Articles | Volume 16, issue 13
https://doi.org/10.5194/acp-16-8071-2016
https://doi.org/10.5194/acp-16-8071-2016
Research article
 | 
04 Jul 2016
Research article |  | 04 Jul 2016

Global fine-mode aerosol radiative effect, as constrained by comprehensive observations

Chul E. Chung, Jung-Eun Chu, Yunha Lee, Twan van Noije, Hwayoung Jeoung, Kyung-Ja Ha, and Marguerite Marks

Abstract. Aerosols directly affect the radiative balance of the Earth through the absorption and scattering of solar radiation. Although the contributions of absorption (heating) and scattering (cooling) of sunlight have proved difficult to quantify, the consensus is that anthropogenic aerosols cool the climate, partially offsetting the warming by rising greenhouse gas concentrations. Recent estimates of global direct anthropogenic aerosol radiative forcing (i.e., global radiative forcing due to aerosol–radiation interactions) are −0.35 ± 0.5 W m−2, and these estimates depend heavily on aerosol simulation. Here, we integrate a comprehensive suite of satellite and ground-based observations to constrain total aerosol optical depth (AOD), its fine-mode fraction, the vertical distribution of aerosols and clouds, and the collocation of clouds and overlying aerosols. We find that the direct fine-mode aerosol radiative effect is −0.46 W m−2 (−0.54 to −0.39 W m−2). Fine-mode aerosols include sea salt and dust aerosols, and we find that these natural aerosols result in a very large cooling (−0.44 to −0.26 W m−2) when constrained by observations. When the contribution of these natural aerosols is subtracted from the fine-mode radiative effect, the net becomes −0.11 (−0.28 to +0.05) W m−2. This net arises from total (natural + anthropogenic) carbonaceous, sulfate and nitrate aerosols, which suggests that global direct anthropogenic aerosol radiative forcing is less negative than −0.35 W m−2.

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Short summary
Currently, the magnitude of aerosol direct forcing is estimated to range from −0.85 W m−2 to +0.15 W m−2. The uncertainty in estimated aerosol direct forcing is largely due to uncertainties in global aerosol simulation models. We processed a comprehensive suite of observations and developed creative uses of observations to constrain aerosol simulations. The net results are that (i) we reduced the forcing uncertainty and (ii) we showed that the forcing must be less negative than the consensus.
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