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Published October 2017 | public
Journal Article

Warming effect of dust aerosols modulated by overlapping clouds below

Abstract

Due to the substantial warming effect of dust aerosols overlying clouds and its poor representation in climate models, it is imperative to accurately quantify the direct radiative forcing (DRF) of above-cloud dust aerosols. When absorbing aerosol layers are located above clouds, the warming effect of aerosols strongly depends on the cloud macro- and micro-physical properties underneath, such as cloud optical depth and cloud fraction at visible wavelength. A larger aerosol-cloud overlap is believed to cause a larger warming effect of absorbing aerosols, but the influence of overlapping cloud fraction and cloud optical depth remains to be explored. In this study, the impact of overlapping cloud properties on the shortwave all-sky DRF due to springtime above-cloud dust aerosols is quantified over northern Pacific Ocean based on 10-year satellite measurements. On average, the DRF is roughly 0.62 Wm^(−2). Furthermore, the warming effect of dust aerosols linearly increases with both overlapping cloud fraction and cloud optical depth. An increase of 1% in overlapping cloud fraction will amplify this warming effect by 1.11 Wm^(−2)τ^(−1). For the springtime northern Pacific Ocean, top-of-atmosphere cooling by dust aerosols turns into warming when overlapping cloud fraction is beyond 0.20. The variation of critical cloud optical depth beyond which dust aerosols switch from exerting a net cooling to a net warming effect depends on the concurrent overlapping cloud fraction. When the overlapping cloud coverage range increases from 0.2 to –0.4 to 0.6–0.8, the corresponding critical cloud optical depth reduces from 6.92 to 1.16. Our results demonstrate the importance of overlapping cloud properties for determining the springtime warming effect of dust aerosols.

Additional Information

© 2017 Elsevier Ltd. Received 14 March 2017, Revised 18 July 2017, Accepted 19 July 2017, Available online 21 July 2017. This work was supported by the Natural Science Foundation of China (NSFC) under grant 41590874, the National Key Research and Development Program of the Ministry of Science and Technology (MOST) of China (2016YFA0602003), NSFC (Grants 91544217, 41405035 and 41471301), MOST under grant 2015DFA20870, the Postdoctoral Science Foundation of China (2016M601196), and Chinese Academy of Meteorological Sciences under grants 2017Z005 and 2017R001. We are grateful to NASA for make us freely get access to the CALIOP and MODIS data used here. Last, but not least, we would like to thank the editor and three anonymous reviewers for their constructive comments, which help significantly to improve the quality of this manuscript.

Additional details

Created:
August 21, 2023
Modified:
October 26, 2023