2019Unpublished venueRequires access

Retracted: Atmospheric Weather Prediction Using various machine learning Techniques: A Survey

L. Naveen, Mohan H.S.

Open publisher page 36 citations

Abstract

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 36 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Limitations

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Applications

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Available abstract

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.

Key concepts: Weather prediction, Weather forecasting, Meteorology, Numerical weather prediction, Computer science, Model output statistics, Wind speed, Weather modification

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