EGU26-21582, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-21582
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 05 May, 10:55–11:05 (CEST)
 
Room D2
From climate simulations directly to actionable insights: The Climate Change Digital Twin
Theresa Kiszler1, Jenni Kontkanen1, Brynjar Sigurdsson1, Bruno de Paula Kinoshita2, Pierre-Antoine Bretonniere2, Devaraju Narayanappa1, Mario Acosta2, Suraj Polade1, Outi Sievi-Korte1, Thomas Jung9, Daniel Klocke10, Francisco Doblas-Reyes2, Nikolay Koldunov9, Aina Gaya-Àvila2, Jost von Hardenberg7, Paolo Davini5, Barbara Frueh3, Stephan Thober6, Sebastian Milinski8, Francesc Roura Adserias2, and the Climate DT team*
Theresa Kiszler et al.
  • 1CSC - IT center for science, Espoo, Finland
  • 2BSC - Barcelona Computing Center, Spain
  • 3DWD - German Weather Service, Germany
  • 5CNR, Italy
  • 6UFZ, Center for Environmental Research, Germany
  • 7POLITO, Italy
  • 8ECMWF, European Centre for Medium-Range Weather Forecasts
  • 9AWI - Alfred Wegener Insitut, Germany
  • 10MPI, Max Planck Institute for Meteorology, Germany
  • *A full list of authors appears at the end of the abstract

The Climate Change Adaptation Digital Twin (Climate DT), developed as part of the Destination Earth Initiative, produces global multi-decadal kilometer-scale simulations (5 – 10 km) in a new operational framework. A significant achievement in Climate DT is the capability to automatically process the hourly model output with impact applications which provide insights for users. Such applications include for instance the analysis of flood risks, renewable energy generation and wildfire risks. Therefore, Climate DT data can provide direct insights into potential adaptation requirements. Additionally, the Climate DT runs with multiple climate models (IFS-FESOM, IFS-NEMO and ICON) which led to the implementation of a standardized data portfolio on HealPix meshes, further benefiting data users in analyzing the data.

In this presentation we will introduce the operational Climate DT framework as well as the workflow that enables us to perform the climate simulations with automatic post-processing by multiple applications including scientific evaluation. Other aspects that will be introduced are the standardized data-portfolio and the simulations that have been performed so far as part of Climate DT.

Climate DT team:

Jenni Kontkanen, Brynjar Sigurdsson, Bruno de Paula Kinoshita, Pierre Antoine Bretonnière, Devaraju Narayanappa, Mario Acosta, Tuomas Lunttila, Outi Sievi-Korte, Ginka Van Thiele, Daniel Klocke, Kai Keller, Nikolay Koldunov, Aina Gaya i Àvila, Miguel Andrés-Martínez, Paolo Davini, MATTEO NURISSO, Stephan Thober, Sebastian Milinski, Francesc Roura Adserias, Suraj Polade, Thomas Jung, Kat Greyson, Francisco J. Doblas-Reyes, Jost von Hardenberg, Barbara Frueh, Tero Aalto, Jarmo Mäkelä, Amanda Duarte, Iker Gonzalez, and others

How to cite: Kiszler, T., Kontkanen, J., Sigurdsson, B., de Paula Kinoshita, B., Bretonniere, P.-A., Narayanappa, D., Acosta, M., Polade, S., Sievi-Korte, O., Jung, T., Klocke, D., Doblas-Reyes, F., Koldunov, N., Gaya-Àvila, A., von Hardenberg, J., Davini, P., Frueh, B., Thober, S., Milinski, S., and Roura Adserias, F. and the Climate DT team: From climate simulations directly to actionable insights: The Climate Change Digital Twin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-21582, https://doi.org/10.5194/egusphere-egu26-21582, 2026.