Thunderstorms over A.P using INSAT- 3D Satellite Data 
N. Umakanth1, G.Ch. Satyanarayana2, D. Puneet Kumar3, L. Ram Gopal4, K. Kranthi Mahesh5
1N. Umakanth, Department of Atmospheric Science, K L University, Vaddeswaram, India.
2G. Ch. Satyanarayana, Department of Atmospheric Science, K L University, Vaddeswaram, India.
3D. Puneet Kumar, Department of Electronics and Communications Engineering, K L University, Vaddeswaram, India.
4L. Ram Gopal, Department of Electronics and Communications Engineering, K L University, Vaddeswaram, India.
5K. Kranthi Mahesh, Department of Electronics and Communications Engineering, K L University, Vaddeswaram, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 4591-4594 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8594118419/2019©BEIESP | DOI: 10.35940/ijrte.D8594.118419
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Extreme events related to severe thunderstorms have been increasing day by day in recent years over India. Due to the shorter span of occurrence, these events are tough to be predicted. To achieve this, we took the help of the satellite data. In this paper, we analysed the two severe thunderstorm cases in May 2019 by INSAT-3D satellite data. This satellite data helps us to monitor the convective cloud system every 30 minutes. Using this satellite data we are able to calculate the atmospheric indices like LI, KI, TTI and HI for every 30 minutes. These satellite derived atmospheric indices gives us a clear indication of development of Convective system before 3 -4 hours.
Keywords: Thunderstorm, Atmospheric Indices, Brightness Temperature, Rainfall.
Scope of the Article: Systems and Software Engineering.