Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-5053-2020
https://doi.org/10.5194/gmd-13-5053-2020
Methods for assessment of models
 | Highlight paper
 | 
27 Oct 2020
Methods for assessment of models | Highlight paper |  | 27 Oct 2020

The making of the New European Wind Atlas – Part 1: Model sensitivity

Andrea N. Hahmann, Tija Sīle, Björn Witha, Neil N. Davis, Martin Dörenkämper, Yasemin Ezber, Elena García-Bustamante, J. Fidel González-Rouco, Jorge Navarro, Bjarke T. Olsen, and Stefan Söderberg

Data sets

Summary wind statistics from NEWA WRF mesoscale ensemble A. N. Hahmann https://doi.org/10.5281/zenodo.4002351

Model code and software

WRF configuration files for NEWA mesoscale ensemble and production simulations A. N. Hahmann, N. N. Davis, M. Dörenkämper, T. Sīle, B. Witha, and W. Trey https://doi.org/10.5281/zenodo.3709088

PyEMD: Fast EMD for Python W. Mayner https://pypi.org/project/pyemd/

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.