POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites

Aerosol–cloud interactions (ACIs) are the largest contributor to the uncertainty in the global radiation budget. To improve the current consideration of ACIs in global circulation models, it is necessary to characterize the 3-D distribution of dust-related cloud condensation nuclei concentration (CC...

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Published in:Atmospheric Measurement Techniques
Main Authors: He, Yun, Yin, Zhenping, Ansmann, Albert, Liu, Fuchao, Wang, Longlong, Jing, Dongzhe, Shen, Huijia
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2023
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Online Access:https://doi.org/10.5194/amt-16-1951-2023
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00065901 2023-06-11T04:03:04+02:00 POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites He, Yun Yin, Zhenping Ansmann, Albert Liu, Fuchao Wang, Longlong Jing, Dongzhe Shen, Huijia 2023-04 electronic https://doi.org/10.5194/amt-16-1951-2023 https://noa.gwlb.de/receive/cop_mods_00065901 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00064409/amt-16-1951-2023.pdf https://amt.copernicus.org/articles/16/1951/2023/amt-16-1951-2023.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-16-1951-2023 https://noa.gwlb.de/receive/cop_mods_00065901 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00064409/amt-16-1951-2023.pdf https://amt.copernicus.org/articles/16/1951/2023/amt-16-1951-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/amt-16-1951-2023 2023-04-23T23:20:00Z Aerosol–cloud interactions (ACIs) are the largest contributor to the uncertainty in the global radiation budget. To improve the current consideration of ACIs in global circulation models, it is necessary to characterize the 3-D distribution of dust-related cloud condensation nuclei concentration (CCNC) and ice-nucleating particle concentration (INPC) globally. This can potentially be realized using the POlarization LIdar PHOtometer Networking (POLIPHON) method together with spaceborne lidar observations. However, dust-related conversion factors that convert bulk aerosol optical properties from lidar measurements to aerosol microphysical properties are still less constrained in many regions, which limits the applications of the POLIPHON method. Here we retrieve the essential dust-related conversion factors at remote oceanic and coastal sites using the historical AErosol RObotic NETwork (AERONET) database. Depolarization-ratio-based dust ratios Rd at 1020 nm are applied to identify the dust-occurring cases, thus enabling us to contain fine-mode dust-dominated cases (after the preferential removal of large-sized dust particles during transport), study the evolution of dust microphysical properties along the transoceanic pathway, and mitigate occasional interference of large-sized marine aerosols. The newly proposed scheme is proven to be valid and feasible by intercomparisons with previous studies at nine sites in/near deserts. The dust-related conversion factors are calculated at 20 oceanic and coastal sites using both pure dust (PD) and PD plus dust-dominated mixture (PD+DDM) datasets. At nearly half of the sites, the conversion factors are solely calculated using the PD datasets, while at the remaining sites, the participation of DDM datasets is required to ensure a sufficient number of data for the calculation. Evident variation trends in conversion factors are found for cv,d (extinction-to-volume concentration, gradually decreasing), c250,d (extinction-to-particle (with a radius > 250 nm) number ... Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Measurement Techniques 16 7 1951 1970
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
He, Yun
Yin, Zhenping
Ansmann, Albert
Liu, Fuchao
Wang, Longlong
Jing, Dongzhe
Shen, Huijia
POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
topic_facet article
Verlagsveröffentlichung
description Aerosol–cloud interactions (ACIs) are the largest contributor to the uncertainty in the global radiation budget. To improve the current consideration of ACIs in global circulation models, it is necessary to characterize the 3-D distribution of dust-related cloud condensation nuclei concentration (CCNC) and ice-nucleating particle concentration (INPC) globally. This can potentially be realized using the POlarization LIdar PHOtometer Networking (POLIPHON) method together with spaceborne lidar observations. However, dust-related conversion factors that convert bulk aerosol optical properties from lidar measurements to aerosol microphysical properties are still less constrained in many regions, which limits the applications of the POLIPHON method. Here we retrieve the essential dust-related conversion factors at remote oceanic and coastal sites using the historical AErosol RObotic NETwork (AERONET) database. Depolarization-ratio-based dust ratios Rd at 1020 nm are applied to identify the dust-occurring cases, thus enabling us to contain fine-mode dust-dominated cases (after the preferential removal of large-sized dust particles during transport), study the evolution of dust microphysical properties along the transoceanic pathway, and mitigate occasional interference of large-sized marine aerosols. The newly proposed scheme is proven to be valid and feasible by intercomparisons with previous studies at nine sites in/near deserts. The dust-related conversion factors are calculated at 20 oceanic and coastal sites using both pure dust (PD) and PD plus dust-dominated mixture (PD+DDM) datasets. At nearly half of the sites, the conversion factors are solely calculated using the PD datasets, while at the remaining sites, the participation of DDM datasets is required to ensure a sufficient number of data for the calculation. Evident variation trends in conversion factors are found for cv,d (extinction-to-volume concentration, gradually decreasing), c250,d (extinction-to-particle (with a radius > 250 nm) number ...
format Article in Journal/Newspaper
author He, Yun
Yin, Zhenping
Ansmann, Albert
Liu, Fuchao
Wang, Longlong
Jing, Dongzhe
Shen, Huijia
author_facet He, Yun
Yin, Zhenping
Ansmann, Albert
Liu, Fuchao
Wang, Longlong
Jing, Dongzhe
Shen, Huijia
author_sort He, Yun
title POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
title_short POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
title_full POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
title_fullStr POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
title_full_unstemmed POLIPHON conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
title_sort poliphon conversion factors for retrieving dust-related cloud condensation nuclei and ice-nucleating particle concentration profiles at oceanic sites
publisher Copernicus Publications
publishDate 2023
url https://doi.org/10.5194/amt-16-1951-2023
https://noa.gwlb.de/receive/cop_mods_00065901
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00064409/amt-16-1951-2023.pdf
https://amt.copernicus.org/articles/16/1951/2023/amt-16-1951-2023.pdf
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548
https://doi.org/10.5194/amt-16-1951-2023
https://noa.gwlb.de/receive/cop_mods_00065901
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00064409/amt-16-1951-2023.pdf
https://amt.copernicus.org/articles/16/1951/2023/amt-16-1951-2023.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.5194/amt-16-1951-2023
container_title Atmospheric Measurement Techniques
container_volume 16
container_issue 7
container_start_page 1951
op_container_end_page 1970
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