“Spatiotemporal AI and Digital Twinning for the Polar Environment”
The Earth’s polar regions are among the most vulnerable ecosystems to the adverse effects of climate change. Understanding these complex environmental changes requires sophisticated digital tools and predictive models. This seminar will explore how the integration of spatiotemporal AI techniques offers unprecedented capabilities for monitoring and predicting polar environments to make informed and timely decisions.
We will explore the power of digital twins to create dynamic virtual replicas of the polar regions to enable researchers to gain deeper insights into polar processes and make more informed predictions. The seminar will highlight examples of how this cutting-edge technology is utilised to: Forecast sea ice change for shipping and wildlife; Monitor ice sheet dynamics and sea level rise; Track changing polar ecosystems and biodiversity; and to Predict extreme weather events in polar regions.
