Modelling wind farm effects in HARMONIE-AROME (cycle 43.2.2) – Part 2: wind turbine database and application to Europe

Fischereit, Jana; Olsen, Bjarke T. E.; Imberger, Marc; Vedel, Henrik; H. Møller, Kristian; Hahmann, Andrea N.; Larsén, Xiaoli Guo

doi:10.5194/gmd-19-8115-2026

Articles | Volume 19, issue 17

https://doi.org/10.5194/gmd-19-8115-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-8115-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 17

Model evaluation paper

|

02 Sep 2026

Model evaluation paper |

| 02 Sep 2026

Modelling wind farm effects in HARMONIE-AROME (cycle 43.2.2) – Part 2: wind turbine database and application to Europe

Jana Fischereit, Bjarke T. E. Olsen, Marc Imberger, Henrik Vedel, Kristian H. Møller, Andrea N. Hahmann, and Xiaoli Guo Larsén

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Mar 2026	433	616	71	1,120
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Cumulative views and downloads (calculated since 19 Dec 2025)

Month	HTML	PDF	XML	Total
Dec 2025	560	440	43	1,043
Jan 2026	431	803	15	1,249
Feb 2026	360	234	24	618
Mar 2026	433	616	71	1,120
Apr 2026	99	120	5	224
May 2026	67	77	4	148
Jun 2026	24	10	1	35
Jul 2026	23	25	1	49
Aug 2026	46	8	1	55
Sep 2026	695	171	61	927
Oct 2026	259	83	43	385
Nov 2026	51	10	11	72

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Short summary

We evaluated how operating wind farms influence the atmosphere in numerical weather prediction using two wind farm parameterizations in the HARMONIE-AROME model, applied by over 10 European weather services. Accurate yield forecasts require including both onshore and offshore turbines. Wind turbines slightly alter near-surface temperature (<1 K on average). We also present an open-access European wind turbine dataset combining multiple data sources.