Abstract
Over the year’s thunderstorms have been one of the major causes of death and one of the most catastrophic natural calamities in the country and the most challenging part is the prediction of thunderstorm beforehand, because of the random nature of our atmosphere. Through this research paper the attempt was made to do analyze the atmospheric stability indices (atmospheric instability causes thunderstorms) using INSAT-3D sounder data to predict thunderstorms by predicting their values using machine learning approach. By setting the indices possess a threshold value and also there is predictability in the data which can be used to predict their future values. The tephigram is used by meteorologist, scientist, weather observer, pilots to solve atmospheric temperature and humidity problems using simple graphical techniques. We can avoid extensive calculation for the mathematical relationships to generate diagram to predict the events. Meteorologists use the thermodynamic diagram daily to forecast cloud height and atmospheric stability and using the tephigram is use to generate and integrate LIVE events to show easier for the users to view the thermodynamic diagram instantly.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Innovative Technology and Exploring Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
