Articles | Volume 16, issue 21
https://doi.org/10.5194/acp-16-13619-2016
© Author(s) 2016. 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-16-13619-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Nov 2016
Research article |
| 03 Nov 2016
Effect of aerosol subgrid variability on aerosol optical depth and cloud condensation nuclei: implications for global aerosol modelling
Natalie Weigum
Department of Physics, University of Oxford, Oxford, UK
Nick Schutgens
Department of Physics, University of Oxford, Oxford, UK
Philip Stier
CORRESPONDING AUTHOR
Department of Physics, University of Oxford, Oxford, UK
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- Using aircraft measurements to characterize subgrid-scale variability of aerosol properties near the Atmospheric Radiation Measurement Southern Great Plains site J. Fast et al. https://doi.org/10.5194/acp-22-11217-2022
- Sensitivity of cloud structure and precipitation to cloud microphysics schemes in ICON and implications for global km-scale simulations M. Sela et al. https://doi.org/10.5194/gmd-19-8191-2026
- The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. https://doi.org/10.5194/acp-17-1511-2017
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- Marine productivity and synoptic meteorology drive summer-time variability in Southern Ocean aerosols J. Alroe et al. https://doi.org/10.5194/acp-20-8047-2020
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19 citations as recorded by crossref.
- Subgrid-scale variability in clear-sky relative humidity and forcing by aerosol–radiation interactions in an atmosphere model P. Petersik et al. https://doi.org/10.5194/acp-18-8589-2018
- SALSA2.0: The sectional aerosol module of the aerosol–chemistry–climate model ECHAM6.3.0-HAM2.3-MOZ1.0 H. Kokkola et al. https://doi.org/10.5194/gmd-11-3833-2018
- On the spatio-temporal representativeness of observations N. Schutgens et al. https://doi.org/10.5194/acp-17-9761-2017
- Idealized particle-resolved large-eddy simulations to evaluate the impact of emissions spatial heterogeneity on CCN activity S. Frederick et al. https://doi.org/10.5194/acp-26-4863-2026
- Quantifying the sensitivity of aerosol optical properties to the parameterizations of physico-chemical processes during the 2010 Russian wildfires and heatwave L. Palacios-Peña et al. https://doi.org/10.5194/acp-20-9679-2020
- Municipal solid waste open burning: an overview of inventory and dispersion modelling of emerging pollutant emissions O. Ogunkunle et al. https://doi.org/10.1007/s42768-026-00280-7
- Biomass burning aerosol over the Amazon: analysis of aircraft, surface and satellite observations using a global aerosol model C. Reddington et al. https://doi.org/10.5194/acp-19-9125-2019
- Using aircraft measurements to characterize subgrid-scale variability of aerosol properties near the Atmospheric Radiation Measurement Southern Great Plains site J. Fast et al. https://doi.org/10.5194/acp-22-11217-2022
- Sensitivity of cloud structure and precipitation to cloud microphysics schemes in ICON and implications for global km-scale simulations M. Sela et al. https://doi.org/10.5194/gmd-19-8191-2026
- The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. https://doi.org/10.5194/acp-17-1511-2017
- Spatial and temporal CCN variations in convection-permitting aerosol microphysics simulations in an idealised marine tropical domain C. Planche et al. https://doi.org/10.5194/acp-17-3371-2017
- Effect of discrepancies caused by model resolution on model-measurement comparison for surface black carbon T. Sun et al. https://doi.org/10.1016/j.atmosenv.2020.118178
- Marine productivity and synoptic meteorology drive summer-time variability in Southern Ocean aerosols J. Alroe et al. https://doi.org/10.5194/acp-20-8047-2020
- Time series prediction of aerosol optical depth across the northern Indian region: integrating PSO-optimized SARIMA-SVR based on MODIS data N. Panicker & J. Valarmathi https://doi.org/10.1007/s11600-024-01472-7
- Measurement report: An investigation of the spatiotemporal variability in aerosols in the mountainous terrain of the upper Colorado River basin using SAIL-Net L. Gibson et al. https://doi.org/10.5194/acp-25-2745-2025
- Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
- Modelling and forecasting of CERES-retrieved ultraviolet radiation and AOD using a seasonal-ARIMA model in urban regions of Indo-Gangetic Plain A. Mall & S. Singh https://doi.org/10.1016/j.atmosenv.2025.121570
- Effects of near-source coagulation of biomass burning aerosols on global predictions of aerosol size distributions and implications for aerosol radiative effects E. Ramnarine et al. https://doi.org/10.5194/acp-19-6561-2019
- A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province S. Deng et al. https://doi.org/10.3390/rs17081396
Saved (final revised paper)
Latest update: 09 Sep 2026
Short summary
We introduce a novel technique to isolate the effect of aerosol variability in models from other sources of variability by varying the resolution of aerosol and trace gas fields while maintaining a constant resolution in the rest of the model.
Our results show that aerosol variability has a large impact on simulating aerosol climate effects, even when meteorology and dynamics are fixed. Processes most affected are gas-phase chemistry and aerosol uptake of water through equilibrium reactions.
Our results show that aerosol variability has a large impact on simulating aerosol climate effects, even when meteorology and dynamics are fixed. Processes most affected are gas-phase chemistry and aerosol uptake of water through equilibrium reactions.
We introduce a novel technique to isolate the effect of aerosol variability in models from other...
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