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From https://metaculus.com//questions/15536/6-month-ai-weather-forecasting/ Advancements in artificial intelligence (AI) and machine learning have led to significant improvements in many fields, [including weather forecasting](https://source.colostate.edu/ai-and-machine-learning-are-improving-weather-forecasts-but-they-wont-replace-human-experts/).
- Traditional weather forecasting models rely on complex simulations and data from numerous sources, such as satellites, weather stations, and ocean buoys.
- However, these models typically have [limited accuracy beyond a week or two](https://en.wikipedia.org/wiki/Numerical_weather_prediction), making long-term predictions challenging; weather forecasts beyond 10 days are only right [half the time](https://scijinks.gov/forecast-reliability/#:~:text=A%20seven%2Dday%20forecast%20can,right%20about%20half%20the%20time.).
- As climate change continues to disrupt weather patterns, the need for more accurate and longer-term forecasts has become increasingly important for planning purposes and mitigating the adverse effects of extreme weather events.
- In recent years, AI techniques, such as deep learning, have shown [promising results](https://eos.org/research-spotlights/the-ai-forecaster-machine-learning-takes-on-weather-prediction) in enhancing short-term weather predictions.
- Given this potential, it is of great interest to determine whether AI can be utilized to significantly extend the time horizon for accurate weather forecasts.
