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Prediction and Analysis of Mesoscale Thunderstorm in India – A Computational Approach.

Implementing Organization

Sathyabama Institute of Science and Technology
Principal Investigator
PI: Dr. P. Sardar Maran
Sathyabama Institute of Science and Technology
Department of Computer Science & Engineering
sardarmaran@gmail.com
CO-Principal Investigator
Dr. B. Prabhu Dass Batvari
Sathyabama Institute of Science and Technology
Centre for Earth & Atmospheric Sciences
batvarib@gmail.com,lakshmanan.cse@sathyabama.ac.in
CO-Principal Investigator
Dr. L. Lakshmanan
Sathyabama Institute of Science and Technology
Department of Computer Science & Engineering
batvarib@gmail.com,lakshmanan.cse@sathyabama.ac.in

Project Overview

The parameters that are required to predict the thunderstorms are enormously complex and the prediction using all these parameters is enormous even for a short period. Soft computing is an innovative approach to construct computationally intelligent systems that are supposed to possess humanlike expertise within a specific domain, adapt themselves and learn to do better in changing environments, and explain how they make decisions. In that manner ANFIS processing is a good solution from radar images to predict the accurate models. This prediction models will able to ingest Doppler radar, Satellite data using various soft computing tools and techniques (ANFIS, Machine language, 2nd Generation wavelet neural network and Image processing). The proposed mesoscale thunderstorm model will identify when and where the severe thunderstorm will occur. This alert will be of much use to the society to save life and property.
Funding Organization
Funding Organization
Ministry of Earth Sciences (MoES)
Quick Information
Area of Research
Earth, Atmosphere & Environment Sciences
Focus Area
Atmospheric Science
Start Year
2023
Sanction Amount
₹ 20.73 L
Status
Ongoing
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
N/A
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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