Print Email Facebook Twitter Depolarization Lidar Determination of Cloud-Base Microphysical Properties Title Depolarization Lidar Determination of Cloud-Base Microphysical Properties Author Donovan, D.P. (TU Delft Atmospheric Remote Sensing; Royal Netherlands Meteorological Institute (KNMI)) Klein Baltink, H (Royal Netherlands Meteorological Institute (KNMI)) Henzing, J. S. (TNO) de Roode, S.R. (TU Delft Atmospheric Physics) Siebesma, A.P. (TU Delft Atmospheric Physics; Royal Netherlands Meteorological Institute (KNMI)) Date 2016-06-07 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. To reference this document use: http://resolver.tudelft.nl/uuid:272069da-8c22-415e-ad24-cd7156a0c160 DOI https://doi.org/10.1051/epjconf/201611916010 ISSN 2100-014X Source EPJ Web of Conferences, 119 Event 27th International Laser Radar Conference, 2017-07-05 → 2017-07-10, City College of New York, New York, United States Part of collection Institutional Repository Document type journal article Rights © 2016 D.P. Donovan, H Klein Baltink, J. S. Henzing, S.R. de Roode, A.P. Siebesma Files PDF epjconf_ilrc2016_16010.pd.pdf 1.8 MB Close viewer /islandora/object/uuid:272069da-8c22-415e-ad24-cd7156a0c160/datastream/OBJ/view