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Weather Prediction Using AWS

Preet Nagar

preet.nagar.it.2019@miet.ac.in

Meerut Institute of engineering and Technology, Meerut

Pradumya Keshari

pradumya.keshari.it.2019@miet.ac.in

Meerut Institute of engineering and Technology, Meerut

Rahul Malik

rahul.malik@miet.ac.in

Meerut Institute of engineering and Technology, Meerut

Abstract:

This research paper explores the use of Amazon Web Services (AWS) for weather prediction, presenting a case study of implementing the Weather Research and Forecasting (WRF) model on AWS. Traditional weather prediction methods have limitations in accuracy and speed, but cloud computing offers a promising solution by providing access to high-performance computing resources on demand. The WRF model was run on AWS Elastic Compute Cloud (EC2) instances, and AWS Simple Storage Service (S3) was used to store input and output data. The performance of the model was evaluated by comparing its forecasts to ground truth data from the National Oceanic and Atmospheric Administration (NOAA). The results demonstrate that the WRF model implemented on AWS was able to produce accurate and timely forecasts, with comparable MAE and RMSE values and a high correlation coefficient. This research highlights the potential of cloud computing for weather prediction and its ability to improve decision-making in various industries.