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...
Published in: | Atmospheric Chemistry and Physics |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2021
|
Subjects: | |
Online Access: | 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 |
id |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00055919 |
---|---|
record_format |
openpolar |
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/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/acp-21-3803-2021 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
21 |
container_issue |
5 |
container_start_page |
3803 |
op_container_end_page |
3825 |
_version_ |
1810448386600468480 |