Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes
In a companion paper (Xian et al., 2022, part 1 of the study), we present an Arctic aerosol optical depth (AOD) climatology and trend analysis for 2003–2019 spring and summertime periods derived from a combination of aerosol reanalyses, remote-sensing retrievals, and ground observations. Continued f...
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ftdoajarticles:oai:doaj.org/article:e61a12e988694586815b6438e4bbb6a3 2023-05-15T13:07:04+02:00 Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes P. Xian J. Zhang N. T. O'Neill J. S. Reid T. D. Toth B. Sorenson E. J. Hyer J. R. Campbell K. Ranjbar 2022-08-01T00:00:00Z https://doi.org/10.5194/acp-22-9949-2022 https://doaj.org/article/e61a12e988694586815b6438e4bbb6a3 EN eng Copernicus Publications https://acp.copernicus.org/articles/22/9949/2022/acp-22-9949-2022.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-22-9949-2022 1680-7316 1680-7324 https://doaj.org/article/e61a12e988694586815b6438e4bbb6a3 Atmospheric Chemistry and Physics, Vol 22, Pp 9949-9967 (2022) Physics QC1-999 Chemistry QD1-999 article 2022 ftdoajarticles https://doi.org/10.5194/acp-22-9949-2022 2022-12-31T01:03:03Z In a companion paper (Xian et al., 2022, part 1 of the study), we present an Arctic aerosol optical depth (AOD) climatology and trend analysis for 2003–2019 spring and summertime periods derived from a combination of aerosol reanalyses, remote-sensing retrievals, and ground observations. Continued from the previous discussion and as the second part of the study, we report the statistics and trends of Arctic AOD extreme events using the U.S. Navy Aerosol Analysis and Prediction System ReAnalysis version 1 (NAAPS-RA v1), the sun photometer data from the AErosol RObotic NETwork (AERONET) sites, and the oceanic Maritime Aerosol Network (MAN) measurements. Here, extreme AOD events are defined as events with AOD exceeding the 95th percentile (denoted “AOD 95 ”) of AOD distributions for given locations using 6-hourly or daily AOD data. While AERONET and MAN data estimate the Arctic median 550 nm AOD value to be 0.07, the 95th percentile value is 0.24. Such extreme events are dominated by fine-mode aerosol particles, largely attributable to biomass burning (BB) smoke events for the North American Arctic, the Asian Arctic, and most areas of the Arctic Ocean. However, extreme AOD events for the lower European Arctic are more attributable to anthropogenic and biogenic fine particles. The extreme-event occurrence dominance of sea salt is largely limited to the North Atlantic and Norwegian Sea. The extreme AOD amplitudes of anthropogenic and biogenic fine-mode and sea salt AOD are, however, significantly lower than those regions where extreme smoke AOD is dominant. Even for sites distant from BB source regions, BB smoke is the principal driver of AOD variation above the AOD 95 threshold. Maximum AOD values in the high Arctic in 2010–2019 have increased compared to 2003–2009, indicating stronger extreme BB smoke influence in more recent years. The occurrence of extreme smoke events tended to be more equally distributed over all months (April–August) during the 2003–2009 period while being more concentrated in the late season ... Article in Journal/Newspaper Aerosol Robotic Network Arctic Arctic Ocean North Atlantic Norwegian Sea Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Norwegian Sea Atmospheric Chemistry and Physics 22 15 9949 9967 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Physics QC1-999 Chemistry QD1-999 |
spellingShingle |
Physics QC1-999 Chemistry QD1-999 P. Xian J. Zhang N. T. O'Neill J. S. Reid T. D. Toth B. Sorenson E. J. Hyer J. R. Campbell K. Ranjbar Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes |
topic_facet |
Physics QC1-999 Chemistry QD1-999 |
description |
In a companion paper (Xian et al., 2022, part 1 of the study), we present an Arctic aerosol optical depth (AOD) climatology and trend analysis for 2003–2019 spring and summertime periods derived from a combination of aerosol reanalyses, remote-sensing retrievals, and ground observations. Continued from the previous discussion and as the second part of the study, we report the statistics and trends of Arctic AOD extreme events using the U.S. Navy Aerosol Analysis and Prediction System ReAnalysis version 1 (NAAPS-RA v1), the sun photometer data from the AErosol RObotic NETwork (AERONET) sites, and the oceanic Maritime Aerosol Network (MAN) measurements. Here, extreme AOD events are defined as events with AOD exceeding the 95th percentile (denoted “AOD 95 ”) of AOD distributions for given locations using 6-hourly or daily AOD data. While AERONET and MAN data estimate the Arctic median 550 nm AOD value to be 0.07, the 95th percentile value is 0.24. Such extreme events are dominated by fine-mode aerosol particles, largely attributable to biomass burning (BB) smoke events for the North American Arctic, the Asian Arctic, and most areas of the Arctic Ocean. However, extreme AOD events for the lower European Arctic are more attributable to anthropogenic and biogenic fine particles. The extreme-event occurrence dominance of sea salt is largely limited to the North Atlantic and Norwegian Sea. The extreme AOD amplitudes of anthropogenic and biogenic fine-mode and sea salt AOD are, however, significantly lower than those regions where extreme smoke AOD is dominant. Even for sites distant from BB source regions, BB smoke is the principal driver of AOD variation above the AOD 95 threshold. Maximum AOD values in the high Arctic in 2010–2019 have increased compared to 2003–2009, indicating stronger extreme BB smoke influence in more recent years. The occurrence of extreme smoke events tended to be more equally distributed over all months (April–August) during the 2003–2009 period while being more concentrated in the late season ... |
format |
Article in Journal/Newspaper |
author |
P. Xian J. Zhang N. T. O'Neill J. S. Reid T. D. Toth B. Sorenson E. J. Hyer J. R. Campbell K. Ranjbar |
author_facet |
P. Xian J. Zhang N. T. O'Neill J. S. Reid T. D. Toth B. Sorenson E. J. Hyer J. R. Campbell K. Ranjbar |
author_sort |
P. Xian |
title |
Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes |
title_short |
Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes |
title_full |
Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes |
title_fullStr |
Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes |
title_full_unstemmed |
Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes |
title_sort |
arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – part 2: statistics of extreme aod events, and implications for the impact of regional biomass burning processes |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/acp-22-9949-2022 https://doaj.org/article/e61a12e988694586815b6438e4bbb6a3 |
geographic |
Arctic Arctic Ocean Norwegian Sea |
geographic_facet |
Arctic Arctic Ocean Norwegian Sea |
genre |
Aerosol Robotic Network Arctic Arctic Ocean North Atlantic Norwegian Sea |
genre_facet |
Aerosol Robotic Network Arctic Arctic Ocean North Atlantic Norwegian Sea |
op_source |
Atmospheric Chemistry and Physics, Vol 22, Pp 9949-9967 (2022) |
op_relation |
https://acp.copernicus.org/articles/22/9949/2022/acp-22-9949-2022.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-22-9949-2022 1680-7316 1680-7324 https://doaj.org/article/e61a12e988694586815b6438e4bbb6a3 |
op_doi |
https://doi.org/10.5194/acp-22-9949-2022 |
container_title |
Atmospheric Chemistry and Physics |
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22 |
container_issue |
15 |
container_start_page |
9949 |
op_container_end_page |
9967 |
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