Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012-2019)
We analyzed annual and seasonal frequency in aerosol type over an 8-year period (2012-2019) to identify aerosol parameter trends over four ground sites and country regions in Korea, China, and Japan by using the Aerosol Robotic Network (AERONET), and the satellite-based Visible Infrared Imaging Radi...
Published in: | Atmospheric Research |
---|---|
Main Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
ELSEVIER SCIENCE INC
2022
|
Subjects: | |
Online Access: | https://scholarworks.unist.ac.kr/handle/201301/59987 https://doi.org/10.1016/j.atmosres.2022.106457 |
id |
ftuisanist:oai:scholarworks.unist.ac.kr:201301/59987 |
---|---|
record_format |
openpolar |
spelling |
ftuisanist:oai:scholarworks.unist.ac.kr:201301/59987 2023-05-15T13:07:11+02:00 Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012-2019) Eom, Sujin Kim, Jhoon Lee, Seoyoung Holben, Brent N. Eck, Thomas F. Park, Sung -Bin Park, Sang Seo 2022-12 https://scholarworks.unist.ac.kr/handle/201301/59987 https://doi.org/10.1016/j.atmosres.2022.106457 ?????? unknown ELSEVIER SCIENCE INC ATMOSPHERIC RESEARCH, v.280, pp.106457 0169-8095 https://scholarworks.unist.ac.kr/handle/201301/59987 41681 2-s2.0-85139056472 000866477500002 doi:10.1016/j.atmosres.2022.106457 ARTICLE ART 2022 ftuisanist https://doi.org/10.1016/j.atmosres.2022.106457 2022-11-18T01:30:52Z We analyzed annual and seasonal frequency in aerosol type over an 8-year period (2012-2019) to identify aerosol parameter trends over four ground sites and country regions in Korea, China, and Japan by using the Aerosol Robotic Network (AERONET), and the satellite-based Visible Infrared Imaging Radiometer Suite (VIIRS) and Ozone Monitoring Instrument (OMI). Decreasing trends are shown for aerosol optical depth (AOD), angstrom ng-stro center dot m exponent (AE), and fine mode fraction (FMF) in all countries. The decreasing trend in these data is considered to be due to a decrease in anthropogenic emissions. For the aerosol type frequency, decreases in the proportions of carbonaceous aerosols (CA) and non-absorbing aerosols (NA) were shown in the ground and satellite data, respectively. At most sites, the fractions of low AOD case (LOW) increased, whereas those of the Black and Brown Carbon (BC + BrC) category decreased. In Seoul, the fraction of LOW increased from 48.9% to 70.0%, and that of BC + BrC decreased continuously from 20.4% to 11.1% during 2012-2019. Beijing, on the other hand, showed decreasing LOW from 83.3% (2012) to 52.0% (2019), and that of BC + BrC increased significantly, from 2.4% to 26.2%. The satellite data showed that the percentage of LOW increased continuously, while that of NA aerosols decreased continuously in East Asia. A noticeable decrease in the fraction of CA was detected in China [21.5% (2013) to 11.2% (2019)]. In all countries, CA and NA aerosols had the greatest effect in winter and summer, respectively. We also detected significant differences between the fractions of NA and BC between the ground and satellite data. Changes in aerosol type and properties were observed concurrently in all ground and satellite data, and changes in aerosol type may explain the increasing and decreasing trends that we recorded for most parameters. Consistent results from both ground and satellite data suggest a steady decreasing in fine aerosol pollution in East Asia. Article in Journal/Newspaper Aerosol Robotic Network ScholarWorks@UNIST (Ulsan National Institute of Science and Technology) Atmospheric Research 280 106457 |
institution |
Open Polar |
collection |
ScholarWorks@UNIST (Ulsan National Institute of Science and Technology) |
op_collection_id |
ftuisanist |
language |
unknown |
description |
We analyzed annual and seasonal frequency in aerosol type over an 8-year period (2012-2019) to identify aerosol parameter trends over four ground sites and country regions in Korea, China, and Japan by using the Aerosol Robotic Network (AERONET), and the satellite-based Visible Infrared Imaging Radiometer Suite (VIIRS) and Ozone Monitoring Instrument (OMI). Decreasing trends are shown for aerosol optical depth (AOD), angstrom ng-stro center dot m exponent (AE), and fine mode fraction (FMF) in all countries. The decreasing trend in these data is considered to be due to a decrease in anthropogenic emissions. For the aerosol type frequency, decreases in the proportions of carbonaceous aerosols (CA) and non-absorbing aerosols (NA) were shown in the ground and satellite data, respectively. At most sites, the fractions of low AOD case (LOW) increased, whereas those of the Black and Brown Carbon (BC + BrC) category decreased. In Seoul, the fraction of LOW increased from 48.9% to 70.0%, and that of BC + BrC decreased continuously from 20.4% to 11.1% during 2012-2019. Beijing, on the other hand, showed decreasing LOW from 83.3% (2012) to 52.0% (2019), and that of BC + BrC increased significantly, from 2.4% to 26.2%. The satellite data showed that the percentage of LOW increased continuously, while that of NA aerosols decreased continuously in East Asia. A noticeable decrease in the fraction of CA was detected in China [21.5% (2013) to 11.2% (2019)]. In all countries, CA and NA aerosols had the greatest effect in winter and summer, respectively. We also detected significant differences between the fractions of NA and BC between the ground and satellite data. Changes in aerosol type and properties were observed concurrently in all ground and satellite data, and changes in aerosol type may explain the increasing and decreasing trends that we recorded for most parameters. Consistent results from both ground and satellite data suggest a steady decreasing in fine aerosol pollution in East Asia. |
format |
Article in Journal/Newspaper |
author |
Eom, Sujin Kim, Jhoon Lee, Seoyoung Holben, Brent N. Eck, Thomas F. Park, Sung -Bin Park, Sang Seo |
spellingShingle |
Eom, Sujin Kim, Jhoon Lee, Seoyoung Holben, Brent N. Eck, Thomas F. Park, Sung -Bin Park, Sang Seo Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012-2019) |
author_facet |
Eom, Sujin Kim, Jhoon Lee, Seoyoung Holben, Brent N. Eck, Thomas F. Park, Sung -Bin Park, Sang Seo |
author_sort |
Eom, Sujin |
title |
Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012-2019) |
title_short |
Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012-2019) |
title_full |
Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012-2019) |
title_fullStr |
Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012-2019) |
title_full_unstemmed |
Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012-2019) |
title_sort |
long-term variation of aerosol optical properties associated with aerosol types over east asia using aeronet and satellite (viirs, omi) data (2012-2019) |
publisher |
ELSEVIER SCIENCE INC |
publishDate |
2022 |
url |
https://scholarworks.unist.ac.kr/handle/201301/59987 https://doi.org/10.1016/j.atmosres.2022.106457 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
ATMOSPHERIC RESEARCH, v.280, pp.106457 0169-8095 https://scholarworks.unist.ac.kr/handle/201301/59987 41681 2-s2.0-85139056472 000866477500002 doi:10.1016/j.atmosres.2022.106457 |
op_doi |
https://doi.org/10.1016/j.atmosres.2022.106457 |
container_title |
Atmospheric Research |
container_volume |
280 |
container_start_page |
106457 |
_version_ |
1766039172779343872 |