Welcome to GEMS: AGU's submission system

Open for submissions starting 7 December 2023

JGR: Machine Learning and Computation is dedicated to the publication of research that develops and explores innovative data-driven and computational methodologies based on statistical analysis, machine learning, artificial intelligence, and mathematical models, with the aim of advancing knowledge in the domain of Earth and space sciences. The journal will accept papers proposing novel results in all geosciences including the broad fields of (1) solar and space physics, (2) geophysical fluids and planetary environments, (3) Earth surface and interiors, (4) geochemistry and biogeosciences.

Editor in Chief: Enrico Camporeale

Add your ORCID to GEMS and always have this identifier link you and all of your work. AGU encourages all authors and reviewers to create and add an Open Researcher and Contributor Identifier (ORCID) to their account. It’s easy: just update your profile on an existing account or add ORCID when you create your account. Learn more about ORCID.

ORCIDS will now be required for all corresponding authors and strongly encouraged for coauthors.
AGU officially joins with a number of other publishers in a commitment to include the ORCID (Open Researcher and Contributor ID) for authors of all papers published. See statement https://eos.org/agu-news/agu-opens-its-journals-to-author-identifiers

All AGU journal content published from 1997 to 24 months ago is freely accessible online. Content published in AGU's open access journals, including JGR: Machine Learning and Computation become fully open immediately upon publication.

Please note: Your username/password will be synched across AGU and be a universal login. The AGU membership site will be accessible with the same username/password you have used or updated in GEMS, and vice versa.





New authors should register for an account.Help Unknown/Forgotten password?Help