of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
Met Office, Fitzroy Road, Exeter, UK.

Hugh Morrison (H)

National Center for Atmospheric Research, Boulder, USA.

David Neubauer (D)

Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.

Daniel G Partridge (DG)

College of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter, UK.

Philip Stier (P)

Atmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK.

Toshihiko Takemura (T)

Research Institute for Applied Mathematics, Kyushu University, Fukuoka, Japan.

Hailong Wang (H)

Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, USA.

Minghuai Wang (M)

Institute for Climate and Global Change Research, Nanjing University, Nanjing, China.
School of Atmospheric Sciences, Nanjing University, Nanjing, China.
Collaborative Innovation Center of Climate Change, Nanjing, China.

Kai Zhang (K)

Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, USA.

Classifications MeSH