New Cloud Detection Index (CDI) for Forecasting the Extreme Rain Events

• 作者: Kamlesh Kamlesh Pathak Niket Shastri
• 来源期刊: 遥感技术进展(英文)
• 学科: 地球科学
• 关键词: CLOUD Detection INDEX Water Vapor Remote Sensing
• 年，卷（期）: 2019,（1）
• 页码范围: 30-39
• 页数: 10页
• 分类号: P4

摘要

The water vapor content and clouds play a very significant role in atmospheric conditions. This paper is derived from the new cloud detection index (CDI) which is useful to forecast extreme weather events like heavy or extreme rain. The CDI is retrieved using two crucial elements of cloud formation, the critical humidity and critical water vapor. The cloud thickness is determined by using CDI for a radiosonde site (VABB) located in Mumbai, the western part of India. The obtained results are compared with the cloud thickness required for extreme rain. The outcome of the comparison is discussed in this paper. The cloud detection index is also useful in establishing the atmospheric stability along with another four atmospheric stability indices.