Articles | Volume 2, issue 1
Research article
04 May 2017
Research article |  | 04 May 2017

An intercomparison of mesoscale models at simple sites for wind energy applications

Bjarke T. Olsen, Andrea N. Hahmann, Anna Maria Sempreviva, Jake Badger, and Hans E. Jørgensen

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Cited articles

Arino, O., Bicheron, P., Achard, F., and Latham, J.: The most detailed portrait of Earth, ESA Bull-Eur. Space, available at: (last access: 28 April 2017), 2008.
Badger, J., Frank, H., Hahmann, A. N., and Giebel, G.: Wind-Climate Estimation Based on Mesoscale and Microscale Modeling: Statistical–Dynamical Downscaling for Wind Energy Applications, J. Appl. Meteorol. Clim., 53, 1901–1919,, 2014.
Bechmann, A., Sørensen, N. N., Berg, J., Mann, J., and Réthoré, P. E.: The Bolund Experiment, Part II: Blind Comparison of Microscale Flow Models, Bound-Lay. Meteorol., 141, 245–271,, 2011.
Bossard, M., Feranec, J., and Otahel, J.: CORINE Land Cover Technical Guide – Addendum, European Environment Agency, 1–105, available at: (last access: 28 April 2017), 2000.
Bowler, N. E., Pierce, C. E., and Seed, A. W.: STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP, Q. J. Roy. Meteor. Soc., 132, 2127–2155,, 2006.
Short summary
Understanding uncertainties in wind resource assessment associated with the use of the output from numerical weather prediction (NWP) models is important for wind energy applications. A better understanding of the sources of error reduces risk and lowers costs. Here, an intercomparison of the output from 25 NWP models is presented. The study shows that model errors are larger and agreement between models smaller at inland sites and near the surface.
Final-revised paper