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Digital Twins of the Natural Environment

Research output: Contribution to journalJournal articlepeer-review

Published
Article number100359
<mark>Journal publication date</mark>8/10/2021
<mark>Journal</mark>Patterns
Issue number10
Volume2
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Digital twins emerged in the field of engineering but are now being applied in many areas of study. This article reflects on the enormous potential of digital twins of the natural environment, and proposes an approach that builds on the massive legacy of process model understanding in this area combined with new insights from data understanding, including from AI/machine learning.