Prediction of Heat and Cold Wave Events and Analysis of Greenhouse Gas Impacts

Climate across the world is experiencing unexpected turns including changes in temperature, rainfall and snowfall. India and other Asian countries have seen erratic climate events including city floods, record breaking temperatures both in lower and upper range categories. The summer was so intense and the winter was so worse that cost human life and the death count was on the rise as reported by media and government agencies. The children and elderly people are vulnerable for these kind of climatic events. Erratic climate events are affecting people of all ages and it also leads to development and intensification existing diseases. The existing techniques have many drawbacks such as less accuracy, more time taken for training and prediction. In this paper, a new approach called ensemble learning with H2O AI for auto hyper parameter tuning is proposed for heat wave and cold wave prediction. The proposed methodology performs better with an accuracy of 92%. Post industrialization, a large volume of greenhouse gases is released into the atmosphere. All these combined together, create erratic climate related events in all over the world. The impact of these greenhouse gases are also analyzed and it is found that, if a particular year has strong heat wave, then, the chances of strong cold wave events are also high.