Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia

The spatiotemporal distributions of aerosol optical properties and major aerosol types, along with the vertical distribution of major aerosol types over Australia, are investigated based on multi-year Aerosol Robotic Network (AERONET) observations at nine sites, the Moderate Resolution Imaging Spect...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Yang, Xingchuan, Zhao, Chuanfeng, Yang, Yikun, Fan, Hao
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2021
Subjects:
Online Access:https://doi.org/10.5194/acp-21-3803-2021
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00055919 2024-09-15T17:35:16+00:00 Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia Yang, Xingchuan Zhao, Chuanfeng Yang, Yikun Fan, Hao 2021-03 electronic https://doi.org/10.5194/acp-21-3803-2021 https://noa.gwlb.de/receive/cop_mods_00055919 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055570/acp-21-3803-2021.pdf https://acp.copernicus.org/articles/21/3803/2021/acp-21-3803-2021.pdf eng eng Copernicus Publications Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324 https://doi.org/10.5194/acp-21-3803-2021 https://noa.gwlb.de/receive/cop_mods_00055919 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055570/acp-21-3803-2021.pdf https://acp.copernicus.org/articles/21/3803/2021/acp-21-3803-2021.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2021 ftnonlinearchiv https://doi.org/10.5194/acp-21-3803-2021 2024-06-26T04:41:37Z The spatiotemporal distributions of aerosol optical properties and major aerosol types, along with the vertical distribution of major aerosol types over Australia, are investigated based on multi-year Aerosol Robotic Network (AERONET) observations at nine sites, the Moderate Resolution Imaging Spectroradiometer (MODIS), Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2), Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), and back-trajectory analysis from the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT). During the observation period from 2001–2020, the annual aerosol optical depth (AOD) at most sites showed increasing trends (0.002–0.029 yr−1), except for that at three sites, Canberra, Jabiru, and Lake Argyle, which showed decreasing trends (−0.004 to −0.014 yr−1). In contrast, the annual Ångström exponent (AE) showed decreasing tendencies at most sites (−0.045 to −0.005 yr−1). The results showed strong seasonal variations in AOD, with high values in the austral spring and summer and relatively low values in the austral fall and winter, and weak seasonal variations in AE, with the highest mean values in the austral spring at most sites. Monthly average AOD increases from August to December or the following January and decreases during March–July. Spatially, the MODIS AOD showed obvious spatial heterogeneity, with high values appearing over the Australian tropical savanna regions, Lake Eyre Basin, and southeastern regions of Australia, while low values appeared over the arid regions in western Australia. MERRA-2 showed that carbonaceous aerosol over northern Australia, dust over central Australia, sulfate over densely populated northwestern and southeastern Australia, and sea salt over Australian coastal regions are the major types of atmospheric aerosols. The nine ground-based AERONET sites over Australia showed that the mixed type of aerosols (biomass burning and dust) is dominant in all seasons. Moreover, Cloud-Aerosol Lidar and Infrared Pathfinder ... Article in Journal/Newspaper Aerosol Robotic Network Niedersächsisches Online-Archiv NOA Atmospheric Chemistry and Physics 21 5 3803 3825
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Yang, Xingchuan
Zhao, Chuanfeng
Yang, Yikun
Fan, Hao
Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia
topic_facet article
Verlagsveröffentlichung
description The spatiotemporal distributions of aerosol optical properties and major aerosol types, along with the vertical distribution of major aerosol types over Australia, are investigated based on multi-year Aerosol Robotic Network (AERONET) observations at nine sites, the Moderate Resolution Imaging Spectroradiometer (MODIS), Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2), Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), and back-trajectory analysis from the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT). During the observation period from 2001–2020, the annual aerosol optical depth (AOD) at most sites showed increasing trends (0.002–0.029 yr−1), except for that at three sites, Canberra, Jabiru, and Lake Argyle, which showed decreasing trends (−0.004 to −0.014 yr−1). In contrast, the annual Ångström exponent (AE) showed decreasing tendencies at most sites (−0.045 to −0.005 yr−1). The results showed strong seasonal variations in AOD, with high values in the austral spring and summer and relatively low values in the austral fall and winter, and weak seasonal variations in AE, with the highest mean values in the austral spring at most sites. Monthly average AOD increases from August to December or the following January and decreases during March–July. Spatially, the MODIS AOD showed obvious spatial heterogeneity, with high values appearing over the Australian tropical savanna regions, Lake Eyre Basin, and southeastern regions of Australia, while low values appeared over the arid regions in western Australia. MERRA-2 showed that carbonaceous aerosol over northern Australia, dust over central Australia, sulfate over densely populated northwestern and southeastern Australia, and sea salt over Australian coastal regions are the major types of atmospheric aerosols. The nine ground-based AERONET sites over Australia showed that the mixed type of aerosols (biomass burning and dust) is dominant in all seasons. Moreover, Cloud-Aerosol Lidar and Infrared Pathfinder ...
format Article in Journal/Newspaper
author Yang, Xingchuan
Zhao, Chuanfeng
Yang, Yikun
Fan, Hao
author_facet Yang, Xingchuan
Zhao, Chuanfeng
Yang, Yikun
Fan, Hao
author_sort Yang, Xingchuan
title Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia
title_short Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia
title_full Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia
title_fullStr Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia
title_full_unstemmed Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia
title_sort long-term multi-source data analysis about the characteristics of aerosol optical properties and types over australia
publisher Copernicus Publications
publishDate 2021
url https://doi.org/10.5194/acp-21-3803-2021
https://noa.gwlb.de/receive/cop_mods_00055919
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055570/acp-21-3803-2021.pdf
https://acp.copernicus.org/articles/21/3803/2021/acp-21-3803-2021.pdf
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation Atmospheric Chemistry and Physics -- http://www.atmos-chem-phys.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2069847 -- 1680-7324
https://doi.org/10.5194/acp-21-3803-2021
https://noa.gwlb.de/receive/cop_mods_00055919
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00055570/acp-21-3803-2021.pdf
https://acp.copernicus.org/articles/21/3803/2021/acp-21-3803-2021.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
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op_doi https://doi.org/10.5194/acp-21-3803-2021
container_title Atmospheric Chemistry and Physics
container_volume 21
container_issue 5
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