Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1016/j.jemets.2025.100015 |
Licence ![]() |
|
| Title (Primary) | Implementing digital twin technology of the earth system in Destination Earth |
| Author | Wedi, N.; Sandu, I.; Bauer, P.; Acosta, M.; Andersen, R.C.; Andrae, U.; Auger, L.; Balsamo, G.; Baousis, V.; Bennett, V.; Bennett, A.; Buontempo, C.; Bretonnière, P.-A.; Capell, R.; Castrillo, M.; Chantry, M.; Chevallier, M.; Correa, R.; Davini, P.; Denby, L.; Doblas-Reyes, F.; Dueben, P.; Fischer, C.; Frauen, C.; Frogner, I.-L.; Früh, B.; Gascón, E.; Gérard, E.; Gorwits, O.; Geenen, T.; Grayson, K.; Guenova-Rubio, N.; Hadade, I.; von Hardenberg, J.; Haus, U.-U.; Hawkes, J.; Hirtl, M.; Hoffmann, J.; Horvath, K.; Järvinen, H.; Jung, T.; Kann, A.; Klocke, D.; Koldunov, N.; Kontkanen, J.; Sievi-Korte, O.; Kristiansen, J.; Kuwertz, E.; Mäkelä, J.; Maljutenko, I.; Manninen, P.; McKnight, U.S.; Milinski, S.; Mueller, A.; McNally, A.; Modigliani, U.; Narayanappa, D.; Nielsen, K.P.; Nipen, T.; Nortamo, H.; Peuch, V.-H.; Polade, S.; Quintino, T.; Schicker, I.; Reuter, B.; Smart, S.; Sleigh, M.; Suttie, M.; Termonia, P.; Thober, S.
|
| Source Titel | Journal of the European Meteorological Society |
| Year | 2025 |
| Department | CHS |
| Volume | 3 |
| Page From | art. 100015 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Keywords | Numerical weather prediction; high performance computing; climate change adaptation; earth system modelling; digital twins; Destination Earth |
| Abstract | The Destination Earth (DestinE) initiative of the European Commission applies digital twin technology to the Earth system, enabling bespoke, high-resolution simulations of extreme weather events and climate scenarios. At its core, DestinE features Digital Twins and a Digital Twin Engine — a software framework that connects computing, Earth system models, data, and applications. DestinE’s Digital Twins combine observations, physics-based high-resolution simulations and emerging Artificial Intelligence (AI) methods, and leverage Europe’s most powerful supercomputers, through a strategic partnership with the European High Performance Computing Joint Undertaking (EuroHPC JU). DestinE enables tailored Earth system simulations to dynamically explore future weather and climate scenarios and to address “what-if” questions. It also establishes an operational framework for multi-decadal, multi-model climate projections, linking them to applications that transform vast climate data into actionable insights for climate sensitive sectors. By offering detailed, customized information on weather and climate extremes, DestinE enhances existing capabilities and supports both immediate and longer-term climate adaptation strategies. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31561 |
| Wedi, N., Sandu, I., Bauer, P., Acosta, M., Andersen, R.C., Andrae, U., Auger, L., Balsamo, G., Baousis, V., Bennett, V., Bennett, A., Buontempo, C., Bretonnière, P.-A., Capell, R., Castrillo, M., Chantry, M., Chevallier, M., Correa, R., Davini, P., Denby, L., Doblas-Reyes, F., Dueben, P., Fischer, C., Frauen, C., Frogner, I.-L., Früh, B., Gascón, E., Gérard, E., Gorwits, O., Geenen, T., Grayson, K., Guenova-Rubio, N., Hadade, I., von Hardenberg, J., Haus, U.-U., Hawkes, J., Hirtl, M., Hoffmann, J., Horvath, K., Järvinen, H., Jung, T., Kann, A., Klocke, D., Koldunov, N., Kontkanen, J., Sievi-Korte, O., Kristiansen, J., Kuwertz, E., Mäkelä, J., Maljutenko, I., Manninen, P., McKnight, U.S., Milinski, S., Mueller, A., McNally, A., Modigliani, U., Narayanappa, D., Nielsen, K.P., Nipen, T., Nortamo, H., Peuch, V.-H., Polade, S., Quintino, T., Schicker, I., Reuter, B., Smart, S., Sleigh, M., Suttie, M., Termonia, P., Thober, S., Randriamampianina, R., Theeuwes, N., Thiemert, D., Vannière, B., Vannitsem, S., Wittmann, C., Yang, X., Pontaud, M., Stevens, B., Pappenberger, F. (2025): Implementing digital twin technology of the earth system in Destination Earth Journal of the European Meteorological Society 3 , art. 100015 10.1016/j.jemets.2025.100015 |
|
