Future digital twins: emulating a highly complex marine biogeochemical model with machine learning to predict hypoxia (2023)
Attributed to:
NCEO LTS-S
funded by
NERC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.3389/fmars.2023.1058837
Publication URI: http://dx.doi.org/10.3389/fmars.2023.1058837
Type: Journal Article/Review
Parent Publication: Frontiers in Marine Science