Exploring impacts of aerosol on convective clouds using satellite remote sensing and machine learning

IF 1.4 4区地球科学 Q4 ENVIRONMENTAL SCIENCES

Journal of Applied Remote Sensing Pub Date : 2024-01-01 DOI:10.1117/1.jrs.18.012007

Jiaqin Mi, Yuanjian Yang, Shuxue Zhou, Xiaoyan Ma, Siying Wei

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引用次数: 0

Abstract

Aerosol–cloud–precipitation interaction is currently a research hotspot that is challenging but also one of the most prominent sources of uncertainty affecting climate change. We have identified 1082 mesoscale convective systems (MCSs) over eastern China from April to September in 2016 and 2017. Overall, the occurrence frequency and MCS area increased when altitude increased, as demonstrated by the t-test at 95% confidence. More MCSs appeared and matured fully, although they moved slowly, in a selected urban agglomeration area compared to a selected rural area, owing to the urbanization impact. With an increase in the concentration of particulate matter with particle size below 10 μm (PM10) averaged by the first 3 h of MCS initiations, the cloud top brightness temperature and MCS area decreased, resulting in weakened precipitation intensity and a smaller MCS area. The t-test was passed with 90% confidence, confirming this finding. In addition, high-humidity circumstances can produce enough water vapor to support the creation of many higher and deeper MCSs.

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利用卫星遥感和机器学习探索气溶胶对对流云的影响

气溶胶-云-降水相互作用是当前的研究热点，具有挑战性，但也是影响气候变化的最突出的不确定性来源之一。我们识别了2016年和2017年4月至9月中国东部上空的1082个中尺度对流系统（MCS）。总体而言，随着海拔高度的增加，中尺度对流系统的出现频率和面积也随之增加，95%置信度下的t检验证明了这一点。由于城市化的影响，与选定的农村地区相比，选定的城市群地区出现了更多的多粒子卫星，尽管它们移动缓慢，但已完全成熟。随着开始出现多云天气的前 3 小时平均粒径小于 10 μm 的颗粒物（PM10）浓度的增加，云顶亮度温度和多云天气面积减小，导致降水强度减弱和多云天气面积缩小。这一结果通过了置信度为 90% 的 t 检验。此外，高湿度环境可产生足够的水汽，支持产生许多更高和更深的多层云。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Applied Remote Sensing 环境科学-成像科学与照相技术

CiteScore

3.40

自引率

11.80%

发文量

194

审稿时长

3 months

期刊介绍： The Journal of Applied Remote Sensing is a peer-reviewed journal that optimizes the communication of concepts, information, and progress among the remote sensing community.