Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution
Abstract
The impact of the uncertainty in injection height of anthropogenic emissions is examined using a global aerosol-climate model. We find a large impact of the assumed effective emission height on near-surface concentration and vertical profile of SO2. The global range of SO2 concentration over land (ocean) due to uncertainty in industrial (international shipping) emission injection height is 81% (76%), relative to the average concentration, whereas the relative range of secondary sulfate is 8% (10%) and primary aerosols such as black carbon and primary organic matter is 53% (28%). During 2005–2014, uncertainty in modeled SO2 and aerosols related to injection heights became increasingly important over East Asia and South Asia. This study reveals different impacts of emission injection height uncertainty on modeling of gases, primary aerosols and secondary aerosols and helps with interpretation of discrepancies between model, measurements and satellite retrievals.
- Authors:
-
[1];
[2];
[1];
[1];
[1]
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Pacific Northwest National Lab. (PNNL), College Park, MD (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1528914
- Alternate Identifier(s):
- OSTI ID: 1510106; OSTI ID: 1543308
- Report Number(s):
- PNNL-SA-137329
Journal ID: ISSN 2169-897X
- Grant/Contract Number:
- AC05‐76RL01830; AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research: Atmospheres
- Additional Journal Information:
- Journal Volume: 124; Journal Issue: 8; Journal ID: ISSN 2169-897X
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; aerosol; injection height; emission; model
Citation Formats
Yang, Yang, Smith, Steven J., Wang, Hailong, Lou, Sijia, and Rasch, Philip J. Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution. United States: N. p., 2019.
Web. doi:10.1029/2018JD030001.
Yang, Yang, Smith, Steven J., Wang, Hailong, Lou, Sijia, & Rasch, Philip J. Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution. United States. https://doi.org/10.1029/2018JD030001
Yang, Yang, Smith, Steven J., Wang, Hailong, Lou, Sijia, and Rasch, Philip J. Sat .
"Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution". United States. https://doi.org/10.1029/2018JD030001. https://www.osti.gov/servlets/purl/1528914.
@article{osti_1528914,
title = {Impact of Anthropogenic Emission Injection Height Uncertainty on Global Sulfur Dioxide and Aerosol Distribution},
author = {Yang, Yang and Smith, Steven J. and Wang, Hailong and Lou, Sijia and Rasch, Philip J.},
abstractNote = {The impact of the uncertainty in injection height of anthropogenic emissions is examined using a global aerosol-climate model. We find a large impact of the assumed effective emission height on near-surface concentration and vertical profile of SO2. The global range of SO2 concentration over land (ocean) due to uncertainty in industrial (international shipping) emission injection height is 81% (76%), relative to the average concentration, whereas the relative range of secondary sulfate is 8% (10%) and primary aerosols such as black carbon and primary organic matter is 53% (28%). During 2005–2014, uncertainty in modeled SO2 and aerosols related to injection heights became increasingly important over East Asia and South Asia. This study reveals different impacts of emission injection height uncertainty on modeling of gases, primary aerosols and secondary aerosols and helps with interpretation of discrepancies between model, measurements and satellite retrievals.},
doi = {10.1029/2018JD030001},
journal = {Journal of Geophysical Research: Atmospheres},
number = 8,
volume = 124,
place = {United States},
year = {Sat Apr 13 00:00:00 EDT 2019},
month = {Sat Apr 13 00:00:00 EDT 2019}
}
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Works referencing / citing this record:
Exploring 2016–2017 surface ozone pollution over China: source contributions and meteorological influences
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