Unified theoretical framework for black carbon mixing state allows greater accuracy of climate effect estimation

Wang, Jiandong; Wang, Jiaping; Cai, Runlong; Liu, Chao; Jiang, Jingkun; Nie, Wei; Wang, Jinbo; Moteki, Nobuhiro; Zaveri, Rahul A.; Huang, Xin; Ma, Nan; Chen, Ganzhen; Wang, Zilin; Jin, Yuzhi; Cai, Jing; Zhang, Yuxuan; Chi, Xuguang; Holanda, Bruna A.; Xing, Jia; Liu, Tengyu; Qi, Ximeng; Pöhlker, Christopher; Su, Hang; Cheng, Yafang; Hao, Jiming; Andreae, Meinrat O.; Ding, Aijun

doi:10.1038/s41467-023-38330-x

Cited by 16 publications

(8 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 2 shows the CT distributions (blue violin plots) in the three locations at different D BC values. The CTs at the three locations all show similar geometric means, which vary with different D BC values (yellow dots), specifically, 36.4 nm in Nanjing (Figure 2a), 11.0 nm in Tokyo (Figure 2b), and 22.0 nm in Sacramento (Figure 2c), as demonstrated in our previous study (J. Wang et al., 2023). Different shades of blue represent the number of particles, where a lighter blue indicates fewer particles.…”

Section: Methods and Datasupporting

confidence: 83%

“…The CTs at the three locations all show similar geometric means, which vary with different D BC values (yellow dots), specifically, 36.4 nm in Nanjing (Figure 2a), 11.0 nm in Tokyo (Figure 2b), and 22.0 nm in Sacramento (Figure 2c), as demonstrated in our previous study (J. Wang et al, 2023). (Bond et al, 2013) and mostly traffic sources (D. Liu et al, 2014).…”

Section: Observed Bc Microphysical and Mixing Propertiessupporting

confidence: 81%

“…Namely, for sites in diverse environments, the CT distribution shows self-similarity; that is, BC with different core sizes has a similar CT in every particle population (J. Wang et al, 2023). Although Fierce et al (2016) showed E abs discrepancy due to particle-to-particle heterogeneity in CT, we found a unified and universally applicable distribution pattern that was not apparent in Fierce et al (2016).…”

Section: Optical Properties In the Abc Modulementioning

confidence: 70%

“…Moreover, the similar CTs at different D BC values indicated in Figure 2 could further simplify the BC mixing representation as a particle‐to‐particle shift from the D BC distribution to the D p distribution (as illustrated in Figure 4b). Namely, for sites in diverse environments, the CT distribution shows self‐similarity; that is, BC with different core sizes has a similar CT in every particle population (J. Wang et al., 2023). Although Fierce et al.…”

Section: Development Of the Abc Module And Model Descriptionmentioning

confidence: 99%

See 3 more Smart Citations

An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models

Chen,

Wang,

Wang

et al. 2023

J Adv Model Earth Syst

Self Cite

View full text Add to dashboard Cite

Atmospheric black carbon (BC) aerosols have been long‐lasting uncertain components in environmental and climate studies. Global climate models (GCMs) potentially overestimate BC absorption efficiency due to a lack of consideration of complex BC microphysical and mixing properties. We extract multiple BC properties from observations and develop an aerosol optical module known as Advanced Black Carbon (ABC) in the framework of the Modal Aerosol Model version 4 (MAM4). The ABC module is implemented in the Community Atmosphere Model version 6 (CAM6) and evaluated by in situ and remote sensing observations. CAM6‐ABC addresses the shortcomings of CAM6‐MAM4 in terms of BC microphysical and mixing properties, particularly their size, mixing state and optical simulations. Sensitivity simulations show that the global BC absorption aerosol optical depth at 550 nm simulated by CAM6‐ABC is reduced by ∼29% compared with that in CAM6‐MAM4. The BC absorption enhancement simulated by CAM6‐ABC is reduced from ∼2.6 of the default MAM4 to ∼1.4, which is closer to the observed values (mostly less than 1.5). With improved BC absorption estimation, the biases of aerosol single‐scattering coalbedo simulations are reduced by 18%–69% compared with global Aerosol Robotic Network observations. Moreover, the globally averaged BC direct radiative effect is reduced from 0.37 to 0.28 W/m2 at the top of the atmosphere. Our new scheme alleviates the overestimation of BC absorption in GCMs by constraining BC microphysical and mixing properties when assessing aerosol radiative and climate effects, and it can be easily implemented in most modal‐based aerosol modules of climate models.

show abstract

Section: Methods and Datasupporting

confidence: 83%

Section: Observed Bc Microphysical and Mixing Propertiessupporting

confidence: 81%

Section: Optical Properties In the Abc Modulementioning

confidence: 70%

Section: Development Of the Abc Module And Model Descriptionmentioning

confidence: 99%

See 2 more Smart Citations

An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models

Chen,

Wang,

Wang

et al. 2023

J Adv Model Earth Syst

Self Cite

View full text Add to dashboard Cite

show abstract

“…As shown in the bottom panel of Figure 6, the ratio of E abs between model A and the core‐shell model is smaller than that of MAC, indicating that real aerosol absorption may be larger than inferred by the E abs observation. To match the low value of E abs from field observation, the BC absorption could be reduced by 40%–50% using a modified core‐shell model which directly adjusts the amount of coating material (J. Wang et al., 2023). In this study, it is found that the low E abs value of BC can be matched while the absorption is only reduced by approximately 11% using the encapsulated fractal aggregates model.…”

Section: Resultsmentioning

confidence: 99%

Single‐Scattering Properties of Encapsulated Fractal Black Carbon Particles Computed Using the Invariant Imbedding T‐Matrix Method and Deep Learning Approaches

Wang,

Bi,

Han

et al. 2023

JGR Atmospheres

View full text Add to dashboard Cite

Efficient and accurate computation of the single‐scattering properties of black carbon (BC) aerosols is fundamental in various fields, including remote sensing and climate simulations. In this study, we developed a composite model of fractal aggregates of BC encapsulated with hygroscopic aerosols to represent the ambient BC. We used the invariant imbedding T‐matrix method to compute the optical properties of fully and partially encapsulated BC aerosols. In this new model, the traditional assumption of unoverlapped surfaces in the super‐position T‐matrix method is unnecessary. After extensive simulations, we established a database of single‐scattering properties, including the extinction efficiency, the single‐scattering albedo, the asymmetry factor and six phase matrix elements. Moreover, we obtained deep neural networks (DNNs) from this database using a deep learning method. These DNN models provide a universal interface for predicting the optical properties of ambient BC aerosols. Specifically, through a modified architecture of the DNN, we trained two models based on the database to predict three integrated optical properties (extinction efficiency, single‐scattering albedo, and asymmetry factor) and six phase matrix elements. We performed statistical assessments based on the true values in the database and the predicted values from the DNNs, demonstrating that the DNNs accurately predicted all single‐scattering properties. Therefore, the developed DNN models can be conveniently implemented in aerosol optical parameterization for remote sensing studies and atmospheric models.

show abstract

Application of multiplatform remote sensing data over East Asia Ocean: aerosol characteristics and aerosol types

Luan,

Cao,

Shen

et al. 2024

Environ Sci Pollut Res

View full text Add to dashboard Cite

Unified theoretical framework for black carbon mixing state allows greater accuracy of climate effect estimation

Cited by 16 publications

References 51 publications

An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models

An Aerosol Optical Module With Observation‐Constrained Black Carbon Properties for Global Climate Models

Single‐Scattering Properties of Encapsulated Fractal Black Carbon Particles Computed Using the Invariant Imbedding T‐Matrix Method and Deep Learning Approaches

Application of multiplatform remote sensing data over East Asia Ocean: aerosol characteristics and aerosol types

Contact Info

Product

Resources

About