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Enrico Camporeale

Image of a Coronal Mass Ejection traveling towards Earth.
Posted inEditors' Vox

Machine Learning Helps to Solve Problems in Heliophysics

by Enrico Camporeale, Veronique Delouille, Thomas Berger and Sophie Murray 3 November 20222 November 2022

A new special collection invites papers pertaining to the use of machine learning techniques in all sub-fields of heliophysics.

Artistic representation of a coronal mass ejection from the Sun heading toward Earth.
Posted inOpinions

Ten Ways to Apply Machine Learning in Earth and Space Sciences

by J. Bortnik and Enrico Camporeale 29 June 202110 October 2021

Machine learning is gaining popularity across scientific and technical fields, but it’s often not clear to researchers, especially young scientists, how they can apply these methods in their work.

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

Space Weather in the Machine Learning Era

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

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

A view of a Washington, D.C., skyline from the Potomac River at night. The Lincoln Memorial (at left) and the Washington Monument (at right) are lit against a purple sky. Over the water of the Potomac appear the text “#AGU24 coverage from Eos.”

Features from AGU Publications

Research Spotlights

Machine Learning Simulates 1,000 Years of Climate

27 August 202527 August 2025
Editors' Highlights

Quantifying Predictability of the Middle Atmosphere

5 September 20255 September 2025
Editors' Vox

Experienced Researcher Book Publishing: Sharing Deep Expertise

3 September 202526 August 2025
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