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.

Together, these advancements have resulted in steady improvement over the years in the overall accuracy of weather ...

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 ...

When they reran E3SM and overlaid their algorithm, the enhanced results matched real-world weather occurrences far more closely than E3SM's original predictions.

In contrast, the author's machine learning algorithm is equipped with atmospheric physics equations that can produce more accurate results faster and with less data.

A surge of interest in the problem began four years ago with groundbreaking results from the group of Edward Ott, a leading chaos researcher at the University of Maryland.Ott’s team found that a type ...

The proposed method employs a pre-trained machine learning decision tree algorithm that processes the carrier-to-noise ratio (C/N0) and elevation angle data collected at 1-Hz intervals.