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Digital twins are increasingly important i … Digital twins are increasingly important in many domains, including for understanding and managing the natural environment. Digital twins of the natural environment are fueled by the unprecedented amounts of environmental data now available from a variety of sources from remote sensing to potentially dense deployment of earth-based sensors. Because of this, data science techniques inevitably have a crucial role to play in making sense of this complex, highly heterogeneous data. This webinar will reflect on the role of data science in digital twins of the natural environment, with particular attention on how resultant data models can work alongside the rich legacy of process models that exist in this domain. We will seek to unpick the complex two-way relationship between data and process understanding. By focusing on the interactions, we will end up with a template for digital twins that incorporates a rich, highly dynamic learning process with the potential to handle the complexities and emergent behaviors of this important area.emergent behaviors of this important area. +
gblair@ceh.ac.uk +
CSDMS 2023 Webinars +
Gordon +
UK Center for Ecology and Hydrology +
Blair +
Webinar +
Digital Twins of the Natural Environment: Achieving a Synergy of Process and Data Understanding +
08:00:00, 5 October 2023 +
https://cuboulder.zoom.us/meeting/register/tJYuc-CgrjIvHtaFsmnnxo-XZ3xNx6UxatZY +
YmB1E9Wiemw +
United Kingdom +
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15:06:28, 12 June 2023 +
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22:33:11, 11 June 2025 +
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 + and River Network Modeling Initiative +
