Year: 2022
Type: article
Abstract: : Weather forecasting has now entered the era of Data Visualisation due to the advancement of climate observing systems like satellite meteorological observation and also because of the increase in the collection of weather data. So, the traditional intelligence models are not adequate to predict the weather precisely. Hence, machine learning-based techniques are importantto process massive datasets that can learn and make predictions more precise based on past data. This research paper provides a thorough review of different rainfall prediction techniques, along with the help of publicly available datasets. Statistical techniques for rainfall forecasting cannot predict well for long-term rainfall forecasting due to the constant change of climate phenomena every year. This paper delivers a precise classification of rainfall forecasting models and discusses potential future research methods in this area. Index Terms: Data Visualisation, Weather Prediction, Machine Learning Techniques, Data Analytics, Rainfall Pattern
Author: Kaushal Kailas Sarda
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4229374343