Low-level clouds over the oceans, extensively studied for their role in climate change, are re-examined from a new perspective that applies machine learning to radar observations.
machine learning & AI
Posted inResearch Spotlights
Using Algorithms to Help Find Life on Icy Ocean Worlds
Scientists could use machine learning to analyze atmospheric samples in order to help identify microbes on frozen moons. They’re testing the concept using bottles of brine and smelly bacteria.
Posted inEditors' Highlights
Listening to Groundwater Dynamics
Deep learning from shallow passive seismic data reveals groundwater table depth information in space and time.
Posted inEditors' Vox
Particulate Pollution and its Climate Impacts During the COVID-19 Pandemic
The impacts of COVID-19 on short-lived pollutants highlight the predominant influence of the transportation sector and the resulting changes in regional climates and ecosystems.
Posted inEditors' Highlights
Mercury’s Hollows may be Young and Active
The first machine learning-derived global-scale survey of Mercury’s hollows suggests they are young features that may be active and will continue to evolve.
Posted inEditors' Highlights
Fast Adept Sea Ice Forecasts
Artificial intelligence facilitates an efficient, skillful surrogate of a coupled Arctic sea ice prediction model using generative diffusion.
Posted inEditors' Vox
Listening to Earth’s Subsurface with Distributed Acoustic Sensing
A new book examines how fiber-optic cables installed in boreholes can monitor seismic activity, fluid flow, subsurface temperatures, and more.
Posted inEditors' Highlights
Machine Learning Enhances Image Analysis in Biogeosciences
Machine learning can enhance our ability to identify communities of microorganisms and how they change in response to climate change over time.
Posted inEditors' Vox
Unlocking the Power of Synthetic Aperture Radar for Geosciences
Due to its unique ability to monitor Earth’s surface, Synthetic Aperture Radar plays a pivotal role in revolutionizing the geosciences.