Abstract

Stratocumulus (Sc) is the most common cloud type in China. Sc clouds may or may not be accompanied by various types of precipitation that are representative of different macro- and microphysical characteristics. The finely resolved CloudSat data products are used in this study to quantitatively investigate the macro- and microphysical characteristics of precipitating and non-precipitating Sc (PS and NPS, respectively) clouds over Eastern China (EC). Based on statistical information extracted from the CloudSat data, Sc clouds are highly likely to occur alone, in association with liquid precipitation, or in association with drizzle over 25% of EC. The cloud bases of NPS clouds are higher than those of PS clouds, although the latter display higher cloud top heights and thicker cloud thicknesses. The spatial distributions of microphysical characteristics differ between PS and NPS clouds. The magnitudes of microphysical characteristics in NPS clouds are relatively small, whereas the magnitudes of microphysical characteristics in PS clouds are relatively large and peak in response to certain circulation patterns and over certain terrain. In NPS clouds, condensation is the primary mechanism for hydrometeor particle growth, and the liquid water content and effective radius increase with height. Once the particles are too large to be supported by the updrafts, cloud droplets form raindrops. In PS clouds, raindrops increase continuously in size via collision-coalescence processes as they fall, leading to an increase in the liquid water content and effective radius from cloud top to cloud base. The CFRHDs (contoured frequency by relative height diagrams) of radar reflectivity in different cloud thickness indicate the cloud evolution and the precipitation formation process. In thinner clouds, downward particle growth by coalescence and upward particle growth by condensation occur in the upper and lower layers of clouds, respectively. With the increases in cloud thickness, the collision-coalescence process becomes apparent in all cloud layers, and the upward condensation process is less pronounced near the cloud base. Particles can grow for a long period of time and increase to larger sizes in thicker clouds, resulting in increased precipitation frequency. In clouds thicker than 1.92 km, the continuous transition from cloud to drizzle to rain by the collision-coalescence process takes place mostly in the upper layers.

Highlights

  • Stratocumulus (Sc) is the most widely occurring cloud type in the atmosphere

  • probability densityoffunctions (PDF) of radar reflectivity are significantly greater than those in non-precipitating Sc (NPS) clouds, and the range of values is wider in precipitating Sc (PS) clouds; this presented in this study corroborate this2000 conclusion

  • Southeast Hills, Hills, and and the the Korean. These peaks peaks may may occur occur due to the increase in ascending motion driven by high elevations, which result in larger precipitation due to the increase in ascending motion driven by high elevations, which result in larger precipitation particles particles in in these these areas

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Summary

Introduction

Stratocumulus (Sc) is the most widely occurring cloud type in the atmosphere. Sc clouds cover. Clouds (includes liquid precipitation and drizzle) and non-precipitating Sc (NPS) clouds in EC are approximately 25% and 70%, respectively, and these types of clouds differ significantly in terms of their macro- and microphysical characteristics. This study uses CloudSat data products to investigate the macro- and microphysical characteristics of both PS and NPS clouds over EC. We primarily employ the combined LIDAR and radar product 2B-CLDCLASS-LIDAR and the CPR product 2B-CLDCLASS whenever LIDAR data are unavailable Both of these cloud products provide information for up to 10 cloud layers, including cloud types, cloud bases, top heights, and especially precipitation types (e.g., drizzle, liquid precipitation, solid precipitation, or no precipitation). The CloudSat data product 2B-CWC-RVOD provides cloud microphysical properties, including liquid/ice water contents, liquid/ice effective radii, liquid/ice number concentrations, liquid/ice distribution width parameters, and the uncertainties in the values of all of these properties in each range bin. We focus only on the warm rain process in Sc clouds due to the limited sample number of iceCharacteristics particles

Stratocumulus
Probability
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