Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.414 IF 5.414
  • IF 5-year value: 5.958 IF 5-year
    5.958
  • CiteScore value: 9.7 CiteScore
    9.7
  • SNIP value: 1.517 SNIP 1.517
  • IPP value: 5.61 IPP 5.61
  • SJR value: 2.601 SJR 2.601
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 191 Scimago H
    index 191
  • h5-index value: 89 h5-index 89
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.

Viewed

Total article views: 2,353 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
909 1,393 51 2,353 41 48
  • HTML: 909
  • PDF: 1,393
  • XML: 51
  • Total: 2,353
  • BibTeX: 41
  • EndNote: 48
Views and downloads (calculated since 18 Jan 2016)
Cumulative views and downloads (calculated since 18 Jan 2016)

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

Discussed (final revised paper)

Discussed (preprint)

Latest update: 09 Aug 2020
Publications Copernicus
Download
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....
Citation
Final-revised paper
Preprint