Articles | Volume 17, issue 8
https://doi.org/10.5194/acp-17-5155-2017
© Author(s) 2017. 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-17-5155-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Apr 2017
Research article |
| 20 Apr 2017
The relative importance of macrophysical and cloud albedo changes for aerosol-induced radiative effects in closed-cell stratocumulus: insight from the modelling of a case study
Daniel P. Grosvenor
CORRESPONDING AUTHOR
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Paul R. Field
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Met Office, Exeter, UK
Adrian A. Hill
Met Office, Exeter, UK
Benjamin J. Shipway
Met Office, Exeter, UK
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42 citations as recorded by crossref.
- Constraining the aerosol influence on cloud liquid water path E. Gryspeerdt et al. 10.5194/acp-19-5331-2019
- Aerosol–cloud interactions in mixed-phase convective clouds – Part 2: Meteorological ensemble A. Miltenberger et al. 10.5194/acp-18-10593-2018
- Is a more physical representation of aerosol activation needed for simulations of fog? C. Poku et al. 10.5194/acp-21-7271-2021
- A strong statistical link between aerosol indirect effects and the self-similarity of rainfall distributions K. Furtado & P. Field 10.5194/acp-22-3391-2022
- Effects of aerosol in simulations of realistic shallow cumulus cloud fields in a large domain G. Spill et al. 10.5194/acp-19-13507-2019
- Summertime cloud phase strongly influences surface melting on the Larsen C ice shelf, Antarctica E. Gilbert et al. 10.1002/qj.3753
- Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment P. Marinescu et al. 10.1175/JAS-D-20-0200.1
- Evaluation of the Bulk Mass Flux Formulation Using Large-Eddy Simulations J. Gu et al. 10.1175/JAS-D-19-0224.1
- Aerosol midlatitude cyclone indirect effects in observations and high-resolution simulations D. McCoy et al. 10.5194/acp-18-5821-2018
- Contribution of regional aerosol nucleation to low-level CCN in an Amazonian deep convective environment: results from a regionally nested global model X. Wang et al. 10.5194/acp-23-4431-2023
- A model intercomparison of CCN-limited tenuous clouds in the high Arctic R. Stevens et al. 10.5194/acp-18-11041-2018
- Evaluating the CoMorph‐A parametrization using idealized simulations of the two‐way coupling between convection and large‐scale dynamics C. Daleu et al. 10.1002/qj.4547
- The decomposition of cloud–aerosol forcing in the UK Earth System Model (UKESM1) D. Grosvenor & K. Carslaw 10.5194/acp-20-15681-2020
- NUMAC: Description of the Nested Unified Model With Aerosols and Chemistry, and Evaluation With KORUS‐AQ Data H. Gordon et al. 10.1029/2022MS003457
- Chemistry-driven changes strongly influence climate forcing from vegetation emissions J. Weber et al. 10.1038/s41467-022-34944-9
- Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles J. Vergara-Temprado et al. 10.1073/pnas.1721627115
- Cloud Microphysical Factors Affecting Simulations of Deep Convection During the Presummer Rainy Season in Southern China K. Furtado et al. 10.1029/2017JD028192
- Biomass smoke from southern Africa can significantly enhance the brightness of stratocumulus over the southeastern Atlantic Ocean Z. Lu et al. 10.1073/pnas.1713703115
- The role of droplet sedimentation in the evolution of low-level clouds over southern West Africa C. Dearden et al. 10.5194/acp-18-14253-2018
- Composited structure of non‐precipitating shallow cumulus clouds J. Gu et al. 10.1002/qj.4101
- Satellite retrieval of cloud base height and geometric thickness of low-level cloud based on CALIPSO X. Lu et al. 10.5194/acp-21-11979-2021
- Aerosol–cloud interactions in mixed-phase convective clouds – Part 1: Aerosol perturbations A. Miltenberger et al. 10.5194/acp-18-3119-2018
- Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives D. Grosvenor et al. 10.1029/2017RG000593
- The CLoud–Aerosol–Radiation Interaction and Forcing: Year 2017 (CLARIFY-2017) measurement campaign J. Haywood et al. 10.5194/acp-21-1049-2021
- Coalescence Scavenging Drives Droplet Number Concentration in Southern Ocean Low Clouds L. Kang et al. 10.1029/2022GL097819
- Identifying climate model structural inconsistencies allows for tight constraint of aerosol radiative forcing L. Regayre et al. 10.5194/acp-23-8749-2023
- Memory Properties in Cloud‐Resolving Simulations of the Diurnal Cycle of Deep Convection C. Daleu et al. 10.1029/2019MS001897
- Model emulation to understand the joint effects of ice-nucleating particles and secondary ice production on deep convective anvil cirrus R. Hawker et al. 10.5194/acp-21-17315-2021
- Aerosol radiative effects on mesoscale cloud–precipitation variables over Northeast Asia during the MAPS-Seoul 2015 campaign S. Park et al. 10.1016/j.atmosenv.2017.10.044
- Contrasting Responses of Idealised and Realistic Simulations of Shallow Cumuli to Aerosol Perturbations G. Spill et al. 10.1029/2021GL094137
- Development of aerosol activation in the double-moment Unified Model and evaluation with CLARIFY measurements H. Gordon et al. 10.5194/acp-20-10997-2020
- Evaluating Arctic clouds modelled with the Unified Model and Integrated Forecasting System G. McCusker et al. 10.5194/acp-23-4819-2023
- The effects of cloud–aerosol interaction complexity on simulations of presummer rainfall over southern China K. Furtado et al. 10.5194/acp-20-5093-2020
- How Cloud Droplet Number Concentration Impacts Liquid Water Path and Precipitation in Marine Stratocumulus Clouds—A Satellite-Based Analysis Using Explainable Machine Learning L. Zipfel et al. 10.3390/atmos15050596
- Assessment of aerosol–cloud–radiation correlations in satellite observations, climate models and reanalysis F. Bender et al. 10.1007/s00382-018-4384-z
- How important are aerosol–fog interactions for the successful modelling of nocturnal radiation fog? C. Poku et al. 10.1002/wea.3503
- The temperature dependence of ice-nucleating particle concentrations affects the radiative properties of tropical convective cloud systems R. Hawker et al. 10.5194/acp-21-5439-2021
- Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations L. Zipfel et al. 10.3390/atmos13040586
- Large simulated radiative effects of smoke in the south-east Atlantic H. Gordon et al. 10.5194/acp-18-15261-2018
- Chemistry-albedo feedbacks offset up to a third of forestation’s CO 2 removal benefits J. Weber et al. 10.1126/science.adg6196
- Weak liquid water path response in ship tracks A. Tippett et al. 10.5194/acp-24-13269-2024
- Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic D. Grosvenor & K. Carslaw 10.5194/acp-23-6743-2023
Latest update: 30 May 2025
Short summary
We used a weather model to simulate low-level layer clouds that lie off the coast of Chile and tested how they would be affected by airborne particulate matter (aerosols) according to the model. We found that as aerosols were increased, the clouds reflected more and more of the sun’s incoming energy due to the combined effects of the cloud droplets becoming smaller, the thickening of clouds, and increased areal coverage. However, the latter two effects were only important at low aerosol levels.
We used a weather model to simulate low-level layer clouds that lie off the coast of Chile and...
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