Evaluation of ERA5, MERRA-2, COSMO-REA6, NEWA and AROME to simulate wind power production over France

Jourdier, Bénédicte

doi:https://doi.org/10.5194/asr-17-63-2020

Articles | Volume 17

https://doi.org/10.5194/asr-17-63-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/asr-17-63-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17

16 Jun 2020

| 16 Jun 2020

Evaluation of ERA5, MERRA-2, COSMO-REA6, NEWA and AROME to simulate wind power production over France

Bénédicte Jourdier

Supplement

https://doi.org/10.5194/asr-17-63-2020-supplement

Data sets

Données en puissances – Annuel définitif RTE https://www.rte-france.com/fr/eco2mix/eco2mix-telechargement

Production électrique annuelle par filière à la maille commune Enedis https://data.enedis.fr/explore/dataset/production-electrique-par-filiere-a-la-maille-commune/information/

ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate C3S – Copernicus Climate Change Service https://doi.org/10.24381/cds.adbb2d47

MERRA-2 inst1_2d_int_Nx: 2d,1-Hourly, Instantaneous, Single-Level, Assimilation, Vertically Integrated Diagnostics V5.12.4 GMAO – Global Modeling and Assimilation Office https://doi.org/10.5067/G0U6NGQ3BLE0

COSMO-REA6 HErZ – Hans-Ertel Centre for Weather Research (University of Bonn, Germany) and DWD – and Deutscher Wetterdienst http://reanalysis.meteo.uni-bonn.de/?COSMO-REA6

Données de modèle atmosphérique à aire limitée à haute résolution Météo-France https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=131&id_rubrique=51

Short summary

Wind speeds at turbine hub heights are scarcely measured and often replaced by numerical datasets when simulating wind power time series for various impact studies. Can we trust these modelled wind speeds? This work investigates five wind-speed datasets, comparing them to actual wind-speed and wind-power observations in France. They show various skills in terms of bias and hourly variability, leading to more or less realistic wind-power simulations at the local scale.