A new deep learning approach bridges ground rain gauge and radar data with spaceborne radar observations of Tropical Rainfall Measuring Mission to improve precipitation estimation.
machine learning & AI
Thoughtfully Using Artificial Intelligence in Earth Science
Deriving scientific insights from artificial intelligence methods requires adhering to best practices and moving beyond off-the-shelf approaches.
Artificial Intelligence May Help Predict El Niño
Deep learning techniques give scientists the longest–lead time forecasts yet.
Finding Faces in Hailstorms
Machine learning technology helps scientists recognize severe weather patterns.
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.