EGU25-9092, updated on 14 Mar 2025
https://doi.org/10.5194/egusphere-egu25-9092
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 30 Apr, 08:40–08:50 (CEST)
 
Room 0.14
An overview of findings from km-scale simulations of the Destination Earth Climate Adaptation Digital Twin: successes, limitations and future challenges 
Paolo Davini1, Jost von Hardenberg1,2, Matteo Nurisso1, Silvia Caprioli2, Natalia Nazarova2, Supriyo Ghosh3, Ingo Wagner3, Nuno Rocha3, Marc Battle3, Pablo Ortega3, Leo Arriola3, Rene Redler4, Daniel Klocke4, Jenni Kontkanen5, and Sebastian Milinski6
Paolo Davini et al.
  • 1CNR-ISAC, Istituto di Scienze dell'Atmosfera e del Clima, Torino, Italy
  • 2Department of Environment, Land and Infrastructure Engineering (DIATI) Politecnico di Torino, Torino, Italy
  • 3Barcelona Supercomputing Center (BSC), Barcelona, Spain
  • 4Max Planck Institute for Meteorology, Hamburg, Germany
  • 5CSC – IT Center for Science, Espoo, Finland
  • 6European Centre for Medium Range Weather Forecast (ECMWF)

The Destination Earth Climate Adaptation Digital Twin represents a groundbreaking initiative aimed at achieving operational kilometer-scale global climate simulations for climate adaptation. During Phase 1 (Oct 2022 - Apr 2024), significant technological and scientific advancements have been made, resulting in the production of high-resolution historical (1990-2019, at 10 km) and SP370 scenario (2020-2039, at 5 km) datasets using two state-of-the-art models: IFS-NEMO and ICON.

These high-resolution simulations have demonstrated positive results in capturing extreme precipitation events and provide a realistic representation of the mean climate. The historical simulations outperform the CMIP6 model ensemble across various metrics, as assessed by the Reichler and Kim (2008) Performance Indices. In particular, IFS-NEMO exhibits well-defined precipitation patterns and vertical zonal wind structures, despite a persistent cold temperature bias. Meanwhile, ICON’s simulations - while showing more realistic temperature patterns - are characterized by an overly marked warming rate.

Both ICON and IFS-NEMO biases have been traced to suboptimal initialization strategies and oceanic tuning, both of which are being addressed in preparation for Phase 2. The ongoing efforts aim to refine these models further, enhancing their accuracy and reliability for climate adaptation policies.

How to cite: Davini, P., von Hardenberg, J., Nurisso, M., Caprioli, S., Nazarova, N., Ghosh, S., Wagner, I., Rocha, N., Battle, M., Ortega, P., Arriola, L., Redler, R., Klocke, D., Kontkanen, J., and Milinski, S.: An overview of findings from km-scale simulations of the Destination Earth Climate Adaptation Digital Twin: successes, limitations and future challenges , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-9092, https://doi.org/10.5194/egusphere-egu25-9092, 2025.