Estimated desert-dust ice nuclei profiles from polarization lidar: Methodology and case studies

A lidar method is presented that permits the estimation of height profiles of ice nuclei concentrations (INC) in desert dust layers. The polarization lidar technique is applied to separate dust and non-dust backscatter and extinction coefficients. The desert dust extinction coefficients σd are then...

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Main Authors: Mamouri, R.E., Ansmann, A.
Format: Article in Journal/Newspaper
Language:English
Published: München : European Geopyhsical Union 2015
Subjects:
ice
Online Access:https://oa.tib.eu/renate/handle/123456789/290
https://doi.org/10.34657/5082
id fttibhannoverren:oai:oa.tib.eu:123456789/290
record_format openpolar
spelling fttibhannoverren:oai:oa.tib.eu:123456789/290 2024-09-15T17:35:13+00:00 Estimated desert-dust ice nuclei profiles from polarization lidar: Methodology and case studies Mamouri, R.E. Ansmann, A. 2015 application/pdf https://oa.tib.eu/renate/handle/123456789/290 https://doi.org/10.34657/5082 eng eng München : European Geopyhsical Union DOI:https://doi.org/10.5194/acp-15-3463-2015 https://doi.org/10.34657/5082 https://oa.tib.eu/renate/handle/123456789/290 CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ frei zugänglich ddc:550 AERONET aerosol property dust estimation method ice lidar methodology particle size temperature profile status-type:publishedVersion doc-type:Article doc-type:Text 2015 fttibhannoverren https://doi.org/10.34657/508210.5194/acp-15-3463-2015 2024-06-26T23:32:42Z A lidar method is presented that permits the estimation of height profiles of ice nuclei concentrations (INC) in desert dust layers. The polarization lidar technique is applied to separate dust and non-dust backscatter and extinction coefficients. The desert dust extinction coefficients σd are then converted to aerosol particle number concentrations APC280 which consider particles with radius > 280 nm only. By using profiles of APC280 and ambient temperature T along the laser beam, the profile of INC can be estimated within a factor of 3 by means of APC-T-INC parameterizations from the literature. The observed close relationship between σd at 500 nm and APC280 is of key importance for a successful INC retrieval. We studied this link by means of AERONET (Aerosol Robotic Network) sun/sky photometer observations at Morocco, Cabo Verde, Barbados, and Cyprus during desert dust outbreaks. The new INC retrieval method is applied to lidar observations of dust layers with the spaceborne lidar CALIOP (Cloud Aerosol Lidar with Orthogonal Polarization) during two overpasses over the EARLINET (European Aerosol Research Lidar Network) lidar site of the Cyprus University of Technology (CUT), Limassol (34.7° N, 33° E), Cyprus. The good agreement between the CALIOP and CUT lidar retrievals of σd, APC280, and INC profiles corroborates the potential of CALIOP to provide 3-D global desert dust APC280 and INC data sets. Article in Journal/Newspaper Aerosol Robotic Network Renate - Repositorium für Naturwissenschaften und Technik (TIB Hannover)
institution Open Polar
collection Renate - Repositorium für Naturwissenschaften und Technik (TIB Hannover)
op_collection_id fttibhannoverren
language English
topic ddc:550
AERONET
aerosol property
dust
estimation method
ice
lidar
methodology
particle size
temperature profile
spellingShingle ddc:550
AERONET
aerosol property
dust
estimation method
ice
lidar
methodology
particle size
temperature profile
Mamouri, R.E.
Ansmann, A.
Estimated desert-dust ice nuclei profiles from polarization lidar: Methodology and case studies
topic_facet ddc:550
AERONET
aerosol property
dust
estimation method
ice
lidar
methodology
particle size
temperature profile
description A lidar method is presented that permits the estimation of height profiles of ice nuclei concentrations (INC) in desert dust layers. The polarization lidar technique is applied to separate dust and non-dust backscatter and extinction coefficients. The desert dust extinction coefficients σd are then converted to aerosol particle number concentrations APC280 which consider particles with radius > 280 nm only. By using profiles of APC280 and ambient temperature T along the laser beam, the profile of INC can be estimated within a factor of 3 by means of APC-T-INC parameterizations from the literature. The observed close relationship between σd at 500 nm and APC280 is of key importance for a successful INC retrieval. We studied this link by means of AERONET (Aerosol Robotic Network) sun/sky photometer observations at Morocco, Cabo Verde, Barbados, and Cyprus during desert dust outbreaks. The new INC retrieval method is applied to lidar observations of dust layers with the spaceborne lidar CALIOP (Cloud Aerosol Lidar with Orthogonal Polarization) during two overpasses over the EARLINET (European Aerosol Research Lidar Network) lidar site of the Cyprus University of Technology (CUT), Limassol (34.7° N, 33° E), Cyprus. The good agreement between the CALIOP and CUT lidar retrievals of σd, APC280, and INC profiles corroborates the potential of CALIOP to provide 3-D global desert dust APC280 and INC data sets.
format Article in Journal/Newspaper
author Mamouri, R.E.
Ansmann, A.
author_facet Mamouri, R.E.
Ansmann, A.
author_sort Mamouri, R.E.
title Estimated desert-dust ice nuclei profiles from polarization lidar: Methodology and case studies
title_short Estimated desert-dust ice nuclei profiles from polarization lidar: Methodology and case studies
title_full Estimated desert-dust ice nuclei profiles from polarization lidar: Methodology and case studies
title_fullStr Estimated desert-dust ice nuclei profiles from polarization lidar: Methodology and case studies
title_full_unstemmed Estimated desert-dust ice nuclei profiles from polarization lidar: Methodology and case studies
title_sort estimated desert-dust ice nuclei profiles from polarization lidar: methodology and case studies
publisher München : European Geopyhsical Union
publishDate 2015
url https://oa.tib.eu/renate/handle/123456789/290
https://doi.org/10.34657/5082
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation DOI:https://doi.org/10.5194/acp-15-3463-2015
https://doi.org/10.34657/5082
https://oa.tib.eu/renate/handle/123456789/290
op_rights CC BY 3.0 Unported
https://creativecommons.org/licenses/by/3.0/
frei zugänglich
op_doi https://doi.org/10.34657/508210.5194/acp-15-3463-2015
_version_ 1810445377131773952