Presenters-0649

From CSDMS
CSDMS 2024 Webinars


Developing AI and research pipelines for operational use: towards Digital Twins


Registration link: https://cuboulder.zoom.us/meeting/register/tJAodeiurz4qHtZ_eqDDdVB0gVcBkUJC4qij

James Byrne

British Antarctic Survey, United Kingdom
jambyr@bas.ac.uk
Jonathan Smith British Antarctic Survey United Kingdom


Abstract
In this presentation, James Byrne (Lead Research Software Engineer) and

Jonathan Smith (Principal Research Scientist) from the British Antarctic Survey will be describing existing digital infrastructure projects and developments happening in and around BAS. They will give a flavour of how technology is influencing the development of environmental and polar science, covering numerous research and operational domains. They will be focusing on the digital infrastructure applied to IceNet, an AI-based deep learning infrastructure. We will then show how generalized approaches to digital infrastructure are being applied to other areas, including cutting-edge Autonomous Marine Operations Planning (AMOP) capabilities.

We will end highlighting the challenges that need solving in working towards an Antarctic Digital Twin and how we might approach them.

Please acknowledge the original contributors when you are using this material. If there are any copyright issues, please let us know (CSDMSweb@colorado.edu) and we will respond as soon as possible.

Of interest for:
  • Marine Working Group
  • Terrestrial Working Group
  • Coastal Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Cyberinformatics and Numerics Working Group
  • Hydrology Focus Research Group
  • Chesapeake Focus Research Group
  • Critical Zone Focus Research Group
  • Human Dimensions Focus Research Group
  • Geodynamics Focus Research Group
  • Ecosystem Dynamics Focus Research Group
  • Coastal Vulnerability Initiative
  • Continental Margin Initiative
  • Artificial Intelligence & Machine Learning Initiative
  • Modeling Platform Interoperability Initiative
  • River Network Modeling Initiative