scholarly journals Constraining Aging Processes of Black Carbon in the Community Atmosphere Model Using Environmental Chamber Measurements

2018 ◽  
Vol 10 (10) ◽  
pp. 2514-2526 ◽  
Author(s):  
Yuan Wang ◽  
Po‐Lun Ma ◽  
Jianfei Peng ◽  
Renyi Zhang ◽  
Jonathan H. Jiang ◽  
...  
Keyword(s):  
Black Carbon ◽  
Environmental Chamber ◽  
Community Atmosphere Model ◽  
Atmosphere Model ◽  
Chamber Measurements

The role of circulation features on black carbon transport into the Arctic in the Community Atmosphere Model version 5 (CAM5)

2013 ◽  
Vol 118 (10) ◽  
pp. 4657-4669 ◽  
Author(s):  
Po-Lun Ma ◽  
Philip J. Rasch ◽  
Hailong Wang ◽  
Kai Zhang ◽  
Richard C. Easter ◽  
...  
Keyword(s):  
Black Carbon ◽  
The Arctic ◽  
Model Version ◽  
Community Atmosphere Model ◽  
Atmosphere Model ◽  
Carbon Transport

scholarly journals Quantifying sources of black carbon in Western North America using observationally based analysis and an emission tagging technique in the Community Atmosphere Model

2015 ◽  
Vol 15 (9) ◽  
pp. 12957-13000
Author(s):  
R. Zhang ◽  
H. Wang ◽  
D. A. Hegg ◽  
Y. Qian ◽  
S. J. Doherty ◽  
...  
Keyword(s):  
North America ◽  
Black Carbon ◽  
Local Source ◽  
Western North America ◽  
Near Surface ◽  
Mixing Ratios ◽  
Source Regions ◽  
Source Type ◽  
Community Atmosphere Model ◽  
Atmosphere Model

Abstract. The Community Atmosphere Model (CAM5), equipped with a technique to tag black carbon (BC) emissions by source regions and types, has been employed to establish source-receptor relationships for atmospheric BC and its deposition to snow over Western North America. The CAM5 simulation was conducted with meteorological fields constrained by reanalysis for year 2013 when measurements of BC in both near-surface air and snow are available for model evaluation. We find that CAM5 has a significant low bias in predicted mixing ratios of BC in snow but only a small low bias in predicted atmospheric concentrations over the Northwest USA and West Canada. Even with a strong low bias in snow mixing ratios, radiative transfer calculations show that the BC-in-snow darkening effect is substantially larger than the BC dimming effect at the surface by atmospheric BC. Local sources contribute more to near-surface atmospheric BC and to deposition than distant sources, while the latter are more important in the middle and upper troposphere where wet removal is relatively weak. Fossil fuel (FF) is the dominant source type for total column BC burden over the two regions. FF is also the dominant local source type for BC column burden, deposition, and near-surface BC, while for all distant source regions combined the contribution of biomass/biofuel (BB) is larger than FF. An observationally based Positive Matrix Factorization (PMF) analysis of the snow-impurity chemistry is conducted to quantitatively evaluate the CAM5 BC source-type attribution. While CAM5 is qualitatively consistent with the PMF analysis with respect to partitioning of BC originating from BB and FF emissions, it significantly underestimates the relative contribution of BB. In addition to a possible low bias in BB emissions used in the simulation, the model is likely missing a significant source of snow darkening from local soil found in the observations.

scholarly journals Quantifying sources of black carbon in western North America using observationally based analysis and an emission tagging technique in the Community Atmosphere Model

2015 ◽  
Vol 15 (22) ◽  
pp. 12805-12822 ◽  
Author(s):  
R. Zhang ◽  
H. Wang ◽  
D. A. Hegg ◽  
Y. Qian ◽  
S. J. Doherty ◽  
...  
Keyword(s):  
North America ◽  
Black Carbon ◽  
Local Source ◽  
Western North America ◽  
Near Surface ◽  
Mixing Ratios ◽  
Source Regions ◽  
Source Type ◽  
Community Atmosphere Model ◽  
Atmosphere Model

Abstract. The Community Atmosphere Model (CAM5), equipped with a technique to tag black carbon (BC) emissions by source regions and types, has been employed to establish source–receptor relationships for atmospheric BC and its deposition to snow over western North America. The CAM5 simulation was conducted with meteorological fields constrained by reanalysis for year 2013 when measurements of BC in both near-surface air and snow are available for model evaluation. We find that CAM5 has a significant low bias in predicted mixing ratios of BC in snow but only a small low bias in predicted atmospheric concentrations over northwestern USA and western Canada. Even with a strong low bias in snow mixing ratios, radiative transfer calculations show that the BC-in-snow darkening effect is substantially larger than the BC dimming effect at the surface by atmospheric BC. Local sources contribute more to near-surface atmospheric BC and to deposition than distant sources, while the latter are more important in the middle and upper troposphere where wet removal is relatively weak. Fossil fuel (FF) is the dominant source type for total column BC burden over the two regions. FF is also the dominant local source type for BC column burden, deposition, and near-surface BC, while for all distant source regions combined the contribution of biomass/biofuel (BB) is larger than FF. An observationally based positive matrix factorization (PMF) analysis of the snow-impurity chemistry is conducted to quantitatively evaluate the CAM5 BC source-type attribution. While CAM5 is qualitatively consistent with the PMF analysis with respect to partitioning of BC originating from BB and FF emissions, it significantly underestimates the relative contribution of BB. In addition to a possible low bias in BB emissions used in the simulation, the model is likely missing a significant source of snow darkening from local soil found in the observations.

scholarly journals A Diagnostic PDF Cloud Scheme to Improve Subtropical Low Clouds in NCAR Community Atmosphere Model ( CAM 5)

2018 ◽  
Vol 10 (2) ◽  
pp. 320-341 ◽  
Author(s):  
Yi Qin ◽  
Yanluan Lin ◽  
Shiming Xu ◽  
Hsi‐Yen Ma ◽  
Shaocheng Xie
Keyword(s):  
Low Clouds ◽  
Community Atmosphere Model ◽  
Atmosphere Model
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