This paper introduces a high resolution, machine learning-ready heliophysics dataset derived from NASA’s Solar Dynamics Observatory (SDO), specifically designed to advance machine learning (ML) ...

China is ramping up efforts to wean itself off European weather data as it seeks to become a leader in the global field of meteorology and climate science. Officials are promoting a homegrown data set ...

With the increasing penetration of distributed energy resources (DER), the need for load forecasting at all levels of the distribution system has increased dramatically 1. Underestimating electricity ...

But a meteorologist's job is not easy. The atmosphere is multilayered, interconnected and complex, and global climate change is making it even harder to forecast both long-term and sudden, extreme ...

Developments in machine learning are continuing at breathtaking pace, both inside and outside of weather forecasting. To help assess machine learning weather forecasts from different sources, we now ...

For decades, medium-range weather forecasting—predicting conditions 1 to 5 days ahead—has relied heavily on traditional numerical models. However, this approach often struggles when applied to ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Our ability to forecast the rains would’ve been the envy of our agrarian ancestors. It’s given us an unprecedented ability to take advantage of good growing seasons and prepare for tough times.

Lawmakers in both chambers of Congress are pushing a proposal that would direct the National Oceanic and Atmospheric Administration to leverage artificial intelligence capabilities to better plan for ...

The new deadline to stop the data products will be July 31. Weather forecasters will have an additional month to tap Defense Department satellite data that is widely relied upon for hurricane ...