Machine Learning Techniques of Weather Forecasting – A Review

Ghosh, Jitiprova and Bhattacharya, Amitlal (2023) Machine Learning Techniques of Weather Forecasting – A Review. Asian Journal of Environment & Ecology, 22 (4). pp. 115-119. ISSN 2456-690X

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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.

Item Type: Article
Subjects: Eprints STM archive > Biological Science
Depositing User: Unnamed user with email admin@eprints.stmarchive
Date Deposited: 19 Dec 2023 12:01
Last Modified: 19 Dec 2023 12:01

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