Articles | Volume 15, issue 7
Atmos. Chem. Phys., 15, 3785–3801, 2015
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.
Atmos. Chem. Phys., 15, 3785–3801, 2015
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 et al.
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Cited
17 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
- 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
- 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
17 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
- 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
- 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: 17 Jan 2022
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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