Articles | Volume 15, issue 7
https://doi.org/10.5194/acp-15-3785-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-3785-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Apr 2015
Research article |
| 08 Apr 2015
High-resolution observations of the near-surface wind field over an isolated mountain and in a steep river canyon
B. W. Butler
CORRESPONDING AUTHOR
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
N. S. Wagenbrenner
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
Washington State University, Laboratory for Atmospheric Research Pullman, WA 99164-2910, USA
J. M. Forthofer
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
B. K. Lamb
Washington State University, Laboratory for Atmospheric Research Pullman, WA 99164-2910, USA
K. S. Shannon
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
D. Finn
NOAA Air Resources Laboratory, Field Research Division 1750 Foote Dr. Idaho Falls, ID 83402, USA
R. M. Eckman
NOAA Air Resources Laboratory, Field Research Division 1750 Foote Dr. Idaho Falls, ID 83402, USA
K. Clawson
NOAA Air Resources Laboratory, Field Research Division 1750 Foote Dr. Idaho Falls, ID 83402, USA
L. Bradshaw
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
P. Sopko
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
S. Beard
NOAA Air Resources Laboratory, Field Research Division 1750 Foote Dr. Idaho Falls, ID 83402, USA
D. Jimenez
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
C. Wold
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
M. Vosburgh
US Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, 5775 Hwy 10 Missoula, MT 59808, USA
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Cited
19 citations as recorded by crossref.
- Downscaling surface wind predictions from numerical weather prediction models in complex terrain with WindNinja N. Wagenbrenner et al. 10.5194/acp-16-5229-2016
- Assessing decoupling of above and below canopy air masses at a Norway spruce stand in complex terrain G. Jocher et al. 10.1016/j.agrformet.2020.108149
- Development and Evaluation of a Reynolds-Averaged Navier–Stokes Solver in WindNinja for Operational Wildland Fire Applications . Wagenbrenner et al. 10.3390/atmos10110672
- BTEX exposures in an area impacted by industrial and mobile sources: Source attribution and impact of averaging time A. Presto et al. 10.1080/10962247.2016.1139517
- Environmental monitoring network along a mountain valley using embedded controllers V. Villagrán et al. 10.1016/j.measurement.2017.02.046
- Effects of Density Current, Diurnal Heating, and Local Terrain on the Mesoscale Environment Conducive to the Yarnell Hill Fire J. Ising et al. 10.3390/atmos13020215
- Observations and Predictability of Gap Winds in the Salmon River Canyon of Central Idaho, USA N. Wagenbrenner et al. 10.3390/atmos9020045
- Impact of Canopy Decoupling and Subcanopy Advection on the Annual Carbon Balance of a Boreal Scots Pine Forest as Derived From Eddy Covariance G. Jocher et al. 10.1002/2017JG003988
- Apparent winter CO2 uptake by a boreal forest due to decoupling G. Jocher et al. 10.1016/j.agrformet.2016.08.002
- Some Requirements for Simulating Wildland Fire Behavior Using Insight from Coupled Weather—Wildland Fire Models J. Coen 10.3390/fire1010006
- Interpolation framework to speed up near-surface wind simulations for data-driven wildfire applications O. Rios et al. 10.1071/WF17027
- Windproof performance of wind barrier on the aerodynamic characteristics of high-speed train running on a simple supported bridge M. Wang et al. 10.1016/j.jweia.2022.104950
- An Evaluation of NDFD Weather Forecasts for Wildland Fire Behavior Prediction W. Page et al. 10.1175/WAF-D-17-0121.1
- Rapid wind–terrain correction for wildfire simulations J. Hilton & N. Garg 10.1071/WF20062
- Evaluation of HRCLDAS and ERA5 Datasets for Near-Surface Wind over Hainan Island and South China Sea Y. Jiang et al. 10.3390/atmos12060766
- Evidence for Gap Flows in the Birch Creek Valley, Idaho D. Finn et al. 10.1175/JAS-D-16-0052.1
- Modeling Wind Direction Distributions Using a Diagnostic Model in the Context of Probabilistic Fire Spread Prediction R. Quill et al. 10.3389/fmech.2019.00005
- Characterizing wind gusts in complex terrain F. Letson et al. 10.5194/acp-19-3797-2019
- An Overview of the Integrated Meteorological Observations in Complex Terrain Region at Dali National Climate Observatory, China A. Xu & J. Li 10.3390/atmos11030279
19 citations as recorded by crossref.
- Downscaling surface wind predictions from numerical weather prediction models in complex terrain with WindNinja N. Wagenbrenner et al. 10.5194/acp-16-5229-2016
- Assessing decoupling of above and below canopy air masses at a Norway spruce stand in complex terrain G. Jocher et al. 10.1016/j.agrformet.2020.108149
- Development and Evaluation of a Reynolds-Averaged Navier–Stokes Solver in WindNinja for Operational Wildland Fire Applications . Wagenbrenner et al. 10.3390/atmos10110672
- BTEX exposures in an area impacted by industrial and mobile sources: Source attribution and impact of averaging time A. Presto et al. 10.1080/10962247.2016.1139517
- Environmental monitoring network along a mountain valley using embedded controllers V. Villagrán et al. 10.1016/j.measurement.2017.02.046
- Effects of Density Current, Diurnal Heating, and Local Terrain on the Mesoscale Environment Conducive to the Yarnell Hill Fire J. Ising et al. 10.3390/atmos13020215
- Observations and Predictability of Gap Winds in the Salmon River Canyon of Central Idaho, USA N. Wagenbrenner et al. 10.3390/atmos9020045
- Impact of Canopy Decoupling and Subcanopy Advection on the Annual Carbon Balance of a Boreal Scots Pine Forest as Derived From Eddy Covariance G. Jocher et al. 10.1002/2017JG003988
- Apparent winter CO2 uptake by a boreal forest due to decoupling G. Jocher et al. 10.1016/j.agrformet.2016.08.002
- Some Requirements for Simulating Wildland Fire Behavior Using Insight from Coupled Weather—Wildland Fire Models J. Coen 10.3390/fire1010006
- Interpolation framework to speed up near-surface wind simulations for data-driven wildfire applications O. Rios et al. 10.1071/WF17027
- Windproof performance of wind barrier on the aerodynamic characteristics of high-speed train running on a simple supported bridge M. Wang et al. 10.1016/j.jweia.2022.104950
- An Evaluation of NDFD Weather Forecasts for Wildland Fire Behavior Prediction W. Page et al. 10.1175/WAF-D-17-0121.1
- Rapid wind–terrain correction for wildfire simulations J. Hilton & N. Garg 10.1071/WF20062
- Evaluation of HRCLDAS and ERA5 Datasets for Near-Surface Wind over Hainan Island and South China Sea Y. Jiang et al. 10.3390/atmos12060766
- Evidence for Gap Flows in the Birch Creek Valley, Idaho D. Finn et al. 10.1175/JAS-D-16-0052.1
- Modeling Wind Direction Distributions Using a Diagnostic Model in the Context of Probabilistic Fire Spread Prediction R. Quill et al. 10.3389/fmech.2019.00005
- Characterizing wind gusts in complex terrain F. Letson et al. 10.5194/acp-19-3797-2019
- An Overview of the Integrated Meteorological Observations in Complex Terrain Region at Dali National Climate Observatory, China A. Xu & J. Li 10.3390/atmos11030279
Saved (final revised paper)
Latest update: 30 May 2023
Short summary
Interest in numerical wind models continues to increase, especially for models that can simulate winds at relatively high spatial resolution (~100m). However, limited observational data exist for evaluation of model predictive performance. This study presents high-resolution surface wind data sets collected from an isolated mountain and a steep river canyon. The data are available to the public at http://www.firemodels.org/index.php/windninja-introduction/windninja-publications.
Interest in numerical wind models continues to increase, especially for models that can simulate...
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