Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-5053-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5053-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The making of the New European Wind Atlas – Part 1: Model sensitivity
Wind Energy Department, Technical University of Denmark, Roskilde, Denmark
Tija Sīle
Institute of Numerical Modelling, Department of Physics, University of Latvia, Riga, Latvia
Björn Witha
ForWind, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
energy & meteo systems GmbH, Oldenburg, Germany
Neil N. Davis
Wind Energy Department, Technical University of Denmark, Roskilde, Denmark
Martin Dörenkämper
Fraunhofer Institute for Wind Energy Systems, Oldenburg, Germany
Yasemin Ezber
Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Turkey
Elena García-Bustamante
Wind Energy Unit, CIEMAT, Madrid, Spain
J. Fidel González-Rouco
Department of Earth Physics and Astrophysics, University Complutense of Madrid, Madrid, Spain
Institute of Geosciences, IGEO (UCM-CSIC), Madrid, Spain
Jorge Navarro
Wind Energy Unit, CIEMAT, Madrid, Spain
Bjarke T. Olsen
Wind Energy Department, Technical University of Denmark, Roskilde, Denmark
Stefan Söderberg
WeatherTech, Uppsala, Sweden
Renewable Energy Analytics, DNV-GL Energy, Solna, Sweden
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Latest update: 20 Nov 2024
Short summary
Wind energy resource assessment routinely uses numerical weather prediction model output. We describe the evaluation procedures used for picking the suitable blend of model setup and parameterizations for simulating European wind climatology with the WRF model. We assess the simulated winds against tall mast measurements using a suite of metrics, including the Earth Mover's Distance, which diagnoses the performance of each ensemble member using the full wind speed and direction distribution.
Wind energy resource assessment routinely uses numerical weather prediction model output. We...