Tang, T, Shindell, D, Faluvegi, G et al. (16 more authors) (2019) Comparison of Effective Radiative Forcing Calculations Using Multiple Methods, Drivers, and Models. Journal of Geophysical Research: Atmospheres, 124 (8). pp. 4382-4394. ISSN 2169-897X
Abstract
We compare six methods of estimating effective radiative forcing (ERF) using a set of atmosphere‐ocean general circulation models. This is the first multiforcing agent, multimodel evaluation of ERF values calculated using different methods. We demonstrate that previously reported apparent consistency between the ERF values derived from fixed sea surface temperature simulations and linear regression holds for most climate forcings, excluding black carbon (BC). When land adjustment is accounted for, however, the fixed sea surface temperature ERF values are generally 10–30% larger than ERFs derived using linear regression across all forcing agents, with a much larger (~70–100%) discrepancy for BC. Except for BC, this difference can be largely reduced by either using radiative kernel techniques or by exponential regression. Responses of clouds and their effects on shortwave radiation show the strongest variability in all experiments, limiting the application of regression‐based ERF in small forcing simulations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 American Geophysical Union. All Rights Reserved. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | PDRMIP; effective radiative forcing; aerosol; regression |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) |
Funding Information: | Funder Grant number NERC NE/N006038/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Apr 2019 15:07 |
Last Modified: | 02 Oct 2019 00:40 |
Status: | Published |
Publisher: | American Geophysical Union |
Identification Number: | 10.1029/2018JD030188 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:145460 |