And Monteleoni has developed machine-learning algorithms to create weighted averages of the roughly 30 climate models used by the Intergovernmental Panel on Climate Change.

Machine learning algorithms have vastly improved the precision of weather forecasts. These algorithms analyze massive datasets from diverse sources, including radar, satellites, and sensors.

Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of ...

“Because machine-learning algorithms learn from data sets that represent historical experience, AI-driven policy is fundamentally constrained by the assumption that our past represents the right ...

DeepMind's new machine learning algorithm takes less than a minute to make its forecasts and can run on a desktop. But it won't replace traditional forecasts anytime soon.

Because climate and weather systems are highly complex, machine learning models require vast amounts of historical observations and satellite data for training. The training process is very ...

Computer-based weather forecast: New algorithm outperforms mainframe computer systems. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2020 / 02 / 200213124214.htm ...

When his team tasked a computer with learning to identify air-pressure patterns called teleconnections, such as the El Niño weather pattern, the algorithm found a previously unrecognized example ...