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Depolarization Lidar Determination of Cloud-Base Microphysical Properties. / Donovan, D. P.; Klein Baltink, H; Henzing, J. S.; De Roode, S.; Siebesma, A. P.

In: EPJ Web of Conferences, Vol. 119, 16010, 07.06.2016.

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Donovan, D. P. ; Klein Baltink, H ; Henzing, J. S. ; De Roode, S. ; Siebesma, A. P. / Depolarization Lidar Determination of Cloud-Base Microphysical Properties. In: EPJ Web of Conferences. 2016 ; Vol. 119.

BibTeX

@article{272069da8c22415ead24cd7156a0c160,
title = "Depolarization Lidar Determination of Cloud-Base Microphysical Properties",
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.",
author = "Donovan, {D. P.} and {Klein Baltink}, H and Henzing, {J. S.} and {De Roode}, S. and Siebesma, {A. P.}",
year = "2016",
month = "6",
day = "7",
doi = "10.1051/epjconf/201611916010",
language = "English",
volume = "119",
journal = "EPJ Web of Conferences",
issn = "2100-014X",
publisher = "EDP Sciences",

}

RIS

TY - JOUR

T1 - Depolarization Lidar Determination of Cloud-Base Microphysical Properties

AU - Donovan, D. P.

AU - Klein Baltink, H

AU - Henzing, J. S.

AU - De Roode, S.

AU - Siebesma, A. P.

PY - 2016/6/7

Y1 - 2016/6/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84976333238&partnerID=8YFLogxK

UR - http://resolver.tudelft.nl/uuid:272069da-8c22-415e-ad24-cd7156a0c160

U2 - 10.1051/epjconf/201611916010

DO - 10.1051/epjconf/201611916010

M3 - Conference article

VL - 119

JO - EPJ Web of Conferences

T2 - EPJ Web of Conferences

JF - EPJ Web of Conferences

SN - 2100-014X

M1 - 16010

ER -

ID: 56766291