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machine learning & AI

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.

Ship tracks (linear cloud features) seen over the Pacific Ocean.
Posted inNews

Algorithm Spots Climate-Altering Ship Tracks in Satellite Data

Katherine Kornei, Science Writer by Katherine Kornei 23 July 201918 October 2022

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.

Futuristic interface concept. - Stock image
Posted inScience Updates

Machine Learning in Geoscience: Riding a Wave of Progress

by Daniel T. Trugman, G. C. Beroza and P. A. Johnson 3 May 201913 January 2022

2nd Annual Machine Learning in Solid Earth Geoscience Conference; Santa Fe, New Mexico, 18–22 March 2019

Satellite image of a fire in Northern California
Posted inNews

New Eyes on Wildfires

Jon Kelvey, Science Writer by Jon Kelvey 30 April 20192 July 2025

Onboard machine learning and compact thermal imaging could turn satellites into real-time fire management tools to help officials on the ground.

Global map of the dominant cycles in surface partial pressure of carbon dioxide
Posted inEditors' Highlights

Sea-Surface Carbon Patterns Linked to Large-scale Climate Modes

by J. Sprintall 2 April 201927 September 2022

A new 34-year global time series of observed sea surface partial pressure of CO2 links regional variation to major climate modes.

A shallow coral reef at low tide near the Mariana Islands and Guam
Posted inNews

Coral Reef Video Game Will Help Create Global Database

Kimberly M. S. Cartier, News Writing and Production Intern for Eos.org by Kimberly M. S. Cartier 19 December 20187 November 2022

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

by M. K. Savage 26 July 201813 January 2022

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.

Researchers discuss the potential for machine learning applications in space science
Posted inScience Updates

Space Weather in the Machine Learning Era

by Enrico Camporeale, Simon Wing and J. Johnson 6 July 2018

Space Weather: A Multi-disciplinary Approach; Leiden, Netherlands, 25–29 September 2017

Researchers look to bacterial DNA to understand river flow.
Posted inResearch Spotlights

Using Microbes to Predict the Flow of Arctic Rivers

by E. Underwood 15 May 20184 January 2023

Bacterial DNA provides a good estimate of river discharge.

Posted inEditors' Vox

Deep Learning: A Next-Generation Big-Data Approach for Hydrology

by C. Shen 25 April 20189 March 2023

What can Artificial Intelligence offer hydrologic research? Could deep learning one day become part of hydrology itself?

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Over a dark blue-green square appear the words Special Report: The State of the Science 1 Year On.

Features from AGU Publications

Research Spotlights

Extensive Sand Dune Loss Threatens California Coast

26 June 202625 June 2026
Editors' Highlights

Fluid-Driven Reactions Restore Fault Strength Between Earthquakes

30 June 202630 June 2026
Editors' Vox

Small-Scale Indian Ocean Dynamics Underpin Marine Ecology and Climate

4 June 20263 June 2026
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