利用各种机器学习技术进行大气天气预报:综述

L. Naveen, S. MohanH
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引用次数: 3

摘要

一般来说,天气是由许多参数组成的,包括降雨量、降水量、风速等。环境天气预报是研究人员的一项试验任务,近年来引起了人们的极大研究热情。我们的研究考虑了多种天气图方法,这些方法可以通过考虑现有的气象信息来观测中期、逐月或每年的天气。因此,由于其动态的环境条件,对天气参数的精确预报成为一项具有挑战性的任务。连接不同的机器学习系统来预测空气参数。除天气预报外,还分析了数值天气预报输出的各种应用。
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Atmospheric Weather Prediction Using various machine learning Techniques: A Survey
Generally, weather is comprised of numerous parameters including rainfall, precipitation, wind speed, etc. Environmental weather forecast is a testing errand for researchers and it has drawn a great deal of research enthusiasm in the recent years. Our study considers a wide variety of weather figure methods which can observe weather in the midst, or month to month or annually by considering the available meteorological information. So the precise forecast of weather parameters is emerging as a challenging task due to their dynamic environment conditions. Different machine learning systems are connected to foresee air parameters. Along with weather prediction, various applications based on Numerical Weather Prediction outputs are also analyzed.
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