Adv. Sci. Res., 20, 109–128, 2023 https://doi.org/10.5194/asr-20-109-2023 © Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License. E M S A nnualM eeting:E uropean C onference forA pplied M eteorology and C lim atology 2022 Intercomparing the quality of recent reanalyses for offshore wind farm planning in Germany’s exclusive economic zone of the North Sea Thomas Spangehl1, Michael Borsche1, Deborah Niermann1, Frank Kaspar2, Semjon Schimanke3, Susanne Brienen4, Thomas Möller5, and Maren Brast6 1National Climate Monitoring, Deutscher Wetterdienst, Offenbach, Germany 2Hydrometeorology, Deutscher Wetterdienst, Offenbach, Germany 3Swedish Meteorological and Hydrological Institute, Norrköping, Sweden 4Central Climate Office, Deutscher Wetterdienst, Offenbach, Germany 5Marine Climate Monitoring, Deutscher Wetterdienst, Hamburg, Germany 6Site Investigation, Bundesamt für Seeschifffahrt und Hydrographie, Hamburg, Germany Correspondence: Thomas Spangehl (thomas.spangehl@dwd.de) Received: 25 February 2023 – Revised: 25 September 2023 – Accepted: 4 October 2023 – Published: 17 November 2023 Abstract. In order to facilitate offshore wind farm tenders, Deutscher Wetterdienst (DWD, Germany’s national meteorological service) provides reanalysis data and quality assessments to Bundesamt für Seeschifffahrt und Hydrographie (BSH, Federal Maritime and Hydrographic Agency). The regional reanalysis COSMO-REA6 is used besides the global reanalysis ERA5. New reanalyses and derived products getting available are (i) the re- gional reanalysis CERRA (C3S), (ii) COSMO-R6G2, a successor of COSMO-REA6 which is currently produced by DWD and (iii) HoKliSim-De, a convection-permitting climate simulation for Germany with COSMO-CLM as a regional downscaling of ERA5. In the present study, the quality of the different data sets for offshore wind energy application is compared using in-situ measurements of the wind speed and wind direction from the top anemometer and vane of the FINO1 research platform and satellite-based data of the near-surface wind speed from the Copernicus Marine Environment Monitoring Service (CMEMS) and the EUMETSAT Satellite Appli- cation Facility on Climate Monitoring (CM SAF). Evaluation at FINO1 focuses on the time period prior to the installation of nearby wind farms to avoid wake effects. COSMO-REA6, CERRA and HoKliSim-De show only small biases and resemble the observed distri- bution of the wind speed at FINO1 whereas ERA5 shows slightly lower values of the wind speed at 100 m. All model-based products tend to slightly underestimate the occurrence of south-westerly wind directions and over- estimate wind directions from West to Northwest. Smallest directional biases are analysed for COSMO-REA6. Analysis of the windstorm CHRISTIAN suggests that ensemble information is required for the representation of individual extreme events. Evaluation of the near-surface wind speed using satellite-based data is performed for an area around the German Exclusive Economic Zone (EEZ) of the North Sea. The median bias of ERA5 and COSMO-REA6 is close to zero. CERRA shows a systematic overestimation of the near-surface wind speed compared to the satellite-based reference datasets. By contrast, a slight underestimation is analysed for HoKliSim-De. The bias distribution analysed for a first simulation stream of COSMO-R6G2 is similar to COSMO-REA6 which provides initial indication for the applicability of the new product. Published by Copernicus Publications.