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...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Amiridis, Vassilis, Wandinger, Ulla, Marinou, E., Giannakaki, E., Tsekeri, A., Basart Alpuente, Sara, Kazadzis, Stylianos, Gkikas, A., Taylor, M., Baldasano Recio, José María, Ansmann, Albert
Other Authors: Universitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria, Universitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental
Format: Article in Journal/Newspaper
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/2117/21999
https://doi.org/10.5194/acp-13-12089-2013
id ftupcatalunya:oai:upcommons.upc.edu:2117/21999
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institution Open Polar
collection Universitat Politècnica de Catalunya (UPC): Theses and Dissertations Online (TDX)
op_collection_id ftupcatalunya
language English
topic Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental
Radar meteorology
Air quality -- Measurement
Mineral dust
Artificial satellites in remote sensing
Infrared radiation
Atmospheric aerosols
GEOBASE Subject Index: aerosol
CALIPSO
detection method
dust
lidar
MODIS
optical depth
optimization
spatial variation Regional Index: Africa
Europe
Sahara
Radarmeteorologia
Aire -- Qualitat -- Mesurament
Pols mineral
Satèl·lits artificials en teledetecció
Raigs infraroigs
Aerosols atmosfèrics
spellingShingle Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental
Radar meteorology
Air quality -- Measurement
Mineral dust
Artificial satellites in remote sensing
Infrared radiation
Atmospheric aerosols
GEOBASE Subject Index: aerosol
CALIPSO
detection method
dust
lidar
MODIS
optical depth
optimization
spatial variation Regional Index: Africa
Europe
Sahara
Radarmeteorologia
Aire -- Qualitat -- Mesurament
Pols mineral
Satèl·lits artificials en teledetecció
Raigs infraroigs
Aerosols atmosfèrics
Amiridis, Vassilis
Wandinger, Ulla
Marinou, E.
Giannakaki, E.
Tsekeri, A.
Basart Alpuente, Sara
Kazadzis, Stylianos
Gkikas, A.
Taylor, M.
Baldasano Recio, José María
Ansmann, Albert
Optimizing CALIPSO saharan dust retrievals
topic_facet Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental
Radar meteorology
Air quality -- Measurement
Mineral dust
Artificial satellites in remote sensing
Infrared radiation
Atmospheric aerosols
GEOBASE Subject Index: aerosol
CALIPSO
detection method
dust
lidar
MODIS
optical depth
optimization
spatial variation Regional Index: Africa
Europe
Sahara
Radarmeteorologia
Aire -- Qualitat -- Mesurament
Pols mineral
Satèl·lits artificials en teledetecció
Raigs infraroigs
Aerosols atmosfèrics
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 Postprint (published version)
author2 Universitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria
Universitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental
format Article in Journal/Newspaper
author Amiridis, Vassilis
Wandinger, Ulla
Marinou, E.
Giannakaki, E.
Tsekeri, A.
Basart Alpuente, Sara
Kazadzis, Stylianos
Gkikas, A.
Taylor, M.
Baldasano Recio, José María
Ansmann, Albert
author_facet Amiridis, Vassilis
Wandinger, Ulla
Marinou, E.
Giannakaki, E.
Tsekeri, A.
Basart Alpuente, Sara
Kazadzis, Stylianos
Gkikas, A.
Taylor, M.
Baldasano Recio, José María
Ansmann, Albert
author_sort Amiridis, Vassilis
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
publishDate 2013
url http://hdl.handle.net/2117/21999
https://doi.org/10.5194/acp-13-12089-2013
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
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info:eu-repo/grantAgreement/EC/FP7/247492/EU/Aerosol and Cloud Influence on global surface UV irradiance retrieved from satellite sensors/ACI-UV
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Open Access
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container_title Atmospheric Chemistry and Physics
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spelling ftupcatalunya:oai:upcommons.upc.edu:2117/21999 2023-05-15T13:07:14+02:00 Optimizing CALIPSO saharan dust retrievals Amiridis, Vassilis Wandinger, Ulla Marinou, E. Giannakaki, E. Tsekeri, A. Basart Alpuente, Sara Kazadzis, Stylianos Gkikas, A. Taylor, M. Baldasano Recio, José María Ansmann, Albert Universitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria Universitat Politècnica de Catalunya. MTA - Modelització i Tecnologia Ambiental 2013-12-13 18 p. http://hdl.handle.net/2117/21999 https://doi.org/10.5194/acp-13-12089-2013 eng eng info:eu-repo/grantAgreement/EC/FP7/316210/EU/Building Capacity for a Centre of Excellence for EO-based monitoring of Natural Disasters/BEYOND info:eu-repo/grantAgreement/EC/FP7/262254/EU/Aerosols, Clouds, and Trace gases Research Infrastructure Network/ACTRIS info:eu-repo/grantAgreement/EC/FP7/247492/EU/Aerosol and Cloud Influence on global surface UV irradiance retrieved from satellite sensors/ACI-UV info:eu-repo/grantAgreement/EC/FP7/300515/EU/Global mapping of aerosol properties using neural networkinversions of ground and satellite based data/AEROMAP Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access CC-BY-NC-ND Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental Radar meteorology Air quality -- Measurement Mineral dust Artificial satellites in remote sensing Infrared radiation Atmospheric aerosols GEOBASE Subject Index: aerosol CALIPSO detection method dust lidar MODIS optical depth optimization spatial variation Regional Index: Africa Europe Sahara Radarmeteorologia Aire -- Qualitat -- Mesurament Pols mineral Satèl·lits artificials en teledetecció Raigs infraroigs Aerosols atmosfèrics Article 2013 ftupcatalunya https://doi.org/10.5194/acp-13-12089-2013 2019-09-29T08:54:32Z 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 Postprint (published version) Article in Journal/Newspaper Aerosol Robotic Network Universitat Politècnica de Catalunya (UPC): Theses and Dissertations Online (TDX) Atmospheric Chemistry and Physics 13 23 12089 12106