Radiative effect and climate impacts of brown carbon with the Community Atmosphere Model (CAM5)
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Published:2018-12-14
Issue:24
Volume:18
Page:17745-17768
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Brown Hunter, Liu Xiaohong, Feng YanORCID, Jiang YiquanORCID, Wu MingxuanORCID, Lu Zheng, Wu ChenglaiORCID, Murphy Shane, Pokhrel RudraORCID
Abstract
Abstract. A recent development in the representation of aerosols in climate models is
the realization that some components of organic aerosol (OA), emitted from
biomass and biofuel burning, can have a significant contribution to
shortwave radiation absorption in the atmosphere. The absorbing fraction of
OA is referred to as brown carbon (BrC). This study introduces one of the
first implementations of BrC into the Community Atmosphere Model version 5
(CAM5), using a parameterization for BrC absorptivity described in Saleh et
al. (2014). Nine-year experiments are run (2003–2011) with prescribed emissions
and sea surface temperatures to analyze the effect of BrC in the atmosphere.
Model validation is conducted via model comparison to single-scatter albedo
and aerosol optical depth from the Aerosol Robotic Network (AERONET). This
comparison reveals a model underestimation of single scattering albedo (SSA) in biomass burning regions
for both default and BrC model runs, while a comparison between AERONET and
the model absorption Ångström exponent shows a marked improvement with BrC
implementation. Global annual average radiative effects are calculated due to
aerosol–radiation interaction (REari; 0.13±0.01 W m−2)
and aerosol–cloud interaction (REaci; 0.01±0.04 W m−2).
REari is similar to other studies' estimations of BrC direct radiative
effect, while REaci indicates a global reduction in low clouds due to the BrC
semi-direct effect. The mechanisms for these physical changes are
investigated and found to correspond with changes in global circulation
patterns. Comparisons of BrC implementation approaches find that this
implementation predicts a lower BrC REari in the Arctic regions than previous
studies with CAM5. Implementation of BrC bleaching effect shows a significant
reduction in REari (0.06±0.008 W m−2). Also, variations in
OA density can lead to differences in REari and REaci, indicating the
importance of specifying this property when estimating the BrC radiative
effects and when comparing similar studies.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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