Imperial College London
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ProfessorApostolosVoulgarakis

Faculty of Natural Sciences, Department of Physics

Professor in Global Climate and Environmental Change
 
 
 
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Contact

 

a.voulgarakis Website

 
 
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Location

 

Huxley 709BHuxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Tang:2019:10.1029/2018JD030188,
author = {Tang, T and Shindell, D and Faluvegi, G and Myhre, G and Olivié, D and Voulgarakis, A and Kasoar, M and Andrews, T and Boucher, O and Forster, PM and Hodnebrog and Iversen, T and Kirkevåg, A and Lamarque, JF and Richardson, T and Samset, BH and Stjern, CW and Takemura, T and Smith, C},
doi = {10.1029/2018JD030188},
journal = {Journal of Geophysical Research: Atmospheres},
pages = {4382--4394},
title = {Comparison of effective radiative forcing calculations using multiple methods, drivers, and models},
url = {http://dx.doi.org/10.1029/2018JD030188},
volume = {124},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - American Geophysical Union. All Rights Reserved. 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.
AU  - Tang,T
AU  - Shindell,D
AU  - Faluvegi,G
AU  - Myhre,G
AU  - Olivié,D
AU  - Voulgarakis,A
AU  - Kasoar,M
AU  - Andrews,T
AU  - Boucher,O
AU  - Forster,PM
AU  - Hodnebrog
AU  - Iversen,T
AU  - Kirkevåg,A
AU  - Lamarque,JF
AU  - Richardson,T
AU  - Samset,BH
AU  - Stjern,CW
AU  - Takemura,T
AU  - Smith,C
DO  - 10.1029/2018JD030188
EP  - 4394
PY  - 2019///
SN  - 2169-897X
SP  - 4382
TI  - Comparison of effective radiative forcing calculations using multiple methods, drivers, and models
T2  - Journal of Geophysical Research: Atmospheres
UR  - http://dx.doi.org/10.1029/2018JD030188
UR  - http://hdl.handle.net/10044/1/70156
VL  - 124
ER  -
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