Volume 4, Issue 6, December 2019, Page: 144-148
Intelligent Methods Used for Obtaining Weather Derivatives: A Review
Gujanatti Rudrappa, Department of Electronics and Communication, KLE Dr. M. S. Sheshgiri College of Engineering and Technology, VTU, Belgaum, India
Nataraj Vijapur, Department of Electronics and Communication, KLE Dr. M. S. Sheshgiri College of Engineering and Technology, VTU, Belgaum, India
Received: Jul. 24, 2019;       Accepted: Oct. 31, 2019;       Published: Dec. 6, 2019
DOI: 10.11648/j.eas.20190406.12      View  321      Downloads  133
Abstract
Weather is the condition of the atmosphere and forecasting is predicting the condition of the atmosphere in near future. Weather forecasting is a formidable challenge as weather is a multi- dimensional, continuous and chaotic process. The distinct nature of the model forecasting in all situations accurately is challenging. Presently weather conditions are being obtained from satellites, Doppler radar, radio sounds, observations from aircraft and ground. Collected data is subjected to various statistical and machine learning techniques. These techniques can incorporate relatively simple observation of the sky to highly complex computerized mathematical models. Weather forecasting still remains a challenging issue, due to unpredictable and chaotic nature of weather. Even with present methods the weather forecasting system may still fail to predict weather attribute, therefore there is still scope left to improve these systems. The objective of carrying out the survey is to look forward on how machine learning can help us to improve weather parameter estimation. In this paper we report the different methods carried out by leading researchers, formidable challenges and present our views on development of efficient weather forecasting system. Also, we propose a method which makes use image processing and neural networks to achieve the weather parameter estimation.
Keywords
Weather, Weather Forecasting, Weather Forecasting Systems, Artificial Intelligence, Machine Learning, Image Processing
To cite this article
Gujanatti Rudrappa, Nataraj Vijapur, Intelligent Methods Used for Obtaining Weather Derivatives: A Review, Engineering and Applied Sciences. Vol. 4, No. 6, 2019, pp. 144-148. doi: 10.11648/j.eas.20190406.12
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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