Machine learning technology helps scientists recognize severe weather patterns.
machine learning & AI
Artificial Intelligence Can Spot Plankton from Space
Training an algorithm with satellite images of ocean color reveals the blooms and busts of phytoplankton communities.
Artificial Intelligence May Be Key to Better Weather Forecasts
Recent advances in machine learning hold great potential for converting a deluge of data into weather forecasts that are fast, accurate, and detailed.
Algorithm Spots Climate-Altering Ship Tracks in Satellite Data
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 in Geoscience: Riding a Wave of Progress
2nd Annual Machine Learning in Solid Earth Geoscience Conference; Santa Fe, New Mexico, 18–22 March 2019
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.
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.
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.
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.
Space Weather in the Machine Learning Era
Space Weather: A Multi-disciplinary Approach; Leiden, Netherlands, 25–29 September 2017