Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China
Rapid industrialization and urbanization significantly contribute to air pollution in China. Essential constituents of air pollution are fine and coarse particulate matter which are the total mass of aerosol particles with aerodynamic diameters smaller than ≤2.5 μm (PM2.5) and ≤10 μm (PM10), respect...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English English |
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Elsevier Ltd
2022
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| Online Access: | https://eprints.ums.edu.my/id/eprint/34220/1/Full-text.pdf https://eprints.ums.edu.my/id/eprint/34220/2/Abstract.pdf |
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| author | Md. ArfanAli Muhammad Bilal Yu Wang Janet E. Nichol Alaa Mhawish Zhongfeng Qiu Gerrit de Leeuw Yuanzhi Zhang Yating Zhan Kuo Liao Mansour Almazroui Ramzah Dambul Shamsuddin Shahid M. Nazrul Islam |
| author_facet | Md. ArfanAli Muhammad Bilal Yu Wang Janet E. Nichol Alaa Mhawish Zhongfeng Qiu Gerrit de Leeuw Yuanzhi Zhang Yating Zhan Kuo Liao Mansour Almazroui Ramzah Dambul Shamsuddin Shahid M. Nazrul Islam |
| author_sort | Md. ArfanAli |
| collection | UMS |
| description | Rapid industrialization and urbanization significantly contribute to air pollution in China. Essential constituents of air pollution are fine and coarse particulate matter which are the total mass of aerosol particles with aerodynamic diameters smaller than ≤2.5 μm (PM2.5) and ≤10 μm (PM10), respectively. These particles may cause severe health effects, and impact the atmospheric environment and climate. However, the limited number of ground-based measurements at sparsely distributed air quality monitoring stations hamper long-term air pollution impact studies over large areas. Although spatial data on PM2.5 and PM10 are available from reanalysis models, the accuracy of such data may be reduced in comparison with ground data and may vary regionally and seasonally. Therefore, a long-term evaluation of reanalysis-based PM2.5 and PM10 against ground-based measurements is needed for China. In this study, surface-level PM2.5 and PM10 concentrations from 2014 to 2020 obtained from the Copernicus Atmospheric Monitoring Service (CAMS), and from the second version of Modern-Era Retrospective analysis for Research and Applications (MERRA-2) were evaluated using ground-based measurements obtained from 1675 air quality monitoring stations distributed across China. High PM2.5 and PM10 (μg/m3) concentrations from ground-based measurements were observed in many parts of China (including the North China Plain: NCP, Yangtse River Delta:YRD, Pearl River Delta: PRD, Central China, Sichuan Basin: SB, and northwestern region: Tarim Basin). The patterns of the spatial distributions of PM2.5 and PM10 obtained from CAMS and MERRA-2 across China are similar to those of the ground-based monitoring data, but the concentrations from both models are substantially different. CAMS significantly overestimates PM2.5 and PM10 over most regions, in particular over urban and desert areas, whereas MERRA-2 seasonal and annual mean concentrations were more accurate over the highly polluted areas in central and eastern China. The lowest PM2.5 and PM10 concentrations were observed over the Tibetan Plateau and Qinghai, where CAMS and MERRA-2 datasets were substantially underestimated. Furthermore, both CAMS and MERRA-2 under-and over-estimate the PM concentrations in both low and high pollution conditions. Overall, this study contributes to understanding of the reliability of reanalysis data and provides a baseline document for improving the CAMS and MERRA-2 datasets for studying local and regional air quality in China. |
| first_indexed | 2024-03-06T03:20:23Z |
| format | Article |
| id | ums.eprints-34220 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:20:23Z |
| publishDate | 2022 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | ums.eprints-342202022-09-26T00:55:36Z https://eprints.ums.edu.my/id/eprint/34220/ Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China Md. ArfanAli Muhammad Bilal Yu Wang Janet E. Nichol Alaa Mhawish Zhongfeng Qiu Gerrit de Leeuw Yuanzhi Zhang Yating Zhan Kuo Liao Mansour Almazroui Ramzah Dambul Shamsuddin Shahid M. Nazrul Islam Q1-390 Science (General) Rapid industrialization and urbanization significantly contribute to air pollution in China. Essential constituents of air pollution are fine and coarse particulate matter which are the total mass of aerosol particles with aerodynamic diameters smaller than ≤2.5 μm (PM2.5) and ≤10 μm (PM10), respectively. These particles may cause severe health effects, and impact the atmospheric environment and climate. However, the limited number of ground-based measurements at sparsely distributed air quality monitoring stations hamper long-term air pollution impact studies over large areas. Although spatial data on PM2.5 and PM10 are available from reanalysis models, the accuracy of such data may be reduced in comparison with ground data and may vary regionally and seasonally. Therefore, a long-term evaluation of reanalysis-based PM2.5 and PM10 against ground-based measurements is needed for China. In this study, surface-level PM2.5 and PM10 concentrations from 2014 to 2020 obtained from the Copernicus Atmospheric Monitoring Service (CAMS), and from the second version of Modern-Era Retrospective analysis for Research and Applications (MERRA-2) were evaluated using ground-based measurements obtained from 1675 air quality monitoring stations distributed across China. High PM2.5 and PM10 (μg/m3) concentrations from ground-based measurements were observed in many parts of China (including the North China Plain: NCP, Yangtse River Delta:YRD, Pearl River Delta: PRD, Central China, Sichuan Basin: SB, and northwestern region: Tarim Basin). The patterns of the spatial distributions of PM2.5 and PM10 obtained from CAMS and MERRA-2 across China are similar to those of the ground-based monitoring data, but the concentrations from both models are substantially different. CAMS significantly overestimates PM2.5 and PM10 over most regions, in particular over urban and desert areas, whereas MERRA-2 seasonal and annual mean concentrations were more accurate over the highly polluted areas in central and eastern China. The lowest PM2.5 and PM10 concentrations were observed over the Tibetan Plateau and Qinghai, where CAMS and MERRA-2 datasets were substantially underestimated. Furthermore, both CAMS and MERRA-2 under-and over-estimate the PM concentrations in both low and high pollution conditions. Overall, this study contributes to understanding of the reliability of reanalysis data and provides a baseline document for improving the CAMS and MERRA-2 datasets for studying local and regional air quality in China. Elsevier Ltd 2022 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/34220/1/Full-text.pdf text en https://eprints.ums.edu.my/id/eprint/34220/2/Abstract.pdf Md. ArfanAli and Muhammad Bilal and Yu Wang and Janet E. Nichol and Alaa Mhawish and Zhongfeng Qiu and Gerrit de Leeuw and Yuanzhi Zhang and Yating Zhan and Kuo Liao and Mansour Almazroui and Ramzah Dambul and Shamsuddin Shahid and M. Nazrul Islam (2022) Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China. Atmospheric Environment, 288. p. 1. ISSN 1352-2310 https://www.sciencedirect.com/science/article/abs/pii/S1352231022003624?via%3Dihub https://doi.org/10.1016/j.atmosenv.2022.119297 https://doi.org/10.1016/j.atmosenv.2022.119297 |
| spellingShingle | Q1-390 Science (General) Md. ArfanAli Muhammad Bilal Yu Wang Janet E. Nichol Alaa Mhawish Zhongfeng Qiu Gerrit de Leeuw Yuanzhi Zhang Yating Zhan Kuo Liao Mansour Almazroui Ramzah Dambul Shamsuddin Shahid M. Nazrul Islam Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China |
| title | Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China |
| title_full | Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China |
| title_fullStr | Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China |
| title_full_unstemmed | Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China |
| title_short | Accuracy assessment of CAMS and MERRA-2 reanalysis PM2.5 and PM10 concentrations over China |
| title_sort | accuracy assessment of cams and merra 2 reanalysis pm2 5 and pm10 concentrations over china |
| topic | Q1-390 Science (General) |
| url | https://eprints.ums.edu.my/id/eprint/34220/1/Full-text.pdf https://eprints.ums.edu.my/id/eprint/34220/2/Abstract.pdf |
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