Please use this identifier to cite or link to this item: https://oar.tib.eu/jspui/handle/123456789/280
Files in This Item:
File SizeFormat 
j.1600-0889.2008.00381.pdf643,34 kBAdobe PDFView/Open
Title: Numerical simulations of optical properties of Saharan dust aerosols with emphasis on lidar applications
Authors: Wiegner, M.Gasteiger, J.Kandler, K.Weinzierl, B.Rasp, K.Esselborn, M.Freudenthaler, V.Heese, B.Toledano, C.Tesche, M.Althausen, D.
Publishers Version: https://doi.org/10.1111/j.1600-0889.2008.00381.x
Issue Date: 2017
Published in: Tellus B: Chemical and Physical Meteorology , Volume 61, Issue 1, Page 180-194
Publisher: Milton Park : Taylor & Francis
Abstract: In the framework of the Saharan Mineral Dust Experiment (SAMUM) for the first time the spectral dependence of particle linear depolarization ratios was measured by combining four lidar systems. In this paper these measurements are compared with results from scattering theory based on the T-matrix method. For this purpose, in situ measurements—size distribution, shape distribution and refractive index—were used as input parameters; particle shape was approximated by spheroids. A sensitivity study showed that lidar-related parameters—lidar ratio Sp and linear depolarization ratio δp—are very sensitive to changes of all parameters. The simulated values of the δp are in the range of 20% and 31% and thus in the range of the measurements. The spectral dependence is weak, so that it could not be resolved by the measurements. Calculated lidar ratios based on the measured microphysics and considering equivalent radii up to 7.5μm show a range of possible values between 29 and 50 sr at λ = 532 nm. Larger Sp might be possible if the real part of the refractive index is small and the imaginary part is large. A strict validation was however not possible as too many microphysical parameters influence Sp and δp that could not be measured with the required accuracy.
Keywords: accuracy assessment; aerosol; computer simulation; dust; geometry; in situ measurement; lidar; numerical model; parameterization; particle size; refractive index; size distribution; spatial distribution; spectral analysis
DDC: 550
License: CC BY 4.0 Unported
Link to License: https://creativecommons.org/licenses/by/4.0/
Appears in Collections:Geowissenschaften



This item is licensed under a Creative Commons License Creative Commons