• About
  • Special Reports
  • Topics
    • Climate
    • Earth Science
    • Oceans
    • Space & Planets
    • Health & Ecosystems
    • Culture & Policy
    • Education & Careers
    • Opinions
  • Projects
    • Postcards From the Field
    • ENGAGE
    • Editors’ Highlights
    • Editors’ Vox
    • Eos en Español
    • Eos 简体中文版
    • Print Archive: 2015–2025
  • Policy Tracker
  • Blogs
    • Research & Developments
    • The Landslide Blog
  • Newsletter
  • Submit to Eos
  • AGU.org
  • Career Center
  • Join AGU
  • Give to AGU
  • About
  • Special Reports
  • Topics
    • Climate
    • Earth Science
    • Oceans
    • Space & Planets
    • Health & Ecosystems
    • Culture & Policy
    • Education & Careers
    • Opinions
  • Projects
    • Postcards From the Field
    • ENGAGE
    • Editors’ Highlights
    • Editors’ Vox
    • Eos en Español
    • Eos 简体中文版
    • Print Archive: 2015–2025
  • Policy Tracker
  • Blogs
    • Research & Developments
    • The Landslide Blog
  • Newsletter
  • Submit to Eos
Skip to content
  • AGU.org
  • Career Center
  • Join AGU
  • Give to AGU
Eos

Eos

Science News by AGU

Support Eos
Sign Up for Newsletter
  • About
  • Special Reports
  • Topics
    • Climate
    • Earth Science
    • Oceans
    • Space & Planets
    • Health & Ecosystems
    • Culture & Policy
    • Education & Careers
    • Opinions
  • Projects
    • Postcards From the Field
    • ENGAGE
    • Editors’ Highlights
    • Editors’ Vox
    • Eos en Español
    • Eos 简体中文版
    • Print Archive: 2015–2025
  • Policy Tracker
  • Blogs
    • Research & Developments
    • The Landslide Blog
  • Newsletter
  • Submit to Eos

E. A. Barnes

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.

Storm clouds gather over dry farmland in Nebraska.
Posted inScience Updates

Bridging the Weather-to-Climate Prediction Gap

by A. Mariotti, E. A. Barnes, E. K.-M. Chang, A. Lang, P. A. Dirmeyer, K. Pegion, D. Barrie and C. Baggett 19 February 201930 January 2024

A task force of researchers set out to bridge the gap between the 2-week weather forecast and long-term climate predictions; their findings could help in forecasting the likelihood of extreme events.

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

How Internal Waves Transport Energy Thousands of Miles Across the Ocean

26 March 202626 March 2026
Editors' Highlights

Machine Learning Could Enhance Earth System Modeling

10 April 20267 April 2026
Editors' Vox

Synergistic Integration of Flood Inundation Modeling Methods

10 April 202610 April 2026
Eos logo at left; AGU logo at right

About Eos
ENGAGE
Awards
Contact

Advertise
Submit
Career Center
Sitemap

© 2026 American Geophysical Union. All rights reserved Powered by Newspack