Tens of thousands of ship tracks—cloud structures created when ships’ exhaust plumes interact with the atmosphere—are pinpointed automatically, furthering study of these climate-altering features.
machine learning & AI
Posted inScience Updates
Machine Learning in Geoscience: Riding a Wave of Progress
2nd Annual Machine Learning in Solid Earth Geoscience Conference; Santa Fe, New Mexico, 18–22 March 2019
Posted inNews
New Eyes on Wildfires
Onboard machine learning and compact thermal imaging could turn satellites into real-time fire management tools to help officials on the ground.
Posted inEditors' Highlights
Sea-Surface Carbon Patterns Linked to Large-scale Climate Modes
A new 34-year global time series of observed sea surface partial pressure of CO2 links regional variation to major climate modes.
Posted inNews
Coral Reef Video Game Will Help Create Global Database
Players dive off a research boat, identify and classify coral reefs using satellite and drone images, and bring marine life back to reefs. In doing so, they help scientists teach a machine to learn.
Posted inEditors' Highlights
Removing the Drudgery from Earthquake Seismology
New methods of machine learning are bringing the phase arrival time and polarity picking used for automatic determination of earthquake fault planes to accuracies better than human analysists.
Posted inScience Updates
Space Weather in the Machine Learning Era
Space Weather: A Multi-disciplinary Approach; Leiden, Netherlands, 25–29 September 2017
Posted inResearch Spotlights
Using Microbes to Predict the Flow of Arctic Rivers
Bacterial DNA provides a good estimate of river discharge.
Posted inEditors' Vox
Deep Learning: A Next-Generation Big-Data Approach for Hydrology
What can Artificial Intelligence offer hydrologic research? Could deep learning one day become part of hydrology itself?
Posted inResearch Spotlights
Next-Generation Climate Models Could Learn, Improve on the Fly
Scientists propose development of new models that use machine learning techniques to reduce uncertainties in climate predictions.