Day 4

Detailed paper information

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Paper title Digital Twin Antarctica - hands on demonstrator
Authors
  1. Martin Ewart Earthwave Speaker
  2. Alex Horton Earthwave Ltd. Speaker
  3. Noel Gourmelen University of Edinburgh
  4. Daniel Goldberg University of Edinburgh
  5. Ghislain Picard Université Grenoble Alpes
  6. Malcolm McMillan Lancaster University
  7. Xavier Fettweis University of Liège, Liège, Belgium
  8. Amber Leeson Lancaster Environment Centre, Lancaster University
  9. Amos Storkey University of Edinburgh
  10. Livia Jakob Earthwave
  11. Diarmuid Corr Lancaster Environment Centre, Lancaster University
Form of presentation Poster
Topics
  • C2. Digital Twins
    • C2.01 Towards a Digital Twin of the Earth - advances and challenges ahead
Abstract text Constantly fed with Earth observation data, combined with in situ measurements, artificial intelligence, and numerical simulations, a Digital Twin of the Earth will help visualise the state of the planet, and enable what-if scenarios supporting decision making. In September 2020, ESA began a number of precursor projects with the aim of prototyping digital twins of the different key parts of the Earth’s system including the Antarctic Ice Sheet system.

The Antarctic Ice Sheet is a major reservoir of freshwater in the world with a huge potential to contribute to sea level rise in the future, having a large impact on atmospheric circulations, and on oceanic circulation and bio-chemical activity. Digital Twin Antarctica brings together Earth Observation, Models and Artificial Intelligence to tackle some of the processes responsible for the surface and basal melting currently taking place, and it’s impact.

Here we propose a live demonstration of the Digital Twin of Antarctica prototype via an immersive 4D virtual world allowing one to interactively navigate the Antarctica dataset through space and time, and to explore the synergies between observations, numerical simulations, and AI. Case studies will illustrate how assimilation of the surface observation of melt can help to improve regional climate models, how combining satellite observation and physics leads to detailed quantification of melt rates under the ice sheet and ice shelves, and how it helps predict pathways and fluxes of sub-glacial meltwater under the ice sheet as well as its interaction with the ocean as it emerges from under the ice sheet and creates buoyant meltwater plumes.

In addition, the interactive demonstration will show how assimilating models with Earth Observation data in a service orientated architecture with underlying data lake and orchestration framework is paramount to enabling the calculation and exploration of scenarios in an interactive, timely, transparent and repeatable manner.