Articles | Volume 15, issue 22
https://doi.org/10.5194/acp-15-12805-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-12805-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Nov 2015
Research article |
| 18 Nov 2015
Quantifying sources of black carbon in western North America using observationally based analysis and an emission tagging technique in the Community Atmosphere Model
R. Zhang
CORRESPONDING AUTHOR
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Richland, WA 99352, USA
Institute for Climate and Global Change Research & School of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China
Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing, 210023, China
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Richland, WA 99352, USA
D. A. Hegg
Department of Atmospheric Sciences, Box 351640, University of Washington, Seattle, WA 98195, USA
Y. Qian
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Richland, WA 99352, USA
S. J. Doherty
Joint Institute for the Study of Atmosphere and Ocean, 3737 Brooklyn Ave NE, Seattle, WA 98195, USA
Department of Atmospheric Sciences, Box 351640, University of Washington, Seattle, WA 98195, USA
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Richland, WA 99352, USA
P. J. Rasch
Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Richland, WA 99352, USA
Q. Fu
Department of Atmospheric Sciences, Box 351640, University of Washington, Seattle, WA 98195, USA
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, Gansu, China
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Cited
13 citations as recorded by crossref.
- Source Apportionments of Aerosols and Their Direct Radiative Forcing and Long‐Term Trends Over Continental United States Y. Yang et al. 10.1029/2018EF000859
- Variability, timescales, and nonlinearity in climate responses to black carbon emissions Y. Yang et al. 10.5194/acp-19-2405-2019
- Measurements of light‐absorbing particles in snow across the Arctic, North America, and China: Effects on surface albedo C. Dang et al. 10.1002/2017JD027070
- A review of black carbon in snow and ice and its impact on the cryosphere S. Kang et al. 10.1016/j.earscirev.2020.103346
- Source attribution of black carbon and its direct radiative forcing in China Y. Yang et al. 10.5194/acp-17-4319-2017
- Seasonal variations and sources of atmospheric polycyclic aromatic hydrocarbons and organochlorine compounds in a high-altitude city: Evidence from four-year observations P. Gong et al. 10.1016/j.envpol.2017.10.064
- A comprehensive appraisal on the effect of aerosol on mountain glaciers: special reference to Sikkim Himalayan region of India S. Kumari & A. Middey 10.1007/s12046-023-02097-0
- Regional and Sectoral Sources for Black Carbon Over South China in Spring and Their Sensitivity to East Asian Summer Monsoon Onset C. Fang et al. 10.1029/2020JD033219
- Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. 10.1029/2019MS001851
- CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM) H. Wan et al. 10.5194/gmd-15-3205-2022
- Impacts of absorbing aerosol deposition on snowpack and hydrologic cycle in the Rocky Mountain region based on variable-resolution CESM (VR-CESM) simulations C. Wu et al. 10.5194/acp-18-511-2018
- Aerosol transport pathways and source attribution in China during the COVID-19 outbreak L. Ren et al. 10.5194/acp-21-15431-2021
- Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect H. Brown et al. 10.1029/2021MS002768
12 citations as recorded by crossref.
- Source Apportionments of Aerosols and Their Direct Radiative Forcing and Long‐Term Trends Over Continental United States Y. Yang et al. 10.1029/2018EF000859
- Variability, timescales, and nonlinearity in climate responses to black carbon emissions Y. Yang et al. 10.5194/acp-19-2405-2019
- Measurements of light‐absorbing particles in snow across the Arctic, North America, and China: Effects on surface albedo C. Dang et al. 10.1002/2017JD027070
- A review of black carbon in snow and ice and its impact on the cryosphere S. Kang et al. 10.1016/j.earscirev.2020.103346
- Source attribution of black carbon and its direct radiative forcing in China Y. Yang et al. 10.5194/acp-17-4319-2017
- Seasonal variations and sources of atmospheric polycyclic aromatic hydrocarbons and organochlorine compounds in a high-altitude city: Evidence from four-year observations P. Gong et al. 10.1016/j.envpol.2017.10.064
- A comprehensive appraisal on the effect of aerosol on mountain glaciers: special reference to Sikkim Himalayan region of India S. Kumari & A. Middey 10.1007/s12046-023-02097-0
- Regional and Sectoral Sources for Black Carbon Over South China in Spring and Their Sensitivity to East Asian Summer Monsoon Onset C. Fang et al. 10.1029/2020JD033219
- Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. 10.1029/2019MS001851
- CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM) H. Wan et al. 10.5194/gmd-15-3205-2022
- Impacts of absorbing aerosol deposition on snowpack and hydrologic cycle in the Rocky Mountain region based on variable-resolution CESM (VR-CESM) simulations C. Wu et al. 10.5194/acp-18-511-2018
- Aerosol transport pathways and source attribution in China during the COVID-19 outbreak L. Ren et al. 10.5194/acp-21-15431-2021
1 citations as recorded by crossref.
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Latest update: 18 Apr 2024
Short summary
We use a global climate model with an explicit source tagging technique to quantify contributions of emissions from various geographical regions and sectors to BC in North America. Model results are evaluated against measurements of near-surface and in-snow BC. We found strong spatial variations of BC and its radiative forcing that can be quantitatively attributed to the various source origins, and also identified a significant source of BC in snow that is likely missing in most climate models.
We use a global climate model with an explicit source tagging technique to quantify...
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