Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Earth System Modeling Center (ESMC)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing, 210044, China
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China
National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Earth System Modeling Center (ESMC)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing, 210044, China
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Earth System Modeling Center (ESMC)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing, 210044, China
School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing, 210044, China
Shihao Tang
National Satellite Meteorological Center, China Meteorological Administration, Beijing, 100081, China
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Total article views: 3,318 (including HTML, PDF, and XML)
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Total article views: 640 (including HTML, PDF, and XML)
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The understanding of the absorption Ångstrom exponent (AAE) of aged black carbon (BC) particles affected by their microphysics is numerically evaluated. With key sensitive microphysical parameters, a simple parameterization of the AAE of coated BC with a size distribution is proposed. It is found that BC coated by thin brown carbon with more large particles shows an AAE smaller than pure BC particles. Our findings improve the understanding and application of the AAE of BC with brown coatings.
The understanding of the absorption Ångstrom exponent (AAE) of aged black carbon (BC) particles...
