OmerZeyveli/Weather-Forecasting-AI-Model-with-METAR-Data

AI Summary: The task involves comparing the weather forecasts generated by a pre-trained LSTM model (using METAR data) with official TAF forecasts from human meteorologists. This requires collecting METAR and TAF data for the same airports and time periods, running the model on the METAR data, aligning the model's output with the TAF forecasts, and then visualizing and potentially scoring the differences between the two forecast types. The goal is to assess the accuracy of the AI model relative to human experts.