Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace and texture of real‑world warming. The physics at their core remains sound, ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Models, by definition, are approximations: useful, informative, and inevitably incomplete, because they are the only way to simplify a world too complex to grasp all at once. A new study on nitrous ...

After a record fall, when nearly the entire United States experienced drought—unprecedented in US Drought Monitor history—water managers and planners nationwide are nervously hoping for a wet winter, ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster alternative to computationally intensive cloud-resolving simulations. However, ...

In a time of increasing climate variability, researchers Pengfei Xue and Miraj B. Kayastha have developed regional Earth system models to better understand and predict extreme weather and ...

A collaborative effort between the universities of Cordoba and Granada improved the spatial resolution of monthly climate data from 22,000 years ago to the year 2100, enabling more localized and ...

Humans have tried to predict the weather for as long as there have been floods and droughts. But in recent years, climate science, advanced computing and satellite imagery have supercharged their ...

Global climate mitigation scenarios shape real-world policy choices of who cuts emissions, who pays, and who benefits from ...

A new report released yesterday by the Department of Energy purports to provide “a critical assessment of the conventional narrative on climate change.” But nine scientists across several different ...