Digital Twin of the Polar Regions

Developing AI and digital infrastructure for digital twinning of the polar regions

Start date
1 December, 2021
End date
30 November, 2030

As anthropogenic warming continues to put strain on our natural environments, it now is crucial that decision-makers have ready-access to actionable and interpretable information on the current states of environmental systems and future projections, with quantifiable uncertainties, to help safeguard human populations and delicate ecosystems.

 

Digital Twins (DTs) are the next generation technology for environmental modelling, taking us beyond data assimilation by enabling us to get answers to “what-if” questions within seconds[3]. DTs are already in operation in other domains[4] and involve highly interoperable data pipelines, optimisation, and a mixture of knowledge-informed and data-driven probabilistic machine learning (ML). DTs are increasingly becoming a key component for research discovery, education, and aiding discussions at the board-level without having to wait weeks to months for results from traditional computer models.

 

Themes:

  • Sea ice prediction
  • Sea level prediction
  • Earth observstion, detection and tracking
  • Fleet management for autoamted vehicles
  • Data pipelines and digital infrastructure