Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe

Luzia, Graziela; Hahmann, Andrea N.; Koivisto, Matti Juhani

doi:https://doi.org/10.5194/wes-7-2255-2022

Articles | Volume 7, issue 6

https://doi.org/10.5194/wes-7-2255-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-7-2255-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 6

Research article

|

22 Nov 2022

Research article |

| 22 Nov 2022

Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe

Graziela Luzia, Andrea N. Hahmann, and Matti Juhani Koivisto

Data sets

ERA5 hourly data on single levels from 1959 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

Model code and software

Supplementary files for "Evaluating the spatio-temporal variability in simulated wind speed time series over Northern Europe" G. Luzia https://doi.org/10.11583/DTU.19375490.v1

A Description of the Advanced Research WRF Version 3 W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, M. G. Duda, X. Y. Huang, W. Wang, and J. G. Powers https://doi.org/10.5065/D68S4MVH

Description of the Advanced Research WRF Version 4 W. C. Skamarock, J. B. Klemp, J.Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang https://doi.org/10.5065/1dfh-6p97

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

Short summary

This paper presents a comprehensive validation of time series produced by a mesoscale numerical weather model, a global reanalysis, and a wind atlas against observations by using a set of metrics that we present as requirements for wind energy integration studies. We perform a sensitivity analysis on the numerical weather model in multiple configurations, such as related to model grid spacing and nesting arrangements, to define the model setup that outperforms in various time series aspects.