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Future digital twins: emulating a highly complex marine biogeochemical model with machine learning to predict hypoxia (2023)

First Author: Skákala J

Attributed to: PML Today's Models, tomorrow's futures (ecosystem models and observing systems) 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