The interTwin DTE: supporting the development of extreme weather events applications

Abstract

The Horizon Europe interTwin project is developing a highly generic yet powerful Digital Twin Engine (DTE) to support interdisciplinary Digital Twins (DT). Comprising thirty-one high-profile scientific partner institutions, the project brings together infrastructure providers, technology providers, and DT use cases from Climate Research and Environmental Monitoring, High Energy and AstroParticle Physics, and Radio Astronomy. This group of experts enables the co-design of the DTE Blueprint Architecture and the prototype platform; benefiting end users like scientists and policymakers but also DT developers. It achieves this by significantly simplifying the process of creating and managing complex Digital Twins workflows. In the context of the project, among others, Digital Twin (DT) applications for extreme events (such as tropical cyclones and wildfires) on climate projections are being implemented. Understanding how climate change affects extreme events is crucial since such events can have a significant impact on ecosystems, and cause economic losses and casualties. In particular, the DT applications are based on Machine Learning (ML) approaches for the detection and prediction of the events exploiting climate/environmental variables. The interTwin DTE is aimed at providing the software and computing infrastructure for handling these complex applications in terms of AI model, data processing and workflow management.   The contribution will cover the use cases concerning extreme weather events, supported by project partner CMCC.  interTwin is funded by the European Union (Horizon Europe) under grant agreement No 101058386.