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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 16, issue 8
Atmos. Chem. Phys., 16, 5229–5241, 2016
https://doi.org/10.5194/acp-16-5229-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 5229–5241, 2016
https://doi.org/10.5194/acp-16-5229-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Natalie Wagenbrenner on behalf of the Authors (26 Mar 2016)  Author's response    Manuscript
ED: Reconsider after major revisions (10 Apr 2016) by Timothy Garrett
AR by Natalie Wagenbrenner on behalf of the Authors (10 Apr 2016)  Author's response    Manuscript
ED: Publish as is (14 Apr 2016) by Timothy Garrett
AR by Natalie Wagenbrenner on behalf of the Authors (16 Apr 2016)  Author's response    Manuscript
Publications Copernicus
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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.
We investigated the ability of WindNinja to improve wind predictions in complex terrain....
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