T. Spangehl et al.: Intercomparing the quality of recent reanalyses for offshore wind farm planning 125 Data availability. FINO data was downloaded from http://fino.bsh.de (last access: 6 November 2023). Data was made available by the FINO (Forschungsplattformen in Nord- und Ostsee) initiative, which was funded by the German Federal Ministry of Economic Affairs and Climate Action (BMWK) on the basis of a decision by the German Bundestag, organised by the Projekttraeger Juelich (PTJ) and coordinated by the German Federal Maritime and Hydrographic Agency (BSH). FINO data is now available via the new Insitu-Portal of BSH https://www.bsh.de/EN/TOPICS/Monitoring_systems/MARNET_ monitoring_network/FINO/fino_node.html (Bundesamt für Seeschifffahrt und Hydrographie, 2023b). NEWA data is obtained from the New European Wind Atlas, a free, web-based application developed, owned and operated by the NEWA Consortium. For additional information see https://www. neweuropeanwindatlas.eu/ (NEWA Consortium, 2023). This study has been conducted using EU Copernicus Marine Service Information. The WIND_GLO_PHY_L4_MY_012_006, https://doi.org/10.48670/moi-00185 (EU Copernicus Marine Ser- vice, 2023), product is used in the final version of the manuscript. The ERA5 reanalysis data are publicly and freely available from the producers at the Copernicus Climate Data Store (CDS; Hers- bach et al., 2023, https://doi.org/10.24381/cds.adbb2d47), or via ECMWF’s Meteorological Archival and Retrieval System (MARS). The COSMO-REA6 reanalysis data are publicly available at DWD’s Open Data Server (https://opendata.dwd.de/climate_ environment/REA/COSMO_REA6/, Deutscher Wetterdienst, 2023). The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS – 4.0 (Andersson et al., 2017, https://doi.org/10.5676/EUM_SAF_CM/HOAPS/V002) are avail- able from EUMETSAT Satellite Application Facility on Climate Monitoring (CM SAF) via https://wui.cmsaf.eu, © (2023) (EU- METSAT, 2023). Selected parameters of HoKliSim-De are available via https://doi.org/10.5676/DWD/HOKLISIM_V2022.01 (Brienen et al., 2022). Date from the Copernicus European Regional Re- Analysis (CERRA) are publicly and freely available from the producers at the Copernicus Climate Date Store (CDS; https://doi.org/10.24381/cds.38b394e6, Schimanke et al., 2021a, https://doi.org/10.24381/cds.622a565a, Schimanke et al., 2021b). Author contributions. All authors contributed to the results and evaluation presented here. TS wrote the first draft of the manuscript. SSc contributed to integrating CERRA. SB contributed to integrat- ing HoKliSim-De. Competing interests. The contact author has declared that none of the authors has any competing interests. Disclaimer. Publisher’s note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, pub- lished maps, institutional affiliations, or any other geographical rep- resentation in this paper. While Copernicus Publications makes ev- ery effort to include appropriate place names, the final responsibility lies with the authors. Special issue statement. This article is part of the special issue “EMS Annual Meeting: European Conference for Applied Mete- orology and Climatology 2022”. It is a result of the EMS Annual Meeting: European Conference 2022. The corresponding presenta- tion was part of session UP3.6: Global and regional reanalyses. Acknowledgements. The authors thank Anja Niedorf (DWD) and Marc Schröder (DWD) for the provision of data from EUMET- SAT CM SAF (HOAPS v4 and its extension). The authors thank Andrea Hahmann and one anonymous re- viewer for their helpful comments. Financial support. Part of this research has been supported by the BMBF programme ClimXtreme (grant no. 01LP1904A). Review statement. This paper was edited by Eric Bazile and re- viewed by Andrea Hahmann and one anonymous referee. References Akhtar, N., Geyer, B., Rockel, B., Sommer, P. S., and Schrum, C.: Accelerating deployment of offshore wind energy alter wind cli- mate and reduce future power generation potentials, Sci. Rep., 11, 11826, https://doi.org/10.1038/s41598-021-91283-3, 2021. Akhtar, N., Geyer, B., and Schrum, C.: Impacts of accelerating de- ployment of offshore windfarms on near-surface climate, Sci. Rep., 12, 18307, https://doi.org/10.1038/s41598-022-22868-9, 2022. Andersson, A., Fennig, K., Klepp, C., Bakan, S., Graßl, H., and Schulz, J.: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS-3, Earth Syst. Sci. Data, 2, 215–234, https://doi.org/10.5194/essd-2-215-2010, 2010. Andersson, A., Graw, K., Schröder, M., Fennig, K., Li- man, J., Bakan, S., Hollmann, R., and Klepp, C.: Ham- burg Ocean Atmosphere Parameters and Fluxes from Satellite Data – HOAPS 4.0, EUMETSAT [data set], https://doi.org/10.5676/EUM_SAF_CM/HOAPS/V002, 2017. Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendor- fer, M., and Reinhardt, T.: Operational Convective-Scale Nu- merical Weather Prediction with the COSMO Model: Descrip- tion and Sensitivities, Mon. Weather Rev., 139, 3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011. Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adi- nolfi, M., Ahrens, B., Alias, A., Anders, I., Bastin, S., Belšic´, D., Berthou, S., Brisson, E., Cardoso, R. M., Chan, S. C., Chris- tensen, O. B., Fernández, J., Fita, L., Frisius, T., Gšparac, G., Giorgi, F., Goergen, K., Haugen, J. E., Hodnebrog, ?., Kart- sios, S., Katragkou, E., Kendon, E. J., Keuler, K., Lavin-Gullon, A., Lenderink, G., Leutwyler, D., Lorenz, T., Maraun, D., Mer- cogliano, P., Milovac, J., Panitz, H.-J., Raffa, M., Remedio, A. R., Schär, C., Soares, P. M. M., Srnec, L., Steensen, B. M., Stocchi, https://doi.org/10.5194/asr-20-109-2023 Adv. Sci. Res., 20, 109–128, 2023