Articles | Volume 20, issue 23
https://doi.org/10.5194/acp-20-15401-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-15401-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2020
Research article |
| 11 Dec 2020
| 11 Dec 2020
Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models
Shuo Wang
School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, 519000, China
School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, 519000, China
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, 519000, China
Chuyong Lin
School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, 519000, China
Weizhi Deng
School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai, 519000, China
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- Spatio-temporal changes of AOD in Xinjiang of China from 2000 to 2019: Which factor is more influential, natural factor or human factor? J. Li et al. 10.1371/journal.pone.0253942
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18 citations as recorded by crossref.
- Accounting for NOx emissions from biomass burning and urbanization doubles existing inventories over South, Southeast and East Asia J. Liu et al. 10.1038/s43247-024-01424-5
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- Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
- Smoke Injection Heights from Forest and Grassland Fires in Southwest China Observed by CALIPSO W. Wang et al. 10.3390/f13030390
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- Two trans-boundary aerosol transport episodes in the western Yangtze River Delta, China: A perspective from ground-based lidar observation H. Yang et al. 10.1016/j.apr.2021.01.004
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- Time series trends and correlations of aerosol optical depth and cloud parameters over Addis Ababa G. Yirga et al. 10.3389/feart.2024.1452075
- Remotely sensed BC columns over rapidly changing Western China show significant decreases in mass and inconsistent changes in number, size, and mixing properties due to policy actions Z. Liu et al. 10.1038/s41612-024-00663-9
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- Spatio-temporal changes of AOD in Xinjiang of China from 2000 to 2019: Which factor is more influential, natural factor or human factor? J. Li et al. 10.1371/journal.pone.0253942
- Remotely sensed and surface measurement- derived mass-conserving inversion of daily NOx emissions and inferred combustion technologies in energy-rich northern China X. Li et al. 10.5194/acp-23-8001-2023
- Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model S. Wang et al. 10.1029/2021GL094300
- Aloft Transport of Haze Aerosols to Xuzhou, Eastern China: Optical Properties, Sources, Type, and Components K. Qin et al. 10.3390/rs14071589
- Application of a combined standard deviation and mean based approach to MOPITT CO column data, and resulting improved representation of biomass burning and urban air pollution sources C. Lin et al. 10.1016/j.rse.2020.111720
- New top-down estimation of daily mass and number column density of black carbon driven by OMI and AERONET observations J. Liu et al. 10.1016/j.rse.2024.114436
- Model-free daily inversion of NOx emissions using TROPOMI (MCMFE-NOx) and its uncertainty: Declining regulated emissions and growth of new sources K. Qin et al. 10.1016/j.rse.2023.113720
- Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements Q. He et al. 10.1088/1748-9326/abc7df
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Latest update: 12 Nov 2024
Short summary
We analyze global measurements of aerosol height from fires. A plume rise model reproduces measurements with a low bias in five regions, while a statistical model based on satellite measurements of trace gasses co-emitted from the fires reproduces measurements without bias in eight regions. We propose that the magnitude of the pollutants emitted may impact their height and subsequent downwind transport. Using satellite data allows better modeling of the global aerosol distribution.
We analyze global measurements of aerosol height from fires. A plume rise model reproduces...
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