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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/acp-2017-887
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
12 Oct 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).
Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites
Heming Bai1,2, Cheng Gong3, Minghuai Wang1,2, Zhibo Zhang4, and Tristan L'Ecuyer5 1Institute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, Nanjing, China
2Collaborative Innovation Center of Climate Change, Jiangsu Province, China
3Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, China
4Physics Department, University of Maryland Baltimore County (UMBC), Baltimore, Maryland, USA
5Department of Atmospheric and Oceanic Sciences, University of Wisconsin, Madison, Wisconsin, USA
Abstract. Precipitation susceptibility to aerosol perturbation plays a key role in understanding aerosol-cloud interactions and constraining aerosol indirect effects. However, large discrepancies exist in the previous satellite estimates of precipitation susceptibility. In this paper, multi-sensor aerosol and cloud products, including those from CALIPSO, CloudSat, MODIS, and AMSR-E from June 2006 to April 2011 are analyzed to estimate precipitation frequency susceptibility SPOP, precipitation intensity susceptibility SI, and precipitation rate susceptibility SR in warm marine clouds. We find that SPOP strongly depends on atmospheric stability, with stronger reductions in precipitation occurrence observed under more stable environments. Our results show that precipitation susceptibility for drizzle (with −15 dBZ rainfall threshold) is significant different from that for rain (with 0 dBZ rainfall threshold). Onset of drizzle is not as readily suppressed in warm clouds as rainfall while precipitation intensity susceptibility is generally smaller for rain than for drizzle. We find that SPOP derived with respect to aerosol index (AI) is about one-third of SPOP derived with respect to cloud droplet number concentration (CDNC). Overall, SPOP demonstrates relatively robust features throughout independent liquid water path (LWP) products and diverse rain products. In contrast, the behaviors of SI and SR are subject to LWP or rain products used to derive them.

Citation: Bai, H., Gong, C., Wang, M., Zhang, Z., and L'Ecuyer, T.: Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-887, in review, 2017.
Heming Bai et al.
Heming Bai et al.
Heming Bai et al.

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Short summary
Precipitation susceptibility to aerosol perturbation plays a key role in understanding aerosol-cloud interactions and for constraining aerosol indirect effects. Here multi-sensor aerosol and cloud products from A-Train satellites are analyzed to compare precipitation susceptibility estimates from different retrieval products. Compare to precipitation intensity susceptibility, precipitation frequency susceptibility demonstrates relatively robust features across different retrieval products.
Precipitation susceptibility to aerosol perturbation plays a key role in understanding...
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