TITLE:
New Cloud Detection Index (CDI) for Forecasting the Extreme Rain Events
AUTHORS:
Niket Shastri, Kamlesh Kamlesh Pathak
KEYWORDS:
Cloud Detection Index, Water Vapor, Remote Sensing
JOURNAL NAME:
Advances in Remote Sensing,
Vol.8 No.1,
March
11,
2019
ABSTRACT: 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.