EGU24-14911, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-14911
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Develop an Application for Detecting Thunderstorm Cells and Tracking Their Motion Behaviour From Radar Images by Using Image Processing Techniques

Mahesh Ramadoss1, Gajendra Kumar1, Brajesh Kumar Kanaujiya1, Arun Sobhanan1, Anoop Kumar Mishra1, Meyyappan Thirunavukkarasu2, and Murugesan Gopal3
Mahesh Ramadoss et al.
  • 1India Meteorological Department, Central Aviation Meteorologyical Division, New Delhi, India (aummahesh@gmail.com)
  • 2Alagappa University,Karaikudi,Tamilnadu,India
  • 3Sree Saraswathi Thyagaraja College,Pollachi,Tamilnadu,India

Thunderstorms can lead to heavy or extreme heavy rainfall events and impact many sectors, such as aviation, urban infrastructure, and power systems. In Aviation Meteorology, The main objective of weather radar1 is to identify thunderstorm cells on the flight route and issue warning messages with the traces of wind motions, rainfall intensity and possible turbulence. These attributes contribute significantly to how air navigation is performed safely and efficiently against high-risk weather hazardous zones. To improve the severe thunderstorm forecast, develop an automated thunderstorm warning system application that detects the thunderstorm cells from the radar images by using image processing techniques. It recognizes the size of the thunderstorm cells and measures the gauge between the airport and each cell. Moreover, estimating the velocity of cell movement towards the airport is an added advantage. It is an added-value product of the Aviation Weather Decision Support System2 (AWDSS). This application utilizes the two main Python packages OpenCV3 and Wradlib4 .

 

Keywords: Aviation Meteorology, Decision Support System, Image Processing Technique, Weather radar, OpenCV, Thunderstorm, Radar Imaging.

 

 

References

1) Theodore Fujita, T., McCarthy, J. (1990). The Application of Weather Radar to Aviation Meteorology. In: Atlas, D. (eds) Radar in Meteorology. American Meteorological Society, Boston, MA. https://doi.org/10.1007/978-1-935704-15-7_43.

2) Eilts, Michael & Shaw, Brent & Barrere, Charles & Fritchie, Robert & Carpenter, Richard & Spencer, Phillip & Li, Yanhong & Ladwig, William & Mitchell, Dewayne & Johnson, J. & Conway, J. (2015). THE AVIATION WEATHER DECISION SUPPORT SYSTEM: DATA INTEGRATION AND TECHNOLOGIES IN SUPPORT OF AVIATION OPERATIONS.

3) Open Souce Computer Vision (OpenCV),https://docs.opencv.org/4.x/.

4) wradlib: An Open Source Library for Weather Radar Data Processing, https://docs.wradlib.org/en/latest/.

How to cite: Ramadoss, M., Kumar, G., Kanaujiya, B. K., Sobhanan, A., Mishra, A. K., Thirunavukkarasu, M., and Gopal, M.: Develop an Application for Detecting Thunderstorm Cells and Tracking Their Motion Behaviour From Radar Images by Using Image Processing Techniques, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14911, https://doi.org/10.5194/egusphere-egu24-14911, 2024.