Articles | Volume 14, issue 24
https://doi.org/10.5194/acp-14-13423-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-13423-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Dec 2014
Research article |
| 16 Dec 2014
Aerosol hygroscopicity and cloud condensation nuclei activity during the AC3Exp campaign: implications for cloud condensation nuclei parameterization
F. Zhang
College of Global Change and Earth System Science, Beijing Normal University, 100875 Beijing, China
College of Global Change and Earth System Science, Beijing Normal University, 100875 Beijing, China
Z. Li
CORRESPONDING AUTHOR
College of Global Change and Earth System Science, Beijing Normal University, 100875 Beijing, China
Earth System Science Interdisciplinary Center and Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland, USA
L. Sun
Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029 Beijing, China
R. Li
College of Global Change and Earth System Science, Beijing Normal University, 100875 Beijing, China
C. Zhao
College of Global Change and Earth System Science, Beijing Normal University, 100875 Beijing, China
P. Wang
Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029 Beijing, China
Y. Sun
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029 Beijing, China
X. Liu
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, 100875 Beijing, China
J. Li
Weather Modification Office of Shanxi Province, 030032 Taiyuan, China
Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, 210044 Nanjing, China
P. Li
Weather Modification Office of Shanxi Province, 030032 Taiyuan, China
G. Ren
Weather Modification Office of Shanxi Province, 030032 Taiyuan, China
T. Fan
College of Global Change and Earth System Science, Beijing Normal University, 100875 Beijing, China
Viewed
Total article views: 7,775 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Jun 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,243 | 5,434 | 98 | 7,775 | 103 | 126 |
- HTML: 2,243
- PDF: 5,434
- XML: 98
- Total: 7,775
- BibTeX: 103
- EndNote: 126
Total article views: 3,596 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Dec 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,731 | 1,782 | 83 | 3,596 | 97 | 124 |
- HTML: 1,731
- PDF: 1,782
- XML: 83
- Total: 3,596
- BibTeX: 97
- EndNote: 124
Total article views: 4,179 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Jun 2014)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 512 | 3,652 | 15 | 4,179 | 6 | 2 |
- HTML: 512
- PDF: 3,652
- XML: 15
- Total: 4,179
- BibTeX: 6
- EndNote: 2
Cited
63 citations as recorded by crossref.
- Distinct diurnal variation in organic aerosol hygroscopicity and its relationship with oxygenated organic aerosol Y. Kuang et al. 10.5194/acp-20-865-2020
- A Large Impact of Cooking Organic Aerosol (COA) on Particle Hygroscopicity and CCN Activity in Urban Atmosphere J. Liu et al. 10.1029/2020JD033628
- Mathematical derivation and physical interpretation of particle size-resolved activation ratio based on particle hygroscopicity distribution: Application on global characterization of CCN activity X. Jiang et al. 10.1016/j.atmosenv.2020.118137
- Effects of volatile organic compounds and new particle formation on real-time hygroscopicity of PM2.5 particles in Seosan, Republic of Korea J. Kim et al. 10.1016/j.scitotenv.2024.171516
- Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition J. Schmale et al. 10.1038/sdata.2017.3
- Formation of Urban Fine Particulate Matter R. Zhang et al. 10.1021/acs.chemrev.5b00067
- Impacts of organic aerosols and its oxidation level on CCN activity from measurement at a suburban site in China F. Zhang et al. 10.5194/acp-16-5413-2016
- Size‐resolved measurements of mixing state and cloud‐nucleating ability of aerosols in Nanjing, China Y. Ma et al. 10.1002/2017JD026583
- Tandem configuration of differential mobility and centrifugal particle mass analysers for investigating aerosol hygroscopic properties S. Vlasenko et al. 10.5194/amt-10-1269-2017
- A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 2. Application to Obtain CCN Spectra in and Around the Korean Peninsula M. Park et al. 10.1029/2023JD039234
- Secondary aerosol formation alters CCN activity in the North China Plain J. Tao et al. 10.5194/acp-21-7409-2021
- Effect of vehicular traffic, remote sources and new particle formation on the activation properties of cloud condensation nuclei in the megacity of São Paulo, Brazil C. Souto-Oliveira et al. 10.5194/acp-16-14635-2016
- Effect of model errors in ambient air humidity on the aerosol optical depth obtained via aerosol hygroscopicity in eastern China in the Atmospheric Chemistry and Climate Model Intercomparison Project datasets W. CHANG 10.1080/16742834.2019.1588063
- Characterization of submicron aerosols over the Yellow Sea measured onboard the Gisang 1 research vessel in the spring of 2018 and 2019 M. Park et al. 10.1016/j.envpol.2021.117180
- Predicting cloud condensation nuclei number concentration based on conventional measurements of aerosol properties in the North China Plain Y. Zhang et al. 10.1016/j.scitotenv.2020.137473
- Evidence of Surface-Tension Lowering of Atmospheric Aerosols by Organics from Field Observations in an Urban Atmosphere: Relation to Particle Size and Chemical Composition T. Fan et al. 10.1021/acs.est.4c03141
- Statistical analysis and parameterization of the hygroscopic growth of the sub-micrometer urban background aerosol in Beijing Y. Wang et al. 10.1016/j.atmosenv.2017.12.003
- Using different assumptions of aerosol mixing state and chemical composition to predict CCN concentrations based on field measurements in urban Beijing J. Ren et al. 10.5194/acp-18-6907-2018
- Cloud condensation nuclei activity of the Aitken mode particles near St. Petersburg, Russia E. Mikhailov et al. 10.1134/S0001433817030082
- Measurement report: Hygroscopic growth of ambient fine particles measured at five sites in China L. Chen et al. 10.5194/acp-22-6773-2022
- Differentiating the Contributions of Particle Concentration, Humidity, and Hygroscopicity to Aerosol Light Scattering at Three Sites in China X. Jin et al. 10.1029/2022JD036891
- Formation, features and controlling strategies of severe haze-fog pollutions in China H. Fu & J. Chen 10.1016/j.scitotenv.2016.10.201
- Aerosol activation characteristics and prediction at the central European ACTRIS research station of Melpitz, Germany Y. Wang et al. 10.5194/acp-22-15943-2022
- Aerosol and monsoon climate interactions over Asia Z. Li et al. 10.1002/2015RG000500
- Toward understanding the process-level impacts of aerosols on microphysical properties of shallow cumulus cloud using aircraft observations Y. Yang et al. 10.1016/j.atmosres.2019.01.027
- Uncertainty in Predicting CCN Activity of Aged and Primary Aerosols F. Zhang et al. 10.1002/2017JD027058
- Enhanced hydrophobicity and volatility of submicron aerosols under severe emission control conditions in Beijing Y. Wang et al. 10.5194/acp-17-5239-2017
- Contrasting size-resolved hygroscopicity of fine particles derived by HTDMA and HR-ToF-AMS measurements between summer and winter in Beijing: the impacts of aerosol aging and local emissions X. Fan et al. 10.5194/acp-20-915-2020
- Distinct Impacts of Light and Heavy Precipitation on PM2.5 Mass Concentration in Beijing Y. Sun et al. 10.1029/2019EA000717
- Parameterization of polydisperse aerosol optical properties during hygroscopic growth C. Jung et al. 10.1080/02786826.2023.2211121
- Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics H. Che et al. 10.1038/s41598-017-05998-3
- Size-resolved hygroscopic behavior of atmospheric aerosols during heavy aerosol pollution episodes in Beijing in December 2016 X. Wang et al. 10.1016/j.atmosenv.2018.09.041
- Contributions of traffic emissions and new particle formation to the ultrafine particle size distribution in the megacity of Beijing H. Wu et al. 10.1016/j.atmosenv.2021.118652
- On the submicron aerosol distributions and CCN activity in and around the Korean Peninsula measured onboard the NASA DC-8 research aircraft during the KORUS-AQ field campaign M. Park et al. 10.1016/j.atmosres.2020.105004
- An examination of the algorithm for estimating light extinction from IMPROVE particle speciation data A. Prenni et al. 10.1016/j.atmosenv.2019.116880
- Airborne measurements of cloud condensation nuclei (CCN) vertical structures over Southern China X. Xu et al. 10.1016/j.atmosres.2021.106012
- Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study C. Bharali et al. 10.5194/acp-24-6635-2024
- Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data M. Lv et al. 10.1029/2017JD028102
- Aircraft measurements of aerosol distribution, warm cloud microphysical properties, and their relationship over the Eastern Loess Plateau in China J. Li et al. 10.1080/16000889.2019.1663994
- Variability of aerosol-cloud interactions induced by different cloud droplet nucleation schemes D. Chang et al. 10.1016/j.atmosres.2020.105367
- Cloud Condensation Nuclei Closure Study Using Airborne Measurements Over the Southern Great Plains G. Kulkarni et al. 10.1029/2022JD037964
- Source Apportionment of Cloud Nuclei at 260 m and Ground Level in Urban Beijing S. Jiang et al. 10.1029/2022JD038339
- Microphysical characteristics of precipitating cumulus cloud based on airborne Ka-band cloud radar and droplet measurements L. Wei et al. 10.1016/j.aosl.2021.100134
- Aircraft measurements of single particle size and composition reveal aerosol size and mixing state dictate their activation into cloud droplets G. Saliba et al. 10.1039/D3EA00052D
- Influences of aerosol physiochemical properties and new particle formation on CCN activity from observation at a suburban site of China Y. Li et al. 10.1016/j.atmosres.2017.01.009
- Chemical characterization of PM2.5 from region highly impacted by hailstorms in South America A. Beal et al. 10.1007/s11356-021-15952-6
- Cloud condensation nuclei characteristics at the Southern Great Plains site: role of particle size distribution and aerosol hygroscopicity P. Patel & J. Jiang 10.1088/2515-7620/ac0e0b
- Characterization of aerosol hygroscopicity, mixing state, and CCN activity at a suburban site in the central North China Plain Y. Wang et al. 10.5194/acp-18-11739-2018
- Markedly different impacts of primary emissions and secondary aerosol formation on aerosol mixing states revealed by simultaneous measurements of CCNC, H(/V)TDMA, and SP2 J. Tao et al. 10.5194/acp-24-9131-2024
- Aerosol characterization over the North China Plain: Haze life cycle and biomass burning impacts in summer Y. Sun et al. 10.1002/2015JD024261
- Characterization of submicron aerosols and CCN over the Yellow Sea measured onboard the Gisang 1 research vessel using the positive matrix factorization analysis method M. Park et al. 10.1016/j.atmosres.2018.08.015
- Tropospheric aerosol hygroscopicity in China C. Peng et al. 10.5194/acp-20-13877-2020
- A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 1. Development, Validation, and Comparison Using the Measurement Data Over the Korean Peninsula M. Park et al. 10.1029/2023JD039189
- Evaluation of the contribution of new particle formation to cloud droplet number concentration in the urban atmosphere S. Jiang et al. 10.5194/acp-21-14293-2021
- An improved parameterization scheme for size-resolved particle activation ratio and its application on comparison study of particle hygroscopicity measurements between HTDMA and DMA-CCNC J. Tao et al. 10.1016/j.atmosenv.2020.117403
- Hygroscopicity of Organic Aerosols Linked to Formation Mechanisms J. Liu et al. 10.1029/2020GL091683
- Negative Aerosol‐Cloud re Relationship From Aircraft Observations Over Hebei, China C. Zhao et al. 10.1002/2017EA000346
- Deriving aerosol hygroscopic mixing state from size-resolved CCN activity and HR-ToF-AMS measurements D. Bhattu et al. 10.1016/j.atmosenv.2016.07.032
- Seasonal variation of particle hygroscopicity and its impact on cloud-condensation nucleus activation in the Beijing urban area S. Zhang et al. 10.1016/j.atmosenv.2023.119728
- The NPF Effect on CCN Number Concentrations: A Review and Re‐Evaluation of Observations From 35 Sites Worldwide J. Ren et al. 10.1029/2021GL095190
- Significantly Enhanced Aerosol CCN Activity and Number Concentrations by Nucleation‐Initiated Haze Events: A Case Study in Urban Beijing F. Zhang et al. 10.1029/2019JD031457
- Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign M. Lv et al. 10.1016/j.jqsrt.2015.12.029
- A Case Study of Stratus Cloud Properties Using In Situ Aircraft Observations over Huanghua, China C. Zhao et al. 10.3390/atmos10010019
62 citations as recorded by crossref.
- Distinct diurnal variation in organic aerosol hygroscopicity and its relationship with oxygenated organic aerosol Y. Kuang et al. 10.5194/acp-20-865-2020
- A Large Impact of Cooking Organic Aerosol (COA) on Particle Hygroscopicity and CCN Activity in Urban Atmosphere J. Liu et al. 10.1029/2020JD033628
- Mathematical derivation and physical interpretation of particle size-resolved activation ratio based on particle hygroscopicity distribution: Application on global characterization of CCN activity X. Jiang et al. 10.1016/j.atmosenv.2020.118137
- Effects of volatile organic compounds and new particle formation on real-time hygroscopicity of PM2.5 particles in Seosan, Republic of Korea J. Kim et al. 10.1016/j.scitotenv.2024.171516
- Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition J. Schmale et al. 10.1038/sdata.2017.3
- Formation of Urban Fine Particulate Matter R. Zhang et al. 10.1021/acs.chemrev.5b00067
- Impacts of organic aerosols and its oxidation level on CCN activity from measurement at a suburban site in China F. Zhang et al. 10.5194/acp-16-5413-2016
- Size‐resolved measurements of mixing state and cloud‐nucleating ability of aerosols in Nanjing, China Y. Ma et al. 10.1002/2017JD026583
- Tandem configuration of differential mobility and centrifugal particle mass analysers for investigating aerosol hygroscopic properties S. Vlasenko et al. 10.5194/amt-10-1269-2017
- A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 2. Application to Obtain CCN Spectra in and Around the Korean Peninsula M. Park et al. 10.1029/2023JD039234
- Secondary aerosol formation alters CCN activity in the North China Plain J. Tao et al. 10.5194/acp-21-7409-2021
- Effect of vehicular traffic, remote sources and new particle formation on the activation properties of cloud condensation nuclei in the megacity of São Paulo, Brazil C. Souto-Oliveira et al. 10.5194/acp-16-14635-2016
- Effect of model errors in ambient air humidity on the aerosol optical depth obtained via aerosol hygroscopicity in eastern China in the Atmospheric Chemistry and Climate Model Intercomparison Project datasets W. CHANG 10.1080/16742834.2019.1588063
- Characterization of submicron aerosols over the Yellow Sea measured onboard the Gisang 1 research vessel in the spring of 2018 and 2019 M. Park et al. 10.1016/j.envpol.2021.117180
- Predicting cloud condensation nuclei number concentration based on conventional measurements of aerosol properties in the North China Plain Y. Zhang et al. 10.1016/j.scitotenv.2020.137473
- Evidence of Surface-Tension Lowering of Atmospheric Aerosols by Organics from Field Observations in an Urban Atmosphere: Relation to Particle Size and Chemical Composition T. Fan et al. 10.1021/acs.est.4c03141
- Statistical analysis and parameterization of the hygroscopic growth of the sub-micrometer urban background aerosol in Beijing Y. Wang et al. 10.1016/j.atmosenv.2017.12.003
- Using different assumptions of aerosol mixing state and chemical composition to predict CCN concentrations based on field measurements in urban Beijing J. Ren et al. 10.5194/acp-18-6907-2018
- Cloud condensation nuclei activity of the Aitken mode particles near St. Petersburg, Russia E. Mikhailov et al. 10.1134/S0001433817030082
- Measurement report: Hygroscopic growth of ambient fine particles measured at five sites in China L. Chen et al. 10.5194/acp-22-6773-2022
- Differentiating the Contributions of Particle Concentration, Humidity, and Hygroscopicity to Aerosol Light Scattering at Three Sites in China X. Jin et al. 10.1029/2022JD036891
- Formation, features and controlling strategies of severe haze-fog pollutions in China H. Fu & J. Chen 10.1016/j.scitotenv.2016.10.201
- Aerosol activation characteristics and prediction at the central European ACTRIS research station of Melpitz, Germany Y. Wang et al. 10.5194/acp-22-15943-2022
- Aerosol and monsoon climate interactions over Asia Z. Li et al. 10.1002/2015RG000500
- Toward understanding the process-level impacts of aerosols on microphysical properties of shallow cumulus cloud using aircraft observations Y. Yang et al. 10.1016/j.atmosres.2019.01.027
- Uncertainty in Predicting CCN Activity of Aged and Primary Aerosols F. Zhang et al. 10.1002/2017JD027058
- Enhanced hydrophobicity and volatility of submicron aerosols under severe emission control conditions in Beijing Y. Wang et al. 10.5194/acp-17-5239-2017
- Contrasting size-resolved hygroscopicity of fine particles derived by HTDMA and HR-ToF-AMS measurements between summer and winter in Beijing: the impacts of aerosol aging and local emissions X. Fan et al. 10.5194/acp-20-915-2020
- Distinct Impacts of Light and Heavy Precipitation on PM2.5 Mass Concentration in Beijing Y. Sun et al. 10.1029/2019EA000717
- Parameterization of polydisperse aerosol optical properties during hygroscopic growth C. Jung et al. 10.1080/02786826.2023.2211121
- Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics H. Che et al. 10.1038/s41598-017-05998-3
- Size-resolved hygroscopic behavior of atmospheric aerosols during heavy aerosol pollution episodes in Beijing in December 2016 X. Wang et al. 10.1016/j.atmosenv.2018.09.041
- Contributions of traffic emissions and new particle formation to the ultrafine particle size distribution in the megacity of Beijing H. Wu et al. 10.1016/j.atmosenv.2021.118652
- On the submicron aerosol distributions and CCN activity in and around the Korean Peninsula measured onboard the NASA DC-8 research aircraft during the KORUS-AQ field campaign M. Park et al. 10.1016/j.atmosres.2020.105004
- An examination of the algorithm for estimating light extinction from IMPROVE particle speciation data A. Prenni et al. 10.1016/j.atmosenv.2019.116880
- Airborne measurements of cloud condensation nuclei (CCN) vertical structures over Southern China X. Xu et al. 10.1016/j.atmosres.2021.106012
- Role of atmospheric aerosols in severe winter fog over the Indo-Gangetic Plain of India: a case study C. Bharali et al. 10.5194/acp-24-6635-2024
- Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data M. Lv et al. 10.1029/2017JD028102
- Aircraft measurements of aerosol distribution, warm cloud microphysical properties, and their relationship over the Eastern Loess Plateau in China J. Li et al. 10.1080/16000889.2019.1663994
- Variability of aerosol-cloud interactions induced by different cloud droplet nucleation schemes D. Chang et al. 10.1016/j.atmosres.2020.105367
- Cloud Condensation Nuclei Closure Study Using Airborne Measurements Over the Southern Great Plains G. Kulkarni et al. 10.1029/2022JD037964
- Source Apportionment of Cloud Nuclei at 260 m and Ground Level in Urban Beijing S. Jiang et al. 10.1029/2022JD038339
- Microphysical characteristics of precipitating cumulus cloud based on airborne Ka-band cloud radar and droplet measurements L. Wei et al. 10.1016/j.aosl.2021.100134
- Aircraft measurements of single particle size and composition reveal aerosol size and mixing state dictate their activation into cloud droplets G. Saliba et al. 10.1039/D3EA00052D
- Influences of aerosol physiochemical properties and new particle formation on CCN activity from observation at a suburban site of China Y. Li et al. 10.1016/j.atmosres.2017.01.009
- Chemical characterization of PM2.5 from region highly impacted by hailstorms in South America A. Beal et al. 10.1007/s11356-021-15952-6
- Cloud condensation nuclei characteristics at the Southern Great Plains site: role of particle size distribution and aerosol hygroscopicity P. Patel & J. Jiang 10.1088/2515-7620/ac0e0b
- Characterization of aerosol hygroscopicity, mixing state, and CCN activity at a suburban site in the central North China Plain Y. Wang et al. 10.5194/acp-18-11739-2018
- Markedly different impacts of primary emissions and secondary aerosol formation on aerosol mixing states revealed by simultaneous measurements of CCNC, H(/V)TDMA, and SP2 J. Tao et al. 10.5194/acp-24-9131-2024
- Aerosol characterization over the North China Plain: Haze life cycle and biomass burning impacts in summer Y. Sun et al. 10.1002/2015JD024261
- Characterization of submicron aerosols and CCN over the Yellow Sea measured onboard the Gisang 1 research vessel using the positive matrix factorization analysis method M. Park et al. 10.1016/j.atmosres.2018.08.015
- Tropospheric aerosol hygroscopicity in China C. Peng et al. 10.5194/acp-20-13877-2020
- A New CCN Number Concentration Prediction Method Based on Multiple Linear Regression and Non‐Negative Matrix Factorization: 1. Development, Validation, and Comparison Using the Measurement Data Over the Korean Peninsula M. Park et al. 10.1029/2023JD039189
- Evaluation of the contribution of new particle formation to cloud droplet number concentration in the urban atmosphere S. Jiang et al. 10.5194/acp-21-14293-2021
- An improved parameterization scheme for size-resolved particle activation ratio and its application on comparison study of particle hygroscopicity measurements between HTDMA and DMA-CCNC J. Tao et al. 10.1016/j.atmosenv.2020.117403
- Hygroscopicity of Organic Aerosols Linked to Formation Mechanisms J. Liu et al. 10.1029/2020GL091683
- Negative Aerosol‐Cloud re Relationship From Aircraft Observations Over Hebei, China C. Zhao et al. 10.1002/2017EA000346
- Deriving aerosol hygroscopic mixing state from size-resolved CCN activity and HR-ToF-AMS measurements D. Bhattu et al. 10.1016/j.atmosenv.2016.07.032
- Seasonal variation of particle hygroscopicity and its impact on cloud-condensation nucleus activation in the Beijing urban area S. Zhang et al. 10.1016/j.atmosenv.2023.119728
- The NPF Effect on CCN Number Concentrations: A Review and Re‐Evaluation of Observations From 35 Sites Worldwide J. Ren et al. 10.1029/2021GL095190
- Significantly Enhanced Aerosol CCN Activity and Number Concentrations by Nucleation‐Initiated Haze Events: A Case Study in Urban Beijing F. Zhang et al. 10.1029/2019JD031457
- Hygroscopic growth of atmospheric aerosol particles based on lidar, radiosonde, and in situ measurements: Case studies from the Xinzhou field campaign M. Lv et al. 10.1016/j.jqsrt.2015.12.029
1 citations as recorded by crossref.
Saved (final revised paper)
Saved (preprint)
Latest update: 25 Dec 2024
Short summary
Atmospheric aerosol particles acting as CCN are pivotal elements of the hydrological cycle and climate change. In this study, we measured and characterized NCCN in relatively clean and polluted air during the AC3Exp campaign conducted at Xianghe, China, in summer 2013. We found that aerosol particle hygroscopicity and activation are more complex for heavy pollution particles because of the diversity in particle composition and mixing state. We have also shown the possibility of using bulk κc.
Atmospheric aerosol particles acting as CCN are pivotal elements of the hydrological cycle and...
Altmetrics
Final-revised paper
Preprint