Earth scientists outline challenges to making the growing wealth of available data more accessible and to using data services for interdisciplinary research and applications.
Machine learning
Posted inEditors' Highlights
A New Global Map of Seafloor Fluid Expulsion Anomalies
The first open-source database of SEAfloor FLuid Expulsion Anomalies (SEAFLEASs) at a global scale reveals their distribution and physical parameters.
Posted inResearch Spotlights
Machine Learning Improves Weather and Climate Models
New research evaluates the performance of generative adversarial networks for stochastic parameterizations.
Posted inNews
Combining AI and Analog Forecasting to Predict Extreme Weather
New deep learning technique brings an obsolete forecasting method “back to life” to predict extreme weather events.
Posted inNews
New Study Hints at Bespoke Future of Lightning Forecasting
Researchers used machine learning to develop a model that can predict lightning strikes to within 30 minutes of their occurrence and within 30 kilometers of a weather station by using just four simple atmospheric measurements.
Posted inNews
The Ice Giant Spacecraft of Our Dreams
Scientists imagined some innovative technologies that could enhance a future mission to Uranus or Neptune.
Posted inNews
Virtual Super Instrument Enhances Solar Spacecraft
The same algorithms that help control self-driving cars and speech-to-text functionality have helped build a virtual instrument to study the Sun.
Posted inOpinions
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.
Posted inNews
Finding Faces in Hailstorms
Machine learning technology helps scientists recognize severe weather patterns.
Posted inOpinions
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.