Articles | Volume 16, issue 8
Atmos. Chem. Phys., 16, 5229–5241, 2016
Atmos. Chem. Phys., 16, 5229–5241, 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 et al.

Related authors

High-resolution observations of the near-surface wind field over an isolated mountain and in a steep river canyon
B. W. Butler, N. S. Wagenbrenner, J. M. Forthofer, B. K. Lamb, K. S. Shannon, D. Finn, R. M. Eckman, K. Clawson, L. Bradshaw, P. Sopko, S. Beard, D. Jimenez, C. Wold, and M. Vosburgh
Atmos. Chem. Phys., 15, 3785–3801,,, 2015
Short summary

Related subject area

Subject: Dynamics | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Anthropogenic aerosol effects on tropospheric circulation and sea surface temperature (1980–2020): separating the role of zonally asymmetric forcings
Chenrui Diao, Yangyang Xu, and Shang-Ping Xie
Atmos. Chem. Phys., 21, 18499–18518,,, 2021
Short summary
Lightning-ignited wildfires and long continuing current lightning in the Mediterranean Basin: preferential meteorological conditions
Francisco J. Pérez-Invernón, Heidi Huntrieser, Sergio Soler, Francisco J. Gordillo-Vázquez, Nicolau Pineda, Javier Navarro-González, Víctor Reglero, Joan Montanyà, Oscar van der Velde, and Nikos Koutsias
Atmos. Chem. Phys., 21, 17529–17557,,, 2021
Short summary
Identifying source regions of air masses sampled at the tropical high-altitude site of Chacaltaya using WRF-FLEXPART and cluster analysis
Diego Aliaga, Victoria A. Sinclair, Marcos Andrade, Paulo Artaxo, Samara Carbone, Evgeny Kadantsev, Paolo Laj, Alfred Wiedensohler, Radovan Krejci, and Federico Bianchi
Atmos. Chem. Phys., 21, 16453–16477,,, 2021
Short summary
Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale
Michael Biggart, Jenny Stocker, Ruth M. Doherty, Oliver Wild, David Carruthers, Sue Grimmond, Yiqun Han, Pingqing Fu, and Simone Kotthaus
Atmos. Chem. Phys., 21, 13687–13711,,, 2021
Short summary
Dispersion of particulate matter (PM2.5) from wood combustion for residential heating: optimization of mitigation actions based on large-eddy simulations
Tobias Wolf, Lasse H. Pettersson, and Igor Esau
Atmos. Chem. Phys., 21, 12463–12477,,, 2021
Short summary

Cited articles

Beaucage, P., Brower, M. C., and Tensen, J.: Evaluation of four numerical wind flow models for wind resource mapping, Wind Energy, 17, 197–208, 2014.
Berg, J., Mann, J., Bechmann, A., Courtney, M. S., and Jorgensen, H. E.: The Bolund experiment, Part I: flow over a steep, three-dimensional hill, Bound.-Lay. Meteorol., 141, 219–243, 2011.
Butler, B. W., Wagenbrenner, N. S., Forthofer, J. M., Lamb, B. K., Shannon, K. S., Finn, D., Eckman, R. M., Clawson, K., Bradshaw, L., Sopko, P., Beard, S., Jimenez, D., Wold, C., and Vosburgh, M.: High-resolution observations of the near-surface wind field over an isolated mountain and in a steep river canyon, Atmos. Chem. Phys., 15, 3785–3801,, 2015.
Chen, F., Mitchell, K., Schaake, J., Xue, Y., Pan, H., Koren, V., Duan, Y., Ek, M., and Betts, A.: Modeling of land-surface evaporation by four schemes and comparison with FIFE observations, J. Geophys. Res., 101, 7251–7268, 1996.
Ching, J., Rotunno, R., LeMone, M., Martilli, A., Kosovic, B., Jimenez, P. A., and Dudhia, J.: Convectively induced secondary circulations in fine-grid mesoscale numerical weather prediction models, Mon. Weather Rev., 142, 3284–3302, 2014.
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.
Final-revised paper