Project Description

Ice sheets are a key component of the Earth system, impacting on global sea level, ocean circulation and bio-geochemical processes. Significant quantities of melt water are being produced and transported at the ice sheet surface, base, and beneath its floating sections, and this water is in turn interacting with the ice sheet itself. 

The Digital Twin Antarctica project aims at generating an advanced dynamic reconstruction of Antarctica’s hydrology, interaction with ocean and atmosphere, to be used by stakeholders such as decision makers, agencies, managers, scientists and engaged citizens. The objectives of the reconstructions are to combine state of the art observation of past and current state combined with simulation of past, present and future state of the Earth system in and around Antarctica. 

Within this demonstrator we  advance ice sheet products via use of advanced Machine Learning techniques combination of data and regional climate model simulation, provide simulations of system state out with the reach of observation, and simulate the system evolution under future scenarios. These products are combined in a dynamic interactive reconstruction that  enable users to navigate the various products, explore interactions between components, and efficiently access key summary information and figures.