What is machine learning in weather forecasting?

How does machine learning improve weather forecasting?

Machine learning analyzes vast amounts of weather data to identify patterns and make more accurate predictions.

Can you give an example of a machine learning model used in weather forecasting?

Sure! The Random Forest model is often used to predict temperature and precipitation by learning from historical data.

What are the benefits of using AI in weather predictions?

AI can process data faster, improve accuracy, and adapt to new information, leading to better forecasts.

Are there any limitations to using machine learning in this field?

Yes, limitations include data quality, the need for large datasets, and the challenge of interpreting complex models.