Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect

Snow and ice albedo reduction due to deposition of absorbing particles (i.e., snow darkening effect (SDE)) warms the Earth system and is largely attributed to black carbon (BC) and dust. Absorbing organic aerosol (BrC) also contributes to SDE but has received less attention due to uncertainty and ch...

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Published in:Journal of Advances in Modeling Earth Systems
Main Authors: Brown, Hunter, Wang, Hailong, Flanner, Mark, Liu, Xiaohong, Singh, Balwinder, Zhang, Rudong, Yang, Yang, Wu, Mingxuan
Language:unknown
Published: 2022
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1868042
https://www.osti.gov/biblio/1868042
https://doi.org/10.1029/2021ms002768
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spelling ftosti:oai:osti.gov:1868042 2023-07-30T03:57:12+02:00 Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect Brown, Hunter Wang, Hailong Flanner, Mark Liu, Xiaohong Singh, Balwinder Zhang, Rudong Yang, Yang Wu, Mingxuan 2022-07-18 application/pdf http://www.osti.gov/servlets/purl/1868042 https://www.osti.gov/biblio/1868042 https://doi.org/10.1029/2021ms002768 unknown http://www.osti.gov/servlets/purl/1868042 https://www.osti.gov/biblio/1868042 https://doi.org/10.1029/2021ms002768 doi:10.1029/2021ms002768 54 ENVIRONMENTAL SCIENCES 2022 ftosti https://doi.org/10.1029/2021ms002768 2023-07-11T10:12:25Z Snow and ice albedo reduction due to deposition of absorbing particles (i.e., snow darkening effect (SDE)) warms the Earth system and is largely attributed to black carbon (BC) and dust. Absorbing organic aerosol (BrC) also contributes to SDE but has received less attention due to uncertainty and challenges in model representation. This work incorporates the SDE of absorbing organic aerosol (BrC) from biomass burning and biofuel sources into the Snow Ice and Aerosol Radiative (SNICAR) model within a variant of the Community Earth System Model (CESM). Additionally, 12 different emission regions of BrC and BC from biomass burning and biofuel sources are tagged to quantify the relative contribution to global and regional SDE. BrC global SDE (0.021–0.056 Wm -2 ) is larger than other model estimates, corresponding to 37%–98% of the SDE from BC. When compared to observations, BrC simulations have a range in median bias (-2.5% to +21%), with better agreement in the simulations that include BrC photochemical bleaching. The largest relative contributions to global BrC SDE are traced to Northern Asia (23%–31%), Southeast Asia (16%–21%), and South Africa (13%–17%). Transport from Southeast Asia contributes nearly half of the regional BrC SDE in Antarctica (0.084–0.3 Wm -2 ), which is the largest regional input to global BrC SDE. Lower latitude BrC SDE is correlated with snowmelt, in-snow BrC concentrations, and snow cover fraction, while polar BrC SDE is correlated with surface insolation and snowmelt. This indicates the importance of in-snow processes and snow feedbacks on modeled BrC SDE. Other/Unknown Material Antarc* Antarctica SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Journal of Advances in Modeling Earth Systems 14 4
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Brown, Hunter
Wang, Hailong
Flanner, Mark
Liu, Xiaohong
Singh, Balwinder
Zhang, Rudong
Yang, Yang
Wu, Mingxuan
Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect
topic_facet 54 ENVIRONMENTAL SCIENCES
description Snow and ice albedo reduction due to deposition of absorbing particles (i.e., snow darkening effect (SDE)) warms the Earth system and is largely attributed to black carbon (BC) and dust. Absorbing organic aerosol (BrC) also contributes to SDE but has received less attention due to uncertainty and challenges in model representation. This work incorporates the SDE of absorbing organic aerosol (BrC) from biomass burning and biofuel sources into the Snow Ice and Aerosol Radiative (SNICAR) model within a variant of the Community Earth System Model (CESM). Additionally, 12 different emission regions of BrC and BC from biomass burning and biofuel sources are tagged to quantify the relative contribution to global and regional SDE. BrC global SDE (0.021–0.056 Wm -2 ) is larger than other model estimates, corresponding to 37%–98% of the SDE from BC. When compared to observations, BrC simulations have a range in median bias (-2.5% to +21%), with better agreement in the simulations that include BrC photochemical bleaching. The largest relative contributions to global BrC SDE are traced to Northern Asia (23%–31%), Southeast Asia (16%–21%), and South Africa (13%–17%). Transport from Southeast Asia contributes nearly half of the regional BrC SDE in Antarctica (0.084–0.3 Wm -2 ), which is the largest regional input to global BrC SDE. Lower latitude BrC SDE is correlated with snowmelt, in-snow BrC concentrations, and snow cover fraction, while polar BrC SDE is correlated with surface insolation and snowmelt. This indicates the importance of in-snow processes and snow feedbacks on modeled BrC SDE.
author Brown, Hunter
Wang, Hailong
Flanner, Mark
Liu, Xiaohong
Singh, Balwinder
Zhang, Rudong
Yang, Yang
Wu, Mingxuan
author_facet Brown, Hunter
Wang, Hailong
Flanner, Mark
Liu, Xiaohong
Singh, Balwinder
Zhang, Rudong
Yang, Yang
Wu, Mingxuan
author_sort Brown, Hunter
title Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect
title_short Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect
title_full Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect
title_fullStr Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect
title_full_unstemmed Brown Carbon Fuel and Emission Source Attributions to Global Snow Darkening Effect
title_sort brown carbon fuel and emission source attributions to global snow darkening effect
publishDate 2022
url http://www.osti.gov/servlets/purl/1868042
https://www.osti.gov/biblio/1868042
https://doi.org/10.1029/2021ms002768
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation http://www.osti.gov/servlets/purl/1868042
https://www.osti.gov/biblio/1868042
https://doi.org/10.1029/2021ms002768
doi:10.1029/2021ms002768
op_doi https://doi.org/10.1029/2021ms002768
container_title Journal of Advances in Modeling Earth Systems
container_volume 14
container_issue 4
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