Special Issue - Machine Learning for Ocean Modelling

[Pierre Lermusiaux]

Dear Colleagues,

The deadline for the OM Special Issue on "Machine Learning for Ocean
Modelling" has been extended to August 31, 2024. See more information
below. We all look forward to your contributions.

Ocean science, as a form of quantitative intelligence, is a systematic
enterprise that creates knowledge and builds models from reproducible sea
experiments and testable predictions. The nascent explosion of artificial
intelligence methods, from dynamic Bayesian inference to deep learning,
provides an unprecedented opportunity to help ocean modelers analyze data
and accelerate scientific progress by extracting new knowledge and models.
This special issue is interested in studies that provide important new
developments in all aspects of machine learning for ocean modelling, from
new learning theory, methods, and architectures to the implementation of
existing schemes to ocean modelling.

The journal's submission platform (https://www.editorialmanager.com/ocemod/default.aspx) is available for
receiving submissions to this Special Issue. Please refer to the Guide for
Authors to prepare your manuscript and select the article type of
“VSI:Machine Learning” when submitting your manuscript online.

For more information, see this link:

https://www.sciencedirect.com/journal/o ... -modelling

Thank you,

The Guest Editors

[Pierre Lermusiaux]

Here is the full link:  Call for papers - Ocean Modelling | ScienceDirect.com by Elsevier