Machine Learning Techniques of Weather Forecasting – A Review

Jitiprova Ghosh, Amitlal Bhattacharya
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Abstract

Weather is a particular state of the atmosphere that describes the degrees to which it is hot or cold, wet or dry, calm or stormy, clear or cloudy. On earth, most weather phenomena occurs in the lowest layer of the planet’s atmosphere i.e the troposphere. Weather forecasting tools are used in the field of science and technology to forecast atmospheric conditions for a certain place and period. It is a very challenging task for the researchers of this field in this modern era. In this review paper we have tried to estimate the accuracy level of different machine learning method of weather forecasting.
天气预报的机器学习技术 - 综述
天气是大气层的一种特殊状态,它描述了热或冷、湿或干、平静或暴风雨、晴朗或多云的程度。在地球上,大多数天气现象发生在地球大气层的最底层,即对流层。天气预报工具用于科学和技术领域,预报某一地点和时期的大气状况。在当今时代,这对该领域的研究人员来说是一项极具挑战性的任务。在这篇综述论文中,我们试图评估不同机器学习方法在天气预报方面的准确度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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