Developing a Smart Data Visualization Model to Enhance the Efficacy of Predicting Rainfall

Teesha Ahuja

Volume 5, Issue 3 2021

Page: 23-29

Abstract

Due to the development of climate observation systems like satellite meteorological observation and the expansion of weather data collection, weather forecasting has entered the Data Visualization era. Therefore, the traditional intelligence models must be better able to predict the weather accurately. Therefore, machine learning-based methods are essential for processing huge datasets that can learn from previous data and make more accurate predictions. Using datasets that are freely accessible, this study provides an in-depth analysis of various methods for predicting rainfall. Due to the annual change in climate phenomena, statistical forecasting methods cannot accurately forecast longterm rainfall. This paper discusses potential future research approaches and provides a precise classification of rainfall forecasting models.

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References

  • R Vijayan, V Mareeswari, P Mohankumar, G Gunasekaran K Srikar, (2020), Estimating Rainfall Prediction using Machine Learning Techniques on a Dataset, International Journal of Scientific & Technology Research Volume 9, Issue 06, June 2020 ISSN 2277-8616
  • Dhawal Hirani, Dr. Nitin Mishra (2016), A Survey On Rainfall Prediction Techniques, International Journal of Computer Application (2250-1797) Volume 6– No.2, March April 2016, 28
  • G. Tripathi and R. Gupta, (2019), A New Approach for Rainfall Prediction using Artificial Neural Network, International Journal for Research in Applied Science & Engineering Technology (IJRASET),vol. 7, no. VII, July 2019.G. Tripathi and R. Gupta, (2019), A New Approach for Rainfall Prediction using Artificial Neural Network, International Journal for Research in Applied Science & Engineering Technology (IJRASET),vol. 7, no. VII, July 2019.
  • Sanjay Chakraborty, Prof. N.K.Nagwani, Lop Amudra Dey, (2012), Weather Forecasting using Incremental K means Clustering, Data Mining and Knowledge Engineering, Vol 4, No. 5
  • Chandra Segar Thirumalai, K Sri Harsha, M Lakshmi Deepak, K Chaitanya Krishna, (2017), Heuristic Prediction of Rainfall Using Machine Learning Techniques, May 2017, Conference: International Conference on Trends in Electronics and Informatics ICOEI 2017
  • Yogesh Kumari Joshi, Uditi Chawla, Shipra Shukla, (2020), Rainfall Prediction Using Data Visualisation Techniques, 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
  • Pulak Guhathakurta, M. Rajeevan (2008), Trends in the rainfall pattern over India, International Journal of Climatology, September 2008.

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