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Full text: Intercomparing the quality of recent reanalysesfor offshore wind farm planning in Germany’sexclusive economic zone of the North Sea

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T. Spangehl et al.: Intercomparing the quality of recent reanalyses for offshore wind farm planning 
P., Tölle, M. H., Truhetz, H., Vergara-Temprado, J., de Vries, 
H., Warrach-Sagi, K., Wulfmeyer, V., and Zander, M. J.: The 
first multi-model ensemble of regional climate simulations at 
kilometer-scale resolution, part I: evaluation of precipitation, 
Clim. Dynam., 57, 275-302, https://doi.org/10.1007/s00382- 
021-05708-w, 2021. 
Berg, P., Wagner, S., Kunstmann, H., and Schädler, G.: 
High resolution regional climate model simulations for Ger- 
many: part I — validation, Clim. Dynam., 40, 401—414, 
https://doi.org/10.1007/s00382-012-1508-8, 2013. 
BNetzA: Monitoringbericht 2022 von _Bundesnetzagentur 
und —DBundeskartellamt, https://data.bundesnetzagentur.de/ 
Bundesnetzagentur/SharedDocs/Mediathek/Monitoringberichte/ 
monitoringberichtenergie2022.pdf (last access: 6 Novem- 
ber 2023), 2023. 
Bollmeyer, C., Keller, J. D., Ohlwein, C., Wahl, S., Crewell, 5., 
Friederichs, P., Hense, A., Keune, J., Kneifel, S. ., Pscheidt, I., 
Redl, S., and Steinke, S.: Towards a high-resolution regional re- 
analysis for the European CORDEX domain, Q. J. Roy. Meteo- 
rol. Soc., 141, 1-15, https://doi.0rg/10.1002/qj.2486, 2015. 
Borgers, R., Dirksen, M., Wijnant, I. L., Stepek, A., Stoffe- 
len, A., Akhtar, N., Neirynck, J., Van de Walle, J., Mey- 
ers, J., and van Lipzig, N. P. M.: Mesoscale modelling of 
North Sea wind resources with COSMO-CLM: model evalua- 
jon and impact assessment of future wind farm characteristics on 
cluster-scale wake losses, Wind Energ. Sci. Discuss. [preprint], 
https://doi.org/10.5194/wes-2023-33, in review, 2023. 
Borsche, M., Kaiser-Weiss, A. K., and Kaspar, F.: Wind speed vari- 
ability between 10 and 116 m height from the regional reanaly- 
sis COSMO-REA6 compared to wind mast measurements over 
Northern Germany and the Netherlands, Adv. Sci. Res., 13, 151- 
161, https://doi.org/10.5194/asr-13-151-2016, 2016. 
Brienen, S., Früh, B., Walter, A., Trusilova, K., and Becker, 
P.: A Central European precipitation climatology Part II: 
Application of the high-resolution HYRAS data for 
COSMO-CLM evaluation, Meteorol. Z., 25, 195-214, 
https://doi.org/10.1127/metz/2016/0617, 2016. 
Brienen, S., Haller, M., Brauch, J., and Früh, B.: 
HoKliSim-De COSMO-CLM climate model sim- 
ulation data version V2022.01, DWD [data set], 
https://doi.0rg/10.5676/DWD/HOKLISIM_V2022.01, 2022. 
Brousseau, P., Bouttier, F., Hello, G., Seity, Y., Berre, L., Mont- 
merle, T., Auger, L., and Malardel, S.: A prototype convective- 
scale data assimilation system for operation: the Arome-RUC, in: 
HIRLAM Tech. Rep., vol. 68, 23-30, CNRM -— Centre national 
de recherches meteorologiques, CNRM-GAME, Meteo-France 
and CNRS, Toulouse, France, http://www.umr-cnrm.fr/ (last ac- 
cess: 6 November 2023), 2008. 
Brune, S., Keller, J. D., and Wahl, S.: Evaluation of wind speed esti- 
mates in reanalyses for wind energy applications, Adv. Sci. Res., 
18, 115-126, https://doi.0org/10.5194/asr-18-115-2021, 2021. 
Bundesamt für Seeschifffahrt und Hydrographie: Nordsee- 
Handbuch, südöstlicher Teil: Lister Tief bis Ems, in: 7th Edn., 
Hamburg, Rostock, 399 pp., ISSN 2190-037X, 2023a. 
Bundesamt für Seeschifffahrt und Hydrographie: Forschungsplat- 
tformen in MNord- und Ostsee, FINO data, Bunde- 
samt für Seeschifffahrt und Hydrographie [data set], 
https://www.bsh.de/EN/TOPICS/Monitoring_systems/ 
MARNET_ monitoring_network/FINO/fino_node.html (last 
access: 6 November 2023), 2023b. 
CEDIM: Orkantief *“Christian”, West- und _Mitteleu- 
ropa, 27.-29.10.2013, CEDIM — Center for Disas- 
ter Management and Risk Reduction Technology. 
http://www.wettergefahren- fruehwarnung.de/Ereignis/ 
20131031_e.html(last access: 17 February 2023), 2013. 
de Kloe, J., Stoffelen, A., and Verhoef, A.: Improved Use of Scat- 
terometer Measurements by Using Stress-Equivalent Reference 
Winds, IEEE J. Select. Top. Appl. Earth Obs. Remote Sens., 
10, 2340-2347, https://doi.org/10.1109/JS TARS.2017.2685242. 
2017. 
Deutscher Wetterdienst: Orkantief CHRISTIAN am 
28. Oktober 2013,  https://www.dwd.de/DE/leistungen/ 
besondereereignisse/stuerme/20131028_orkantief_christian.pdf 
(last access: 17 February 2023), 2013. 
Deutscher Wetterdienst: COSMO-REA6 at DWD open data 
server, Deutscher Wetterdienst [data set], https://opendata. 
dwd.de/climate_environment/REA/COSMO_REA6/ (last ac- 
cess: 6 November 2023), 2023. 
Doms, G., Förstner, J., Heise, E., Herzog, H.-J., Mironov, D., 
Raschendorfer, M., Reinhardt, T., Ritter, B., Schrodin, R., 
Schulz, J.-P., and Vogel, G.: A Description of the Nonhydro- 
static Regional COSMO-Model, Part II Physical Parameter- 
izations, DWD, https://doi.org/10.5676/DWD _pub/nwv/cosmo- 
doc_5.00_IT1, 2013. 
Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., 
and Wimmer, W.: The Operational Sea Surface Temperature and 
Sea Ice Analysis (OSTIA) system, Remote Sens. Environ., 116. 
140-158, https://doi.org/10.1016/j.rse.2010.10.017, 2012. 
Dörenkämper, M., Olsen, B. T., Witha, B., Hahmann, A. N., Davis, 
N. N., Barcons, J., Ezber, Y., Garcia Bustamante, E., Gonzälez- 
Rouco, J. F., Navarro, J., Sastre-Marugän, M., Siıle, T., Trei, 
W., Zagar, M., Badger, J., Gottschall, J., Sanz Rodrigo, J., and 
Mann, J.: The Making of the New European Wind Atlas — Part 2: 
Production and evaluation, Geosci. Model Dev., 13, 5079-5102. 
https://doi.org/10.5194/gmd-13-5079-2020, 2020. 
E1-Said, A., Brousseau, P., Ridal, M., and Randriamampianina, 
R.: Towards Full Flow-Dependence: New Temporally Varying 
EDA Quotient Functionality to Estimate Background Errors 
;n CERRA, J. Adv. Model. Earth Syst., 14, e2021MS002637. 
https://doi.org/10.1029/2021MS002637, 2022. 
EU Copernicus Marine Service: 
WIND_GLO_PHY_L4_MY_012_006, EU Copernicus Marine 
Service [data set], https://doi.0rg/10.48670/moi-00185, 2023. 
EUMETSAT: CM SAF — Product navigator, https://wui.cmsaf.eu 
(last access: 6 November 2023), 2023. 
Geyer, B., Weisse, R., Bisling, P., and Winterfeldt, J.: Climatol- 
ogy of North Sea wind energy derived from a model hindcast 
for 1958-2012, J. Wind Eng. Indust. Aerodynam., 147, 18-29, 
https://doi.org/10.1016/j.) weia.2015.09.005, 2015. 
Gliksman, D., Averbeck, P., Becker, N., Gardiner, B., Goldberg, V.. 
Grieger, J., Handorf, D., Haustein, K., Karwat, A., Knutzen, F., 
Lentink, H. S., Lorenz, R., Niermann, D., Pinto, J. G., Queck. 
R., Ziemann, A., and Franzke, C. L. E.: Review article: A 
European perspective on wind and storm damage — from the 
meteorological background to index-based approaches to as- 
sess impacts, Nat. Hazards Earth Syst. Sci., 23, 2171-2201, 
https://doi.org/10.5194/nhess-23-2171-2023. 2023. 
Adv. Sci. Res., 20, 109-128, 2023 
https://doi.org/10.5194/asr-20-109-2023
	        
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