For nearly 50 years, scientists have suspected that microscopic marine plankton play a role in cloud formation over the ...

Cloud-related parameterizations remain a leading source of uncertainty in climate projections. Although machine learning holds promise for Earth system models (ESMs), many data-driven ...

Clouds are the main source of uncertainties when projecting climate change. Mixed-phase clouds that contain ice and supercooled-liquid particles are especially hard to constrain, and climate models ...

The way clusters of differently sized water droplet populations are distributed within clouds affects larger-scale cloud properties, such as how light is scattered and how quickly precipitation forms.

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 ...

Clouds are important for Earth's energy balance because they interact with radiation in different ways. On one hand, low clouds reflect incoming solar radiation and thus cool Earth through a property ...

For all of us concerned about the climate, 2023 was a grim year. One of the biggest uncertainties in predicting future climate change is the impact of clouds. Michael Allen speaks to the physicists ...

We've been watching temperatures climb, extreme weather events intensify, and ice sheets shrink. Every weather forecast and climate projection relies on incredibly complex computer simulations that ...

New AI foundation model offers insights beyond forecasting for scientists, developers, and businesses to better understand and analyze weather and climate data Because of its unique design and ...

Climate change could eliminate up to 91% of South America’s cloud forests by 2070 under a high-emissions scenario; even the most optimistic projections show significant losses. Because cloud forests ...

A new system for forecasting weather and predicting future climate uses artificial intelligence (AI) to achieve results comparable with the best existing models while using much less computer power, ...