Aerosol impacts on warm-cloud microphysics and drizzle in a moderately polluted environment

Ying-Chieh Chen,Kao-Shan Chung,Pay-Liam Lin,Sheng-Hsiang Wang,Sarah Lu,Neng-Huei Lin,Everette Joseph,Qilong Min

doi:10.5194/acp-21-4487-2021

Abstract

Abstract. Climate is critically affected by aerosols, which alter cloud lifecycles and precipitation distribution through radiative and microphysical effects. In this study, aerosol and cloud property datasets from MODIS (Moderate Resolution Imaging Spectroradiometer), onboard the Aqua satellite, and surface observations, including aerosol concentrations, raindrop size distribution, and meteorological parameters, were used to statistically quantify the effects of aerosols on low-level warm-cloud microphysics and drizzle over northern Taiwan during multiple fall seasons (from 15 October to 30 November of 2005–2017). Our results indicated that northwestern Taiwan, which has several densely populated cities, is dominated by low-level clouds (e.g., warm, thin, and broken clouds) during the fall season. The observed effects of aerosols on warm clouds indicated aerosol indirect effects (i.e., increased aerosol loading caused a decrease in cloud effective radius (CER)), an increase in cloud optical thickness, an increase in cloud fraction, and a decrease in cloud-top temperature under a fixed cloud water path. Quantitatively, aerosol–cloud interactions (ACI=-∂ln⁡CER∂ln⁡α|CWP, changes in CER relative to changes in aerosol amounts) were 0.07 for our research domain and varied between 0.09 and 0.06 in the surrounding remote (i.e., ocean) and polluted (i.e., land) areas, respectively, indicating aerosol indirect effects were stronger in the remote area. From the raindrop size distribution analysis, high aerosol loading resulted in a decreased frequency of drizzle events, redistribution of cloud water to more numerous and smaller droplets, and reduced collision–coalescence rates. However, during light rain (≤1 mm h−1), high aerosol concentrations drove raindrops towards smaller droplet sizes and increased the appearance of drizzle drops. This study used long-term surface and satellite data to determine aerosol variations in northern Taiwan, effects on clouds and precipitation, and observational strategies for future research on aerosol–cloud–precipitation interactions.

Highlights

Since the industrial revolution, the quantity of aerosols produced by human activities has increased significantly, with the strongest aerosol emissions from areas with frequent industrial activities or high biomass burning (Textor et al, 2006)
Clouds were affected by the prevailing northeastern wind and topography, resulting in higher top heights and more significant coverage for clouds over northeastern Taiwan compared with northwestern Taiwan
We integrated numerous aerosol, cloud, and precipitation data from satellite and surface observations to quantify the effects of aerosols on low-level warm-cloud microphysics and precipitation over northern Taiwan, an urban area in the northwestern Pacific Ocean

Summary

Introduction

The quantity of aerosols produced by human activities has increased significantly, with the strongest aerosol emissions from areas with frequent industrial activities or high biomass burning (Textor et al, 2006). The effect of aerosols on climate is recognized as significant (Charlson et al, 1992; Kiehl and Briegleb, 1993; Penner et al, 2001; Ramanathan et al, 2001; Ramaswamy et al, 2001) albeit complex. Aerosols can alter cloud properties with subsequent impacts on climate, i.e., aerosol indirect effect (Warner and Twomey, 1967; Twomey, 1974; Albrecht, 1989; Lohmann and Feichter, 2005). Studies have demonstrated that GCMs significantly overestimate the frequency of drizzle (Stephens et al, 2010), which brings into question. Chen et al.: Aerosol impacts on warm-cloud microphysics and drizzle the accuracy of aerosol–cloud interactions (ACIs) in models. Observational studies of aerosol and cloud microphysical properties are crucial for clarifying the relationship between aerosols and the microphysical process of clouds and evaluating the accuracy of model simulations

Objectives

Results

Conclusion