Articles | Volume 16, issue 14
https://doi.org/10.5194/acp-16-8983-2016
https://doi.org/10.5194/acp-16-8983-2016
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, Eric Bazile, Guylaine Canut, Yann Seity, Marie Lothon, Fabienne Lohou, Françoise Guichard, and Erik Nilsson

Data sets

The BLLAST Database BLLAST http://bllast.sedoo.fr/database/

Download
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.
Altmetrics
Final-revised paper
Preprint