Articles | Volume 7, issue 11
Research article
08 Nov 2014
Research article |  | 08 Nov 2014

Mixing-layer height retrieval with ceilometer and Doppler lidar: from case studies to long-term assessment

J. H. Schween, A. Hirsikko, U. Löhnert, and S. Crewell

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Cited articles

American Meteorological Society: Glossary of Meteorology, American Meteorological Society,, last access: 25 April 2014, 2013.
Augstein, E., Schmidt, H., and Wagner, V.: The vertical structure of the atmospheric planetary boundary layer in undisturbed Trade winds over the Atlantic Ocean, Bound-Lay. Meteorol., 6, 129–150,, 1974.
Baars, H., Ansmann, A., Engelmann, R., and Althausen, D.: Continuous monitoring of the boundary-layer top with lidar, Atmos. Chem. Phys., 8, 7281–7296,, 2008.
Banta, R. M., Pichugina, Yelena, L., and Brewerm, W. A.: Turbulent Velocity-Variance Profiles in the Stable Boundary Layer Generated by a Nocturnal Low-Level Jet, J. Atmos. Sci., 63, 2700–2719,, 2006.
Barlow, J., F., Dunbar, T. M., Nemitz, E. G., Wood, C. R., Gallagher, M., Davies, F., O'Connor, E., and Harrison, R. M.: Boundary layer dynamics over London, UK, as observed using Doppler lidar during REPARTEE-II, Atmos. Chem. Phys., 11, 2111–2125,, 2011.
Short summary
Two different methods for the determination of the mixing layer height (MLH) are investigated with a one-year data set from central Europe: (i) based on a significant gradient of backscatter and (ii) on the vertical velocity. The aerosol-based method shows significant over-estimation in the morning hours when the ML grows into the residual layer and late afternoon hours when turbulent mixing decays. This results in systematic over-estimation of average characteristcs as e.g. maximum MLH.