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Title: Using an explicit emission tagging method in global modeling of source‐receptor relationships for black carbon in the Arctic: Variations, sources, and transport pathways

Abstract

Abstract We introduce an explicit emission tagging technique in the Community Atmosphere Model to quantify source‐region‐resolved characteristics of black carbon (BC), focusing on the Arctic. Explicit tagging of BC source regions without perturbing the emissions provides a physically consistent and computationally efficient approach to establish source‐receptor relationships and transport pathways. Our analysis shows that the contributions of major source regions to the global BC burden are not proportional to the respective emissions due to strong region‐dependent removal rates and lifetimes, while the contributions to BC direct radiative forcing show a near‐linear dependence on their respective contributions to the burden. Arctic BC concentrations, deposition, and source contributions all have strong seasonal variations. Eastern Asia contributes the most to the wintertime Arctic BC burden, but has much less impact on lower‐level concentrations and deposition. Northern Europe emissions are more important to both surface concentration and deposition in winter than in summer. The largest contribution to Arctic BC in the summer is from Northern Asia. Although local emissions contribute less than 10% to the annual mean BC burden and deposition within the Arctic, the per‐emission efficiency is much higher than for non‐Arctic sources. The interannual variability (1996–2005) due to meteorology is small inmore » annual mean BC burden and radiative forcing but is significant in yearly seasonal means over the Arctic. When a slow aging treatment of BC is introduced, the increase of BC lifetime and burden is source dependent. Global BC forcing‐per‐burden efficiency also increases primarily due to changes in BC vertical distributions.« less

Authors:
 [1];  [1];  [1];  [1];  [2];  [1];  [1];  [1];  [3]
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  1. Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL) Richland WA USA
  2. Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL) Richland WA USA, Key Laboratory for Semi‐Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences Lanzhou University Lanzhou Gansu China
  3. Applied Physics Laboratory Johns Hopkins University Laurel Maryland USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1402155
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Journal of Geophysical Research: Atmospheres
Additional Journal Information:
Journal Name: Journal of Geophysical Research: Atmospheres Journal Volume: 119 Journal Issue: 22; Journal ID: ISSN 2169-897X
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English

Citation Formats

Wang, Hailong, Rasch, Philip J., Easter, Richard C., Singh, Balwinder, Zhang, Rudong, Ma, Po‐Lun, Qian, Yun, Ghan, Steven J., and Beagley, Nathaniel. Using an explicit emission tagging method in global modeling of source‐receptor relationships for black carbon in the Arctic: Variations, sources, and transport pathways. United States: N. p., 2014. Web. doi:10.1002/2014JD022297.
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Wang, Hailong, Rasch, Philip J., Easter, Richard C., Singh, Balwinder, Zhang, Rudong, Ma, Po‐Lun, Qian, Yun, Ghan, Steven J., & Beagley, Nathaniel. Using an explicit emission tagging method in global modeling of source‐receptor relationships for black carbon in the Arctic: Variations, sources, and transport pathways. United States. https://doi.org/10.1002/2014JD022297
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Wang, Hailong, Rasch, Philip J., Easter, Richard C., Singh, Balwinder, Zhang, Rudong, Ma, Po‐Lun, Qian, Yun, Ghan, Steven J., and Beagley, Nathaniel. Fri . "Using an explicit emission tagging method in global modeling of source‐receptor relationships for black carbon in the Arctic: Variations, sources, and transport pathways". United States. https://doi.org/10.1002/2014JD022297.
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@article{osti_1402155,
title = {Using an explicit emission tagging method in global modeling of source‐receptor relationships for black carbon in the Arctic: Variations, sources, and transport pathways},
author = {Wang, Hailong and Rasch, Philip J. and Easter, Richard C. and Singh, Balwinder and Zhang, Rudong and Ma, Po‐Lun and Qian, Yun and Ghan, Steven J. and Beagley, Nathaniel},
abstractNote = {Abstract We introduce an explicit emission tagging technique in the Community Atmosphere Model to quantify source‐region‐resolved characteristics of black carbon (BC), focusing on the Arctic. Explicit tagging of BC source regions without perturbing the emissions provides a physically consistent and computationally efficient approach to establish source‐receptor relationships and transport pathways. Our analysis shows that the contributions of major source regions to the global BC burden are not proportional to the respective emissions due to strong region‐dependent removal rates and lifetimes, while the contributions to BC direct radiative forcing show a near‐linear dependence on their respective contributions to the burden. Arctic BC concentrations, deposition, and source contributions all have strong seasonal variations. Eastern Asia contributes the most to the wintertime Arctic BC burden, but has much less impact on lower‐level concentrations and deposition. Northern Europe emissions are more important to both surface concentration and deposition in winter than in summer. The largest contribution to Arctic BC in the summer is from Northern Asia. Although local emissions contribute less than 10% to the annual mean BC burden and deposition within the Arctic, the per‐emission efficiency is much higher than for non‐Arctic sources. The interannual variability (1996–2005) due to meteorology is small in annual mean BC burden and radiative forcing but is significant in yearly seasonal means over the Arctic. When a slow aging treatment of BC is introduced, the increase of BC lifetime and burden is source dependent. Global BC forcing‐per‐burden efficiency also increases primarily due to changes in BC vertical distributions.},
doi = {10.1002/2014JD022297},
journal = {Journal of Geophysical Research: Atmospheres},
number = 22,
volume = 119,
place = {United States},
year = {Fri Nov 28 00:00:00 EST 2014},
month = {Fri Nov 28 00:00:00 EST 2014}
}
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https://doi.org/10.1002/2014JD022297
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