International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Numerical, Machine Learning and Deep-Learning based Framework for Weather Prediction

  • Bhagwati Sharan (Department of Computer Science and Engineering, School of Engineering and Sciences, SRM University-AP) ;
  • Mohammad Husain (Department of Computer Science, Faculty of Computer and Information Systems, Islamic University of Madinah Kingdom of Saudi Arabia) ;
  • Mohammad Nadeem Ahmed (Department of Computer Science, King Khalid University) ;
  • Anil Kumar Sagar (Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University) ;
  • Arshad Ali (Faculty of Computer and Information Systems, Islamic University of Madinah Al Madinah Al Munawarah) ;
  • Ahmad Talha Siddiqui (Department of CS&IT, Maulana Azad National Urdu University) ;
  • Mohammad Rashid Hussain (College of Business, Department of Management Information Systems)
  • Received : 2024.09.05
  • Published : 2024.09.30
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Abstract

Weather forecasting has become a very popular topic nowadays among researchers because of its various effects on global lives. It is a technique to predict the future, what is going to happen in the atmosphere by analyzing various available datasets such as rain, snow, cloud cover, temperature, moisture in the air, and wind speed with the help of our gained scientific knowledge i.e., several approaches and set of rules or we can say them as algorithms that are being used to analyze and predict the weather. Weather analysis and prediction are required to prevent nature from natural losses before it happens by using a Deep Learning Approach. This analysis and prediction are the most challenging task because of having multidimensional and nonlinear data. Several Deep Learning Approaches are available: Numerical Weather Prediction (NWP), needs a highly calculative mathematical equation to gain the present condition of the weather. Quantitative precipitation nowcasting (QPN), is also used for weather prediction. In this article, we have implemented and analyzed the various distinct techniques that are being used in data mining for weather prediction.

Keywords

Acknowledgement

The researchers wish to extend their sincere gratitude to the Deanship of Scientific Research at the Islamic University of Madinah for the support provided to the Post-Publishing Program 2.

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