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machine learning & AI

Ash from the Sierra Negra volcano on Isla Isabela in the Galápagos Islands drifts across the sky during an October 2005 eruption.
Posted inResearch Spotlights

Forecasting Volcanic Eruptions with Artificial Intelligence

by E. Underwood 3 December 20195 January 2022

A machine learning algorithm automatically detects telltale signs of volcanic unrest.

The biaxial earthquake machine at Pennsylvania State University.
Posted inFeatures

Machine Fault

by S. E. Pratt 25 November 20192 March 2022

Applying machine learning to subtle acoustic signals from an earthquake machine has revealed big clues about fault behavior in the lab.

Jupiter’s aurora captured by the Hubble Space Telescope
Posted inNews

Computers Tease Out Secrets of Jupiter’s Aurorae

Nola Taylor Redd, Science Writer by Nola Taylor Tillman 21 November 201910 February 2023

Aurorae once classified by human eyes are now being sorted by machines. The change may help astronomers understand how the mysterious features are powered.

An image of a solar flare in extreme ultraviolet
Posted inNews

Virtual Super Instrument Enhances Solar Spacecraft

Nola Taylor Redd, Science Writer by Nola Taylor Tillman 1 November 201921 February 2023

The same algorithms that help control self-driving cars and speech-to-text functionality have helped build a virtual instrument to study the Sun.

An illustration of rainfall estimates from ground-based radar and spaceborne Tropical Rainfall Measuring Mission (TRMM) radar
Posted inEditors' Highlights

Machine Learning Improves Satellite Rainfall Estimates

by Valeriy Ivanov 31 October 201925 July 2022

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.

Before choosing an appropriate artificial intelligence approach for an Earth science application, key questions must be considered
Posted inOpinions

Thoughtfully Using Artificial Intelligence in Earth Science

by I. Ebert-Uphoff, S. M. Samarasinghe and E. A. Barnes 11 October 201915 October 2019

Deriving scientific insights from artificial intelligence methods requires adhering to best practices and moving beyond off-the-shelf approaches.

A global map of ocean temperature during the 2016 El Niño event
Posted inNews

Artificial Intelligence May Help Predict El Niño

Jenessa Duncombe, Staff Writer by Jenessa Duncombe 25 September 20195 July 2022

Deep learning techniques give scientists the longest–lead time forecasts yet.

An ominous dark cloud gathers above a dirt road
Posted inNews

Finding Faces in Hailstorms

Mary Caperton Morton, Science Writer by Mary Caperton Morton 13 September 20198 March 2022

Machine learning technology helps scientists recognize severe weather patterns.

Phytoplankton under a scanning electron microscope
Posted inNews

Artificial Intelligence Can Spot Plankton from Space

Jenessa Duncombe, Staff Writer by Jenessa Duncombe 6 September 20191 February 2023

Training an algorithm with satellite images of ocean color reveals the blooms and busts of phytoplankton communities.

Hurricane Michael approaches the coastline of the Florida Panhandle on 10 October 2018.
Posted inOpinions

Artificial Intelligence May Be Key to Better Weather Forecasts

by S.-A. Boukabara, V. Krasnopolsky, J. Q. Stewart, S. G. Penny, R. N. Hoffman and E. Maddy 1 August 20195 October 2021

Recent advances in machine learning hold great potential for converting a deluge of data into weather forecasts that are fast, accurate, and detailed.

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