Fine and coarse dust separation with polarization lidar
The polarization-lidar photometer networking (POLIPHON) method for separating dust and non-dust aerosol backscatter and extinction, volume, and mass concentration is extended to allow for a height-resolved separation of fine-mode and coarse-mode dust properties in addition. The method is applied to...
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München : European Geopyhsical Union
2014
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ftleibnizopen:oai:oai.leibnizopen.de:L7u2IJEBBwLIz6xG8hbZ 2024-09-15T17:35:11+00:00 Fine and coarse dust separation with polarization lidar Mamouri, R.E. Ansmann, A. 2014 application/pdf https://doi.org/10.34657/944 https://oa.tib.eu/renate/handle/123456789/796 eng eng München : European Geopyhsical Union CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ 550 aerosol backscatter dust lidar optical property polarization Article Text 2014 ftleibnizopen https://doi.org/10.34657/944 2024-08-05T12:41:46Z The polarization-lidar photometer networking (POLIPHON) method for separating dust and non-dust aerosol backscatter and extinction, volume, and mass concentration is extended to allow for a height-resolved separation of fine-mode and coarse-mode dust properties in addition. The method is applied to a period with complex aerosol layering of fine-mode background dust from Turkey and Arabian desert dust from Syria. The observation was performed at the combined European Aerosol Research Lidar Network (EARLINET) and Aerosol Robotic Network (AERONET) site of Limassol (34.7° N, 33° E), Cyprus, in September 2011. The dust profiling methodology and case studies are presented. Consistency between the column-integrated optical properties obtained with sun/sky photometer and the respective results derived by means of the new lidar-based method corroborate the applicability of the extended POLIPHON version. publishedVersion Article in Journal/Newspaper Aerosol Robotic Network LeibnizOpen (The Leibniz Association) |
institution |
Open Polar |
collection |
LeibnizOpen (The Leibniz Association) |
op_collection_id |
ftleibnizopen |
language |
English |
topic |
550 aerosol backscatter dust lidar optical property polarization |
spellingShingle |
550 aerosol backscatter dust lidar optical property polarization Mamouri, R.E. Ansmann, A. Fine and coarse dust separation with polarization lidar |
topic_facet |
550 aerosol backscatter dust lidar optical property polarization |
description |
The polarization-lidar photometer networking (POLIPHON) method for separating dust and non-dust aerosol backscatter and extinction, volume, and mass concentration is extended to allow for a height-resolved separation of fine-mode and coarse-mode dust properties in addition. The method is applied to a period with complex aerosol layering of fine-mode background dust from Turkey and Arabian desert dust from Syria. The observation was performed at the combined European Aerosol Research Lidar Network (EARLINET) and Aerosol Robotic Network (AERONET) site of Limassol (34.7° N, 33° E), Cyprus, in September 2011. The dust profiling methodology and case studies are presented. Consistency between the column-integrated optical properties obtained with sun/sky photometer and the respective results derived by means of the new lidar-based method corroborate the applicability of the extended POLIPHON version. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Mamouri, R.E. Ansmann, A. |
author_facet |
Mamouri, R.E. Ansmann, A. |
author_sort |
Mamouri, R.E. |
title |
Fine and coarse dust separation with polarization lidar |
title_short |
Fine and coarse dust separation with polarization lidar |
title_full |
Fine and coarse dust separation with polarization lidar |
title_fullStr |
Fine and coarse dust separation with polarization lidar |
title_full_unstemmed |
Fine and coarse dust separation with polarization lidar |
title_sort |
fine and coarse dust separation with polarization lidar |
publisher |
München : European Geopyhsical Union |
publishDate |
2014 |
url |
https://doi.org/10.34657/944 https://oa.tib.eu/renate/handle/123456789/796 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_rights |
CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.34657/944 |
_version_ |
1810443354177011712 |