Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing
Satellite aerosol optical depth (AOD) is widely used to estimate particulate matter with aerodynamic diameter ≤2.5 µm (PM2.5) mass concentrations. Polar orbiting satellite retrieval 1–2 times each day is frequently affected by cloud, snow cover or misclassification of heavy pollution. Novel methods...
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ftpubmed:oai:pubmedcentral.nih.gov:6033905 2023-05-15T13:06:22+02:00 Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing Fu, Disong Xia, Xiangao Wang, Jun Zhang, Xiaoling Li, Xiaojing Liu, Jianzhong 2018-07-05 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033905/ http://www.ncbi.nlm.nih.gov/pubmed/29977000 https://doi.org/10.1038/s41598-018-28535-2 en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033905/ http://www.ncbi.nlm.nih.gov/pubmed/29977000 http://dx.doi.org/10.1038/s41598-018-28535-2 © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. CC-BY Article Text 2018 ftpubmed https://doi.org/10.1038/s41598-018-28535-2 2018-07-15T00:23:24Z Satellite aerosol optical depth (AOD) is widely used to estimate particulate matter with aerodynamic diameter ≤2.5 µm (PM2.5) mass concentrations. Polar orbiting satellite retrieval 1–2 times each day is frequently affected by cloud, snow cover or misclassification of heavy pollution. Novel methods are therefore required to improve AOD sampling. Sunphotometer provides much more AODs than satellite at a fixed point. Furthermore, much of the aerosol pollution is regional. Both factors indicate that sunphotometer has great potential for PM2.5 concentration estimation. The spatial representativeness of the Aerosol Robotic Network (AERONET) AOD at Beijing site is investigated by linear regression analysis of 13-year daily paired AODs at each grid from Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua and Beijing AERONET. The result suggests a good correlation for the whole Beijing Administrative region, with regional mean correlation coefficient exceeding 0.73. Pixel AODs are then estimated from AERONET AOD using linear equations, which are verified to have the same accuracy as that of MODIS AOD. Either AOD from MODIS retrieval or estimation from AERONET AOD in the absence of MODIS pixel AOD is finally used to predict PM2.5 concentration. Daily AOD sampling in average is enhanced by 59% in winter when MODIS AODs are very limited. More importantly, synergy of AERONET and MODIS AOD is able to improve the estimation of regional mean PM2.5 concentrations, which indicates this method would play a significant role in monitoring regional aerosol pollution. Text Aerosol Robotic Network PubMed Central (PMC) Scientific Reports 8 1 |
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Article Fu, Disong Xia, Xiangao Wang, Jun Zhang, Xiaoling Li, Xiaojing Liu, Jianzhong Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing |
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Satellite aerosol optical depth (AOD) is widely used to estimate particulate matter with aerodynamic diameter ≤2.5 µm (PM2.5) mass concentrations. Polar orbiting satellite retrieval 1–2 times each day is frequently affected by cloud, snow cover or misclassification of heavy pollution. Novel methods are therefore required to improve AOD sampling. Sunphotometer provides much more AODs than satellite at a fixed point. Furthermore, much of the aerosol pollution is regional. Both factors indicate that sunphotometer has great potential for PM2.5 concentration estimation. The spatial representativeness of the Aerosol Robotic Network (AERONET) AOD at Beijing site is investigated by linear regression analysis of 13-year daily paired AODs at each grid from Moderate Resolution Imaging Spectroradiometer (MODIS) on Aqua and Beijing AERONET. The result suggests a good correlation for the whole Beijing Administrative region, with regional mean correlation coefficient exceeding 0.73. Pixel AODs are then estimated from AERONET AOD using linear equations, which are verified to have the same accuracy as that of MODIS AOD. Either AOD from MODIS retrieval or estimation from AERONET AOD in the absence of MODIS pixel AOD is finally used to predict PM2.5 concentration. Daily AOD sampling in average is enhanced by 59% in winter when MODIS AODs are very limited. More importantly, synergy of AERONET and MODIS AOD is able to improve the estimation of regional mean PM2.5 concentrations, which indicates this method would play a significant role in monitoring regional aerosol pollution. |
format |
Text |
author |
Fu, Disong Xia, Xiangao Wang, Jun Zhang, Xiaoling Li, Xiaojing Liu, Jianzhong |
author_facet |
Fu, Disong Xia, Xiangao Wang, Jun Zhang, Xiaoling Li, Xiaojing Liu, Jianzhong |
author_sort |
Fu, Disong |
title |
Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing |
title_short |
Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing |
title_full |
Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing |
title_fullStr |
Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing |
title_full_unstemmed |
Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing |
title_sort |
synergy of aeronet and modis aod products in the estimation of pm2.5 concentrations in beijing |
publisher |
Nature Publishing Group UK |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033905/ http://www.ncbi.nlm.nih.gov/pubmed/29977000 https://doi.org/10.1038/s41598-018-28535-2 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033905/ http://www.ncbi.nlm.nih.gov/pubmed/29977000 http://dx.doi.org/10.1038/s41598-018-28535-2 |
op_rights |
© The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
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CC-BY |
op_doi |
https://doi.org/10.1038/s41598-018-28535-2 |
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Scientific Reports |
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