Depolarization Lidar Determination of Cloud-Base Microphysical Properties

Journal Article (2016)
Author(s)

D.P. Donovan (TU Delft - Atmospheric Remote Sensing, Royal Netherlands Meteorological Institute (KNMI))

H Klein Baltink (Royal Netherlands Meteorological Institute (KNMI))

J.S. Henzing (TNO)

S. De Roode (TU Delft - Atmospheric Physics)

Pier Siebesma (TU Delft - Atmospheric Physics, Royal Netherlands Meteorological Institute (KNMI))

Research Group
Atmospheric Remote Sensing
Copyright
© 2016 D.P. Donovan, H Klein Baltink, J. S. Henzing, S.R. de Roode, A.P. Siebesma
DOI related publication
https://doi.org/10.1051/epjconf/201611916010
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 D.P. Donovan, H Klein Baltink, J. S. Henzing, S.R. de Roode, A.P. Siebesma
Research Group
Atmospheric Remote Sensing
Volume number
119
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Abstract

The links between multiple-scattering induced depolarization and cloud microphysical properties (e.g. cloud particle number density, effective radius, water content) have long been recognised. Previous efforts to use depolarization information in a quantitative manner to retrieve cloud microphysical cloud properties have also been undertaken but with limited scope and, arguably, success. In this work we present a retrieval procedure applicable to liquid stratus clouds with (quasi-)linear LWC profiles and (quasi-)constant number density profiles in the cloud-base region. This set of assumptions allows us to employ a fast and robust inversion procedure based on a lookup-table approach applied to extensive lidar Monte-Carlo multiple-scattering calculations. An example validation case is presented where the results of the inversion procedure are compared with simultaneous cloud radar observations. In non-drizzling conditions it was found, in general, that the lidar-only inversion results can be used to predict the radar reflectivity within the radar calibration uncertainty (2-3 dBZ). Results of a comparison between ground-based aerosol number concentration and lidar-derived cloud base number considerations are also presented. The observed relationship between the two quantities is seen to be consistent with the results of previous studies based on aircraft-based in situ measurements.