Articles | Volume 16, issue 14
https://doi.org/10.5194/acp-16-8983-2016
© Author(s) 2016. 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-16-8983-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Jul 2016
Research article |
| 21 Jul 2016
Boundary-layer turbulent processes and mesoscale variability represented by numerical weather prediction models during the BLLAST campaign
Fleur Couvreux
CORRESPONDING AUTHOR
CNRM (Météo-France and CNRS), 31057, Toulouse, France
Eric Bazile
CNRM (Météo-France and CNRS), 31057, Toulouse, France
Guylaine Canut
CNRM (Météo-France and CNRS), 31057, Toulouse, France
Yann Seity
CNRM (Météo-France and CNRS), 31057, Toulouse, France
Marie Lothon
Laboratoire d'Aérologie, University of Toulouse, CNRS, Toulouse,
France
Fabienne Lohou
Laboratoire d'Aérologie, University of Toulouse, CNRS, Toulouse,
France
Françoise Guichard
CNRM (Météo-France and CNRS), 31057, Toulouse, France
Erik Nilsson
Uppsala University, Uppsala, Sweden
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- Current Challenges in Understanding and Predicting Transport and Exchange in the Atmosphere over Mountainous Terrain M. Lehner & M. Rotach 10.3390/atmos9070276
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21 citations as recorded by crossref.
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- Considerations for Atmospheric Measurements with Small Unmanned Aircraft Systems J. Jacob et al. 10.3390/atmos9070252
- Sensitivity of convective precipitation to model grid spacing and land‐surface resolution in ICON S. Singh et al. 10.1002/qj.4046
- The impact of mesh size, turbulence parameterization, and land‐surface‐exchange scheme on simulations of the mountain boundary layer in the hectometric range B. Goger & A. Dipankar 10.1002/qj.4799
- The Impact of Three-Dimensional Effects on the Simulation of Turbulence Kinetic Energy in a Major Alpine Valley B. Goger et al. 10.1007/s10546-018-0341-y
- The Pyrenean Platform for Observation of the Atmosphere: site, long-term dataset, and science M. Lothon et al. 10.5194/amt-17-6265-2024
- Toward instrument combination for boundary layer classification T. Rieutord et al. 10.1002/asl.1144
- Improving the Stable Surface Layer in the NCEP Global Forecast System W. Zheng et al. 10.1175/MWR-D-16-0438.1
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- CALOTRITON: a convective boundary layer height estimation algorithm from ultra-high-frequency (UHF) wind profiler data A. Philibert et al. 10.5194/amt-17-1679-2024
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- WRF-LES Simulation of the Boundary Layer Turbulent Processes during the BLLAST Campaign M. Udina et al. 10.3390/atmos11111149
- Current Challenges in Understanding and Predicting Transport and Exchange in the Atmosphere over Mountainous Terrain M. Lehner & M. Rotach 10.3390/atmos9070276
- Turbulence fluxes and variances measured with a sonic anemometer mounted on a tethered balloon G. Canut et al. 10.5194/amt-9-4375-2016
- A New Horizontal Length Scale for a Three-Dimensional Turbulence Parameterization in Mesoscale Atmospheric Modeling over Highly Complex Terrain B. Goger et al. 10.1175/JAMC-D-18-0328.1
- Surface representation impacts on turbulent heat fluxes in the Weather Research and Forecasting (WRF) model (v.4.1.3) C. Román-Cascón et al. 10.5194/gmd-14-3939-2021
- Transition Periods in the Diurnally-Varying Atmospheric Boundary Layer Over Land W. Angevine et al. 10.1007/s10546-020-00515-y
- The Use of High-Resolution Sounding Data to Evaluate and Optimize Nonlocal PBL Schemes for Simulating the Slightly Stable Upper Convective Boundary Layer X. Hu et al. 10.1175/MWR-D-19-0085.1
- A simplified $$k-\epsilon$$ turbulence model D. Savicki et al. 10.1007/s40430-021-03084-4
- Scaling the Decay of Turbulence Kinetic Energy in the Free-Convective Boundary Layer O. El Guernaoui et al. 10.1007/s10546-019-00458-z
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Latest update: 21 Nov 2024
Short summary
This study evaluates the ability of operational models to predict the boundary-layer turbulent processes and mesoscale variability observed during the Boundary Layer Late-Afternoon and Sunset Turbulence field campaign. The models succeed in reproducing the variability from one day to another in terms of cloud cover, temperature and boundary-layer depth. However, they exhibit some systematic biases. The high-resolution model reproduces the vertical structures better.
This study evaluates the ability of operational models to predict the boundary-layer turbulent...
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