EXTRACTION OF RADAR ELEMENTS

Authors

  • Rahul Deshmukh Dept. of Computer Engineering, SVPCET, Nagpur, MH, India
  • Sebi James SVPCET, Nagpur, MH, India
  • Shreyas Kumar Dept. of Computer Engineering,
  • Akhil Benny Dept. of Computer Engineering,
  • Dr.Sunil Wanjari Dept. of Computer Engineering,
  • Brijesh Kanaujiya Regional Meteorological Centre, IMD, New Delhi, NDL, India

Keywords:

web application, spectrum width, Proper extraction, multiple raw files

Abstract

Significant weather swings are causing a wide range of problems for people, including those involving agriculture, aviation, and property damage, among many other things. The unpredictable nature of climatic and atmospheric conditions has made weather forecasting a more and more essential area of study. The experts are keeping an eye on emerging technologies and diverse atmospheric trends. Weather forecasting is largely beneficial in disaster prevention like proper aviation operation, farming and various business demands. Boom of AI and ML has helped in increasing the scope of weather-related research with the help of various models. Before digging into analysis part and model training, extraction of data is much more important. Proper data mining and its study will help one to observe the patterns and selection and training of models.
In this research we have tried to build a web application to figure out a few essential parameters related to radar data from multiple raw files which could be used to make accurate presumptions of weather conditions. To list out them separately they are reflectivity factor, velocity factor, spectrum width, total power. Proper extraction of these radar elements and then accordingly selecting the model will succeed to a system worthy of accuracy and maximum efficiency.

References

https://www.jrps.in/uploads/2022/ncasit-2022/48.pdf

James W Wilson, N Andrew Crook, Cynthia K Mueller, Juanzhen Sun, and Michael Dixon, “Nowcasting thunderstorms: A status report,” Bulletin of the American Meteorological Society, vol. 79, no. 10, pp. 2079–2100, 1998.

Peter Lynch, “The origins of computer weather prediction and climate modeling,” Journal of Computational Physics, vol. 227, no. 7, pp. 3431–3444, 2008.

Neil I Fox and James W Wilson, “Very short period quantitative precipitation forecasting,” Atmospheric Science Letters, vol. 6, no. 1, pp. 7–11, 2005..

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Published

29-04-2023

How to Cite

Rahul Deshmukh, Sebi James, Shreyas Kumar, Akhil Benny, Dr.Sunil Wanjari, & Brijesh Kanaujiya. (2023). EXTRACTION OF RADAR ELEMENTS. International Journal for Research Publication and Seminar, 14(3), 73–77. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/470

Issue

Vol. 14 No. 3 (2023): Vol 14 | Issue 3 | NCASIT 2023

Section

Original Research Article

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