Special Issue - Machine Learning for Ocean Modelling

[Pierre F.J Lermusiaux]

 

Dear Colleagues,

 

By popular demand, the OM Special Issue on "Machine Learning for Ocean Modelling" deadline is extended to November 30, 2024. See more information here Call for papers - Ocean Modelling | ScienceDirect.com by Elsevier and 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 modeling, from new learning theories, methods, and architectures to the implementation of existing schemes to ocean modeling.

 

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

 

For more information, see this link: Call for papers - Ocean Modelling | ScienceDirect.com by Elsevier.

 

Thank you,

 

The Guest Editors