How Do Climate Scientists Use Artificial Intelligence? – Union of Concerned Scientists

Source Domain: blog.ucs.org

The author served on a panel at a National Academies of Sciences workshop focused on leveraging AI for climate action.
AI, particularly machine learning, is another tool in climate scientists’ methodologies, alongside traditional climate models.
AI aids in identifying patterns in climate data that predict weather events, such as El Niño’s global weather effects.
AI tools like climate emulators and downscaling are utilized for their speed and efficiency in making localized climate predictions.
The author’s research involves using AI for attribution science to predict temperature extremes, especially in the Global South, where data is scarce.
The workshop highlighted various AI uses in climate science, including wildfire prediction and sustainable agriculture, while also addressing AI’s current limitations.
Issues with AI include its non-transparent methods and lack of historical validation for future predictions, stressing the need for explainable AI and rigorous scientific methods.

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