Articles | Volume 8, issue 4
https://doi.org/10.5194/amt-8-1875-2015
https://doi.org/10.5194/amt-8-1875-2015
Research article
 | 
23 Apr 2015
Research article |  | 23 Apr 2015

Low-level mixing height detection in coastal locations with a scanning Doppler lidar

V. Vakkari, E. J. O'Connor, A. Nisantzi, R. E. Mamouri, and D. G. Hadjimitsis

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Cited articles

Baars, H., Ansmann, A., Engelmann, R., and Althausen, D.: Continuous monitoring of the boundary-layer top with lidar, Atmos. Chem. Phys., 8, 7281–7296, https://doi.org/10.5194/acp-8-7281-2008, 2008.
Baklanov, A. A., Grisogono, B., Bornstein, R., Mahrt, L., Zilitinkevich, S. S., Taylor, P., Larsen, S. E., Rotach, M. W., and Fernando, H. J. S.: The Nature, Theory, and Modeling of Atmospheric Planetary Boundary Layers, Bull. Amer. Meteor. Soc., 92, 123–128, 2011.
Banta, R. M., Pichugina, Y. L., and Brewer, W. A.: Turbulent Velocity-Variance Profiles in the Stable Boundary Layer Generated by a Nocturnal Low-Level Jet, J. Atmos. Sci., 63, 2700–2719, https://doi.org/10.1175/JAS3776.1, 2006.
Beyrich, F.: Mixing height estimation from sodar data – A critical discussion, Atmos. Environ., 31, 3941–3953, https://doi.org/10.1016/S1352-2310(97)00231-8, 1997.
Beyrich, F. and Leps, J.-P.: An operational mixing height data set from routine radiosoundings at Lindenberg: Methodology, Meteorol. Z., 21, 337–348, https://doi.org/10.1127/0941-2948/2012/0333, 2012.
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