EMS Annual Meeting Abstracts
Vol. 23, EMS2026-104, 2026, updated on 22 Jun 2026
https://doi.org/10.5194/ems2026-104
EMS Annual Meeting 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 08 Sep, 16:15–16:30 (CEST)| Room Expedition
Enhancing the ICON reanalysis dataset for energy‑sector applications within the MEDAILLON project
Rebekka Schiller1,2, Jaqueline Drücke1, Anna Christina Mikalsen1, Arianna Valmassoi1, Frank Kaspar3, Rainer Hollmann1, David Geiger2,4, Doron Callies2,4, and Lukas Pauscher2,4,5
Rebekka Schiller et al.
  • 1Deutscher Wetterdienst, Offenbach, Germany (rebekka.schiller@dwd.de)
  • 2Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), Kassel, Germany
  • 3EUMETSAT, Darmstadt, Germany
  • 4Universität Kassel, Department of Sustainable Electrical Energy Systems, Germany
  • 5Vrije Universiteit Brussel, Acoustics and Vibrations Research Group (AVRG), Belgium

High-resolution meteorological data are essential for the energy sector because they are central for the design and operation of renewable‑energy systems. Existing data sets, however, exhibit shortcomings. Within the MEDAILLON project, the German Meteorological Service (DWD), in cooperation with Fraunhofer Institute for Energy Economics and Energy System Technology (IEE), the University of Kassel, and menzio GmbH, uses the ICON-DREAM reanalysis to develop a meteorological data set tailored for Germany’s energy sector. Potential stakeholders were consulted during the development phase to ensure the dataset meets their needs.

The meteorological dataset builds upon the ICON‑DREAM reanalysis – “ICON‑Dual‑resolution Reanalysis for Emulators, Applications and Monitoring” [1] – developed and produced by DWD based on the ICON numerical-weather-prediction (NWP) framework. ICON‑DREAM also includes a 20‑member ensemble for uncertainty assessment and is statistically processed to produce ensemble statistics such as mean, median, standard deviation, and min/max for each variable. Current data cover 2010 to July 2025 at hourly temporal resolution [2]. We aim to update the data continuously and extend the archive back to the 1980s.

To meet the specific needs of the German energy sector, we extract a national subset from the ICON‑DREAM‑EU domain. This subset is delivered at a spatial resolution of 6.5 × 6.5 km for the deterministic fields and at 20 × 20 km for the ensemble members. This contribution presents an evaluation of the reanalysis against parameters relevant to the renewable‑energy sector – such as wind speed and wind direction at hub height, radiation and temperature. The dataset will be released as an optimized, user‑friendly product, including uncertainty estimation from the ensemble. In accordance with the DWDs Open Data Policy the dataset will be provided free of charge. The evaluation draws on observational data and accounts for extreme events.

 

[1] Valmassoi, A., J. D. Keller, R. Potthast, H. Anlauf, A. Cress, F. Kaspar, and A. Becker: ICON-DREAM: the new dual resolution reanalysis from DWD. ICCARUS Book of Abstracts 2025. https://dx.doi.org/10.5676/DWD_pub/nwv/iccarus_2025

[2] Valmassoi, Arianna; Anlauf, Harald; Becker, Andreas; Keller, Jan D.; Krebber, Sibylle; Zängl, Günther; Potthast, Roland; Cress, Alexander; Fundel, Felix; Hanisch, Thomas; Lange, Martin; Steinert, Thorsten; Kaspar, Frank, "ICON-DREAM: ICON-Dual resolution Reanalysis for Emulators, Applications and Monitoring The ICON-Dual resolution reanalysis version v1.0." Deutscher Wetterdienst, 2025, doi:10.5676/dwd/icon-dream_v1.

Acknowledgement: This work was supported by the Federal Ministry for Economic Affairs and Energy through the Medaillon project (CNr: 03EI1059D).

How to cite: Schiller, R., Drücke, J., Mikalsen, A. C., Valmassoi, A., Kaspar, F., Hollmann, R., Geiger, D., Callies, D., and Pauscher, L.: Enhancing the ICON reanalysis dataset for energy‑sector applications within the MEDAILLON project, EMS Annual Meeting 2026, Utrecht, Netherlands, 6–11 Sep 2026, EMS2026-104, https://doi.org/10.5194/ems2026-104, 2026.