Articles | Volume 16, issue 8
https://doi.org/10.5194/acp-16-5229-2016
https://doi.org/10.5194/acp-16-5229-2016
Research article
 | 
27 Apr 2016
Research article |  | 27 Apr 2016

Downscaling surface wind predictions from numerical weather prediction models in complex terrain with WindNinja

Natalie S. Wagenbrenner, Jason M. Forthofer, Brian K. Lamb, Kyle S. Shannon, and Bret W. Butler

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Short summary
We investigated the ability of WindNinja to improve wind predictions in complex terrain. Predictions are compared with surface observations from a tall, isolated mountain. Results show that WindNinja is capable of capturing important local-scale flow features induced by mechanical and thermal effects of the underlying terrain and incorporating those terrain-driven flow features into coarse-scale weather forecasts in order to improve near-surface wind predictions in complex terrain.
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