Articles | Volume 19, issue 18
https://doi.org/10.5194/acp-19-11765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-11765-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Sep 2019
Research article |
| 23 Sep 2019
| 23 Sep 2019
In situ constraints on the vertical distribution of global aerosol
Duncan Watson-Parris
CORRESPONDING AUTHOR
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
Nick Schutgens
Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Carly Reddington
School of Earth and Environment, University of Leeds, Leeds, UK
Kirsty J. Pringle
School of Earth and Environment, University of Leeds, Leeds, UK
Dantong Liu
Department of Atmospheric Sciences, School of Earth Sciences, Zhejiang University, Hangzhou, Zhejiang, China
James D. Allan
Centre for Atmospheric Science, SEAES, University of Manchester,
Manchester, UK
National Centre for Atmospheric Science, University of Manchester,
Manchester, UK
Centre for Atmospheric Science, SEAES, University of Manchester,
Manchester, UK
Ken S. Carslaw
School of Earth and Environment, University of Leeds, Leeds, UK
Philip Stier
Atmospheric, Oceanic and Planetary Physics, Department of Physics,
University of Oxford, Oxford, UK
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- Simulated aging processes of black carbon and its impact during a severe winter haze event in the Beijing-Tianjin-Hebei region D. Chen et al. 10.1016/j.scitotenv.2020.142712
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Simulated impacts of vertical distributions of black carbon aerosol on meteorology and PM<sub>2.5</sub> concentrations in Beijing during severe haze events D. Chen et al. 10.5194/acp-22-1825-2022
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- Three-dimensional reconstruction of aerosols based on spectral radiance matching P. Li et al. 10.1016/j.atmosenv.2024.120485
- Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. 10.1029/2021JD035483
- Estimation of cloud condensation nuclei number concentrations and comparison to in situ and lidar observations during the HOPE experiments C. Genz et al. 10.5194/acp-20-8787-2020
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- Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. 10.5194/gmd-13-6383-2020
- Sensor-generic adjacency-effect correction for remote sensing of coastal and inland waters Y. Wu et al. 10.1016/j.rse.2024.114433
23 citations as recorded by crossref.
- The Global Atmosphere‐aerosol Model ICON‐A‐HAM2.3–Initial Model Evaluation and Effects of Radiation Balance Tuning on Aerosol Optical Thickness M. Salzmann et al. 10.1029/2021MS002699
- Cloud condensation nuclei concentrations derived from the CAMS reanalysis K. Block et al. 10.5194/essd-16-443-2024
- Assessing potential indicators of aerosol wet scavenging during long-range transport M. Hilario et al. 10.5194/amt-17-37-2024
- Validation of aerosol backscatter profiles from Raman lidar and ceilometer using balloon-borne measurements S. Brunamonti et al. 10.5194/acp-21-2267-2021
- In-cloud scavenging scheme for sectional aerosol modules – implementation in the framework of the Sectional Aerosol module for Large Scale Applications version 2.0 (SALSA2.0) global aerosol module E. Holopainen et al. 10.5194/gmd-13-6215-2020
- Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 2: assessing aerosols, clouds, and aerosol–cloud interactions via field campaign and long-term observations S. Tang et al. 10.5194/gmd-16-6355-2023
- Submicron Aerosol and Absorbing Substance in the Troposphere of the Russian Sector of the Arctic According to Measurements Onboard the Tu-134 Optik Aircraft Laboratory in 2020 P. Zenkova et al. 10.1134/S1024856022010146
- Simulated aging processes of black carbon and its impact during a severe winter haze event in the Beijing-Tianjin-Hebei region D. Chen et al. 10.1016/j.scitotenv.2020.142712
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. 10.1029/2022RG000796
- Simulated impacts of vertical distributions of black carbon aerosol on meteorology and PM<sub>2.5</sub> concentrations in Beijing during severe haze events D. Chen et al. 10.5194/acp-22-1825-2022
- Strong particle production and condensational growth in the upper troposphere sustained by biogenic VOCs from the canopy of the Amazon Basin Y. Liu et al. 10.5194/acp-23-251-2023
- Long range transport of South and East Asian anthropogenic aerosols counteracting Arctic warming S. Fadnavis et al. 10.1038/s41612-024-00633-1
- Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing J. Johnson et al. 10.5194/acp-20-9491-2020
- Constraints on global aerosol number concentration, SO<sub>2</sub> and condensation sink in UKESM1 using ATom measurements A. Ranjithkumar et al. 10.5194/acp-21-4979-2021
- Cloud adjustments dominate the overall negative aerosol radiative effects of biomass burning aerosols in UKESM1 climate model simulations over the south-eastern Atlantic H. Che et al. 10.5194/acp-21-17-2021
- Three-dimensional reconstruction of aerosols based on spectral radiance matching P. Li et al. 10.1016/j.atmosenv.2024.120485
- Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products A. Vogel et al. 10.1029/2021JD035483
- Estimation of cloud condensation nuclei number concentrations and comparison to in situ and lidar observations during the HOPE experiments C. Genz et al. 10.5194/acp-20-8787-2020
- In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles H. Park et al. 10.5194/amt-15-7171-2022
- A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula A. Alban et al. 10.1007/s41748-024-00398-w
- Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 1: assessing E3SM aerosol predictions using aircraft, ship, and surface measurements S. Tang et al. 10.5194/gmd-15-4055-2022
- Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations J. Mulcahy et al. 10.5194/gmd-13-6383-2020
- Sensor-generic adjacency-effect correction for remote sensing of coastal and inland waters Y. Wu et al. 10.1016/j.rse.2024.114433
Latest update: 20 Nov 2024
Short summary
The vertical distribution of aerosol in the atmosphere affects its ability to act as cloud condensation nuclei and changes the amount of sunlight it absorbs or reflects. Common global measurements of aerosol provide no information about this vertical distribution. Using a global collection of in situ aircraft measurements to compare with an aerosol–climate model (ECHAM-HAM), we explore the key processes controlling this distribution and find that wet removal plays a key role.
The vertical distribution of aerosol in the atmosphere affects its ability to act as cloud...
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