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CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design

The CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) level 3 aerosol profile product reports globally gridded, quality-screened, monthly mean aerosol extinction profiles retrieved by CALIOP (the Cloud-Aerosol Lidar with Orthogonal Polarization). This paper describes the q...

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Autores principales: Tackett, Jason L., Winker, David M., Getzewich, Brian J., Vaughan, Mark A., Young, Stuart A., Kar, Jayanta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840064/
https://www.ncbi.nlm.nih.gov/pubmed/33510819
http://dx.doi.org/10.5194/amt-11-4129-2018
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author Tackett, Jason L.
Winker, David M.
Getzewich, Brian J.
Vaughan, Mark A.
Young, Stuart A.
Kar, Jayanta
author_facet Tackett, Jason L.
Winker, David M.
Getzewich, Brian J.
Vaughan, Mark A.
Young, Stuart A.
Kar, Jayanta
author_sort Tackett, Jason L.
collection PubMed
description The CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) level 3 aerosol profile product reports globally gridded, quality-screened, monthly mean aerosol extinction profiles retrieved by CALIOP (the Cloud-Aerosol Lidar with Orthogonal Polarization). This paper describes the quality screening and averaging methods used to generate the version 3 product. The fundamental input data are CALIOP level 2 aerosol extinction profiles and layer classification information (aerosol, cloud, and clear-air). Prior to aggregation, the extinction profiles are quality-screened by a series of filters to reduce the impact of layer detection errors, layer classification errors, extinction retrieval errors, and biases due to an intermittent signal anomaly at the surface. The relative influence of these filters are compared in terms of sample rejection frequency, mean extinction, and mean aerosol optical depth (AOD). The “extinction QC flag” filter is the most influential in preventing high-biases in level 3 mean extinction, while the “misclassified cirrus fringe” filter is most aggressive at rejecting cirrus misclassified as aerosol. The impact of quality screening on monthly mean aerosol extinction is investigated globally and regionally. After applying quality filters, the level 3 algorithm calculates monthly mean AOD by vertically integrating the monthly mean quality-screened aerosol extinction profile. Calculating monthly mean AOD by integrating the monthly mean extinction profile prevents a low bias that would result from alternately integrating the set of extinction profiles first and then averaging the resultant AOD values together. Ultimately, the quality filters reduce level 3 mean AOD by −24 and −31% for global ocean and global land, respectively, indicating the importance of quality screening.
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spelling pubmed-78400642021-01-27 CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design Tackett, Jason L. Winker, David M. Getzewich, Brian J. Vaughan, Mark A. Young, Stuart A. Kar, Jayanta Atmos Meas Tech Article The CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) level 3 aerosol profile product reports globally gridded, quality-screened, monthly mean aerosol extinction profiles retrieved by CALIOP (the Cloud-Aerosol Lidar with Orthogonal Polarization). This paper describes the quality screening and averaging methods used to generate the version 3 product. The fundamental input data are CALIOP level 2 aerosol extinction profiles and layer classification information (aerosol, cloud, and clear-air). Prior to aggregation, the extinction profiles are quality-screened by a series of filters to reduce the impact of layer detection errors, layer classification errors, extinction retrieval errors, and biases due to an intermittent signal anomaly at the surface. The relative influence of these filters are compared in terms of sample rejection frequency, mean extinction, and mean aerosol optical depth (AOD). The “extinction QC flag” filter is the most influential in preventing high-biases in level 3 mean extinction, while the “misclassified cirrus fringe” filter is most aggressive at rejecting cirrus misclassified as aerosol. The impact of quality screening on monthly mean aerosol extinction is investigated globally and regionally. After applying quality filters, the level 3 algorithm calculates monthly mean AOD by vertically integrating the monthly mean quality-screened aerosol extinction profile. Calculating monthly mean AOD by integrating the monthly mean extinction profile prevents a low bias that would result from alternately integrating the set of extinction profiles first and then averaging the resultant AOD values together. Ultimately, the quality filters reduce level 3 mean AOD by −24 and −31% for global ocean and global land, respectively, indicating the importance of quality screening. 2018-07-17 2018-07 /pmc/articles/PMC7840064/ /pubmed/33510819 http://dx.doi.org/10.5194/amt-11-4129-2018 Text en http://creativecommons.org/licenses/by/4.0/ This work is distributed under the Creative Commons Attribution 4.0 License.
spellingShingle Article
Tackett, Jason L.
Winker, David M.
Getzewich, Brian J.
Vaughan, Mark A.
Young, Stuart A.
Kar, Jayanta
CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design
title CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design
title_full CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design
title_fullStr CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design
title_full_unstemmed CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design
title_short CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design
title_sort calipso lidar level 3 aerosol profile product: version 3 algorithm design
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840064/
https://www.ncbi.nlm.nih.gov/pubmed/33510819
http://dx.doi.org/10.5194/amt-11-4129-2018
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