20202020 International Conference on Electronics and Sustainable Communication Systems (ICESC)Requires access

Designing A Model for Weather Forecasting Using Machine Learning

K. Geetha Rani, D.C. Joy Winnie Wise, Suriya Begum, S. Nirosha

Open publisher page 10 citations

Abstract

The first attempt to predict weather numerically has required a larger workforce. With the development of powerful computers and better modeling techniques, weather prediction has made a comeback to the early models in similarity. Then the simple-basic equations are used as the forecast equations in Weather Prediction. Since equations govern how meteorological variables change with time, if the initial condition of the atmosphere is known, equations can be deployed in our project to obtain new values of those variables during the later future for forecasting. The weather data at a particular station is obtained for a short range over a particular region is considered. The results obtained shows that, it can estimate the weather conditions more precisely and accurately.

About this research paper

What this paper is about

The first attempt to predict weather numerically has required a larger workforce. With the development of powerful computers and better modeling techniques, weather prediction has made a comeback to the early models in similarity. Then the simple-basic equations are used as the forecast equations in Weather Prediction. Since equations govern how meteorological variables change with time, if the initial condition of the atmosphere is known, equations can be deployed in our project to obtain new values of those variables during the later future for forecasting. The weather data at a particular station is obtained for a short range over a particular region is considered. The results obtained shows that, it can estimate the weather conditions more precisely and accurately.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The first attempt to predict weather numerically has required a larger workforce. With the development of powerful computers and better modeling techniques, weather prediction has made a comeback to the early models in similarity. Then the simple-basic equations are used as the forecast equations in Weather Prediction. Since equations govern how meteorological variables change with time, if the initial condition of the atmosphere is known, equations can be deployed in our project to obtain new values of those variables during the later future for forecasting. The weather data at a particular station is obtained for a short range over a particular region is considered. The results obtained shows that, it can estimate the weather conditions more precisely and accurately.

Key concepts: Model output statistics, Weather prediction, Weather forecasting, North American Mesoscale Model, Numerical weather prediction, Computer science, Similarity (geometry), Range (aeronautics)

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