在本研究中，分离中尺度对流云团对降水的影响后，课题组研究人员发现强对流团海洋对流比弱团对流降水更强烈。研究表明，这种增强主要归因于当环境低于百分之七十饱和时，对流降水率的增加，当环境接近饱和时，多雨层状区域大小的增加同样或更重要。结果表明，为了准确预测极端降水事件，需要在数值天气和气候模型中正确表示中尺度有组织的对流系统。
研究人员表示，在热带地区，极端降水事件通常受中尺度有组织的、空间上杂乱的深积雨云引发，对人们的生命和财产构成重大风险。虽然人们认为对流云的聚集会增强降水速率，但是这种夸大的假设并没有合理的定量估计。
附：英文原文
Title: Mesoscale convective clustering enhances tropical precipitation
Author: Pedro Angulo-Umana, Daehyun Kim
Issue&Volume: 2023-01-11
Abstract: In the tropics, extreme precipitation events are often caused by mesoscale systems of organized, spatially clustered deep cumulonimbi, posing a substantial risk to life and property. While the clustering of convective clouds has been thought to strengthen precipitation rate, no quantitative estimates of this hypothesized enhancement exist. In this study, after isolating the effects of mesoscale convective clustering on precipitation, we find that strongly clustered oceanic convection precipitates more intensely than weakly clustered convection. We further show that this enhancement is primarily attributable to an increase in convective precipitation rate when the environment is less than 70% saturated, with increases in the size of the rainy stratiform region being of equal or greater importance when the environment is closer to saturation. Our results suggest that a correct representation of mesoscale organized convective systems in numerical weather and climate models is needed for accurate predictions of extreme precipitation events.
DOI: abo5317
Source: https://www.science.org/doi/10.1126/sciadv.abo5317