Optimizing CALIPSO Saharan dust retrievals

We demonstrate improvements in CALIPSO (Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations) dust extinction retrievals over northern Africa and Europe when corrections are applied regarding the Saharan dust lidar ratio assumption, the separation of the dust portion in detected dust m...

Full description

Bibliographic Details
Main Authors: Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A., Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., Ansmann, A.
Format: Article in Journal/Newspaper
Language:English
Published: München : European Geopyhsical Union 2013
Subjects:
550
Online Access:https://doi.org/10.34657/1153
https://oa.tib.eu/renate/handle/123456789/564
id ftleibnizopen:oai:oai.leibnizopen.de:fB6CMYsBBwLIz6xGEA0B
record_format openpolar
spelling ftleibnizopen:oai:oai.leibnizopen.de:fB6CMYsBBwLIz6xGEA0B 2023-11-12T03:59:50+01:00 Optimizing CALIPSO Saharan dust retrievals Amiridis, V. Wandinger, U. Marinou, E. Giannakaki, E. Tsekeri, A. Basart, S. Kazadzis, S. Gkikas, A. Taylor, M. Baldasano, J. Ansmann, A. 2013 application/pdf https://doi.org/10.34657/1153 https://oa.tib.eu/renate/handle/123456789/564 eng eng München : European Geopyhsical Union CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0/ Atmospheric Chemistry and Physics, Volume 13, Issue 23, Page 12089-12106 aerosol CALIPSO detection method dust lidar MODIS optical depth optimization spatial variation 550 article Text 2013 ftleibnizopen https://doi.org/10.34657/1153 2023-10-15T23:35:49Z We demonstrate improvements in CALIPSO (Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations) dust extinction retrievals over northern Africa and Europe when corrections are applied regarding the Saharan dust lidar ratio assumption, the separation of the dust portion in detected dust mixtures, and the averaging scheme introduced in the Level 3 CALIPSO product. First, a universal, spatially constant lidar ratio of 58 sr instead of 40 sr is applied to individual Level 2 dust-related backscatter products. The resulting aerosol optical depths show an improvement compared with synchronous and collocated AERONET (Aerosol Robotic Network) measurements. An absolute bias of the order of −0.03 has been found, improving on the statistically significant biases of the order of −0.10 reported in the literature for the original CALIPSO product. When compared with the MODIS (Moderate-Resolution Imaging Spectroradiometer) collocated aerosol optical depth (AOD) product, the CALIPSO negative bias is even less for the lidar ratio of 58 sr. After introducing the new lidar ratio for the domain studied, we examine potential improvements to the climatological CALIPSO Level 3 extinction product: (1) by introducing a new methodology for the calculation of pure dust extinction from dust mixtures and (2) by applying an averaging scheme that includes zero extinction values for the nondust aerosol types detected. The scheme is applied at a horizontal spatial resolution of 1° × 1° for ease of comparison with the instantaneous and collocated dust extinction profiles simulated by the BSC-DREAM8b dust model. Comparisons show that the extinction profiles retrieved with the proposed methodology reproduce the well-known model biases per subregion examined. The very good agreement of the proposed CALIPSO extinction product with respect to AERONET, MODIS and the BSC-DREAM8b dust model makes this dataset an ideal candidate for the provision of an accurate and robust multiyear dust climatology over northern Africa and Europe. ... Article in Journal/Newspaper Aerosol Robotic Network Unknown
institution Open Polar
collection Unknown
op_collection_id ftleibnizopen
language English
topic aerosol
CALIPSO
detection method
dust
lidar
MODIS
optical depth
optimization
spatial variation
550
spellingShingle aerosol
CALIPSO
detection method
dust
lidar
MODIS
optical depth
optimization
spatial variation
550
Amiridis, V.
Wandinger, U.
Marinou, E.
Giannakaki, E.
Tsekeri, A.
Basart, S.
Kazadzis, S.
Gkikas, A.
Taylor, M.
Baldasano, J.
Ansmann, A.
Optimizing CALIPSO Saharan dust retrievals
topic_facet aerosol
CALIPSO
detection method
dust
lidar
MODIS
optical depth
optimization
spatial variation
550
description We demonstrate improvements in CALIPSO (Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations) dust extinction retrievals over northern Africa and Europe when corrections are applied regarding the Saharan dust lidar ratio assumption, the separation of the dust portion in detected dust mixtures, and the averaging scheme introduced in the Level 3 CALIPSO product. First, a universal, spatially constant lidar ratio of 58 sr instead of 40 sr is applied to individual Level 2 dust-related backscatter products. The resulting aerosol optical depths show an improvement compared with synchronous and collocated AERONET (Aerosol Robotic Network) measurements. An absolute bias of the order of −0.03 has been found, improving on the statistically significant biases of the order of −0.10 reported in the literature for the original CALIPSO product. When compared with the MODIS (Moderate-Resolution Imaging Spectroradiometer) collocated aerosol optical depth (AOD) product, the CALIPSO negative bias is even less for the lidar ratio of 58 sr. After introducing the new lidar ratio for the domain studied, we examine potential improvements to the climatological CALIPSO Level 3 extinction product: (1) by introducing a new methodology for the calculation of pure dust extinction from dust mixtures and (2) by applying an averaging scheme that includes zero extinction values for the nondust aerosol types detected. The scheme is applied at a horizontal spatial resolution of 1° × 1° for ease of comparison with the instantaneous and collocated dust extinction profiles simulated by the BSC-DREAM8b dust model. Comparisons show that the extinction profiles retrieved with the proposed methodology reproduce the well-known model biases per subregion examined. The very good agreement of the proposed CALIPSO extinction product with respect to AERONET, MODIS and the BSC-DREAM8b dust model makes this dataset an ideal candidate for the provision of an accurate and robust multiyear dust climatology over northern Africa and Europe. ...
format Article in Journal/Newspaper
author Amiridis, V.
Wandinger, U.
Marinou, E.
Giannakaki, E.
Tsekeri, A.
Basart, S.
Kazadzis, S.
Gkikas, A.
Taylor, M.
Baldasano, J.
Ansmann, A.
author_facet Amiridis, V.
Wandinger, U.
Marinou, E.
Giannakaki, E.
Tsekeri, A.
Basart, S.
Kazadzis, S.
Gkikas, A.
Taylor, M.
Baldasano, J.
Ansmann, A.
author_sort Amiridis, V.
title Optimizing CALIPSO Saharan dust retrievals
title_short Optimizing CALIPSO Saharan dust retrievals
title_full Optimizing CALIPSO Saharan dust retrievals
title_fullStr Optimizing CALIPSO Saharan dust retrievals
title_full_unstemmed Optimizing CALIPSO Saharan dust retrievals
title_sort optimizing calipso saharan dust retrievals
publisher München : European Geopyhsical Union
publishDate 2013
url https://doi.org/10.34657/1153
https://oa.tib.eu/renate/handle/123456789/564
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric Chemistry and Physics, Volume 13, Issue 23, Page 12089-12106
op_rights CC BY 3.0 Unported
https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.34657/1153
_version_ 1782337863773323264