A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust
A new four-dimensional, multiyear, and near-global climate data record of the fine-mode (submicrometer in terms of diameter) and coarse-mode (supermicrometer in terms of diameter) components of atmospheric pure dust is presented. The separation of the two modes of dust in detected atmospheric dust l...
Published in: | Atmospheric Measurement Techniques |
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Copernicus Publications
2024
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Online Access: | https://doi.org/10.5194/amt-17-3625-2024 https://doaj.org/article/3a0043d96a6c4e159814f482085be06e |
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author | E. Proestakis A. Gkikas T. Georgiou A. Kampouri E. Drakaki C. L. Ryder F. Marenco E. Marinou V. Amiridis |
author_facet | E. Proestakis A. Gkikas T. Georgiou A. Kampouri E. Drakaki C. L. Ryder F. Marenco E. Marinou V. Amiridis |
author_sort | E. Proestakis |
collection | Directory of Open Access Journals: DOAJ Articles |
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container_title | Atmospheric Measurement Techniques |
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description | A new four-dimensional, multiyear, and near-global climate data record of the fine-mode (submicrometer in terms of diameter) and coarse-mode (supermicrometer in terms of diameter) components of atmospheric pure dust is presented. The separation of the two modes of dust in detected atmospheric dust layers is based on a combination of (1) the total pure-dust product provided by the well-established European Space Agency (ESA) “LIdar climatology of Vertical Aerosol Structure” (LIVAS) database and (2) the coarse-mode component of pure dust provided by the first step of the two-step POlarization LIdar PHOtometer Networking (POLIPHON) technique, developed in the framework of the European Aerosol Research Lidar Network (EARLINET). Accordingly, the fine-mode component of pure dust is extracted as the residual between the LIVAS total pure dust and the coarse-mode component of pure dust. Intermediate steps involve the implementation of regionally dependent lidar-derived lidar ratio values and AErosol RObotic NETwork (AERONET)-based climatological extinction-to-volume conversion factors, facilitating conversion of dust backscatter into extinction and subsequently extinction into mass concentration. The decoupling scheme is applied to observations from the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) at 532 nm. The final products consist of the fine mode and coarse mode of atmospheric pure dust, quality-assured profiles of backscatter coefficient at 532 nm, extinction coefficient at 532 nm, and mass concentration for each of the two components. The datasets are established primarily with the original L2 horizontal (5 km) and vertical (60 m) resolution of the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) along the CALIPSO orbit path and secondly in averaged profiles of seasonal–temporal resolution, 1° × 1° spatial resolution, and the original vertical resolution of CALIPSO, focusing on the latitudinal band extending between 70° S and 70° N and covering more than 15 years of Earth ... |
format | Article in Journal/Newspaper |
genre | Aerosol Robotic Network |
genre_facet | Aerosol Robotic Network |
id | ftdoajarticles:oai:doaj.org/article:3a0043d96a6c4e159814f482085be06e |
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op_doi | https://doi.org/10.5194/amt-17-3625-2024 |
op_relation | https://amt.copernicus.org/articles/17/3625/2024/amt-17-3625-2024.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-17-3625-2024 1867-1381 1867-8548 https://doaj.org/article/3a0043d96a6c4e159814f482085be06e |
op_source | Atmospheric Measurement Techniques, Vol 17, Pp 3625-3667 (2024) |
publishDate | 2024 |
publisher | Copernicus Publications |
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spelling | ftdoajarticles:oai:doaj.org/article:3a0043d96a6c4e159814f482085be06e 2025-01-16T18:39:07+00:00 A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust E. Proestakis A. Gkikas T. Georgiou A. Kampouri E. Drakaki C. L. Ryder F. Marenco E. Marinou V. Amiridis 2024-06-01T00:00:00Z https://doi.org/10.5194/amt-17-3625-2024 https://doaj.org/article/3a0043d96a6c4e159814f482085be06e EN eng Copernicus Publications https://amt.copernicus.org/articles/17/3625/2024/amt-17-3625-2024.pdf https://doaj.org/toc/1867-1381 https://doaj.org/toc/1867-8548 doi:10.5194/amt-17-3625-2024 1867-1381 1867-8548 https://doaj.org/article/3a0043d96a6c4e159814f482085be06e Atmospheric Measurement Techniques, Vol 17, Pp 3625-3667 (2024) Environmental engineering TA170-171 Earthwork. Foundations TA715-787 article 2024 ftdoajarticles https://doi.org/10.5194/amt-17-3625-2024 2024-08-05T17:49:10Z A new four-dimensional, multiyear, and near-global climate data record of the fine-mode (submicrometer in terms of diameter) and coarse-mode (supermicrometer in terms of diameter) components of atmospheric pure dust is presented. The separation of the two modes of dust in detected atmospheric dust layers is based on a combination of (1) the total pure-dust product provided by the well-established European Space Agency (ESA) “LIdar climatology of Vertical Aerosol Structure” (LIVAS) database and (2) the coarse-mode component of pure dust provided by the first step of the two-step POlarization LIdar PHOtometer Networking (POLIPHON) technique, developed in the framework of the European Aerosol Research Lidar Network (EARLINET). Accordingly, the fine-mode component of pure dust is extracted as the residual between the LIVAS total pure dust and the coarse-mode component of pure dust. Intermediate steps involve the implementation of regionally dependent lidar-derived lidar ratio values and AErosol RObotic NETwork (AERONET)-based climatological extinction-to-volume conversion factors, facilitating conversion of dust backscatter into extinction and subsequently extinction into mass concentration. The decoupling scheme is applied to observations from the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) at 532 nm. The final products consist of the fine mode and coarse mode of atmospheric pure dust, quality-assured profiles of backscatter coefficient at 532 nm, extinction coefficient at 532 nm, and mass concentration for each of the two components. The datasets are established primarily with the original L2 horizontal (5 km) and vertical (60 m) resolution of the Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) along the CALIPSO orbit path and secondly in averaged profiles of seasonal–temporal resolution, 1° × 1° spatial resolution, and the original vertical resolution of CALIPSO, focusing on the latitudinal band extending between 70° S and 70° N and covering more than 15 years of Earth ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Atmospheric Measurement Techniques 17 12 3625 3667 |
spellingShingle | Environmental engineering TA170-171 Earthwork. Foundations TA715-787 E. Proestakis A. Gkikas T. Georgiou A. Kampouri E. Drakaki C. L. Ryder F. Marenco E. Marinou V. Amiridis A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust |
title | A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust |
title_full | A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust |
title_fullStr | A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust |
title_full_unstemmed | A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust |
title_short | A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust |
title_sort | near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust |
topic | Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
topic_facet | Environmental engineering TA170-171 Earthwork. Foundations TA715-787 |
url | https://doi.org/10.5194/amt-17-3625-2024 https://doaj.org/article/3a0043d96a6c4e159814f482085be06e |