Articles | Volume 19, issue 10
https://doi.org/10.5194/acp-19-6821-2019
© 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-19-6821-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 May 2019
Research article |
| 22 May 2019
| 22 May 2019
Anthropogenic aerosol forcing – insights from multiple estimates from aerosol-climate models with reduced complexity
Stephanie Fiedler
CORRESPONDING AUTHOR
Max Planck Institute for Meteorology, Atmosphere in the Earth System, Hamburg, Germany
Stefan Kinne
Max Planck Institute for Meteorology, Atmosphere in the Earth System, Hamburg, Germany
Wan Ting Katty Huang
Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
Petri Räisänen
Finnish Meteorological Institute, Helsinki, Finland
Declan O'Donnell
Finnish Meteorological Institute, Helsinki, Finland
Nicolas Bellouin
Department of Meteorology, University of Reading, Reading, UK
Philip Stier
Department of Physics, University of Oxford, Oxford, UK
Joonas Merikanto
Finnish Meteorological Institute, Helsinki, Finland
Twan van Noije
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Risto Makkonen
Finnish Meteorological Institute, Helsinki, Finland
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of
Helsinki, Helsinki, Finland
Ulrike Lohmann
Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
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34 citations as recorded by crossref.
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
- The spatially heterogeneous response of aerosol properties to anthropogenic activities and meteorology changes in China during 1980–2018 based on the singular value decomposition method S. Ding et al. https://doi.org/10.1016/j.scitotenv.2020.138135
- Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
- Role of climate model dynamics in estimated climate responses to anthropogenic aerosols K. Nordling et al. https://doi.org/10.5194/acp-19-9969-2019
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. https://doi.org/10.1029/2022RG000796
- Historical Changes and Reasons for Model Differences in Anthropogenic Aerosol Forcing in CMIP6 S. Fiedler et al. https://doi.org/10.1029/2023GL104848
- Can satellite products monitor solar brightening in Europe? R. Urraca et al. https://doi.org/10.1016/j.rse.2024.114472
- Energy Budget Constraints on the Time History of Aerosol Forcing and Climate Sensitivity C. Smith et al. https://doi.org/10.1029/2020JD033622
- ChAP 1.0: a stationary tropospheric sulfur cycle for Earth system models of intermediate complexity A. Eliseev et al. https://doi.org/10.5194/gmd-14-7725-2021
- Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System L. Rontu et al. https://doi.org/10.3390/atmos11020205
- Characteristics of aerosol optical depth over land types in central Asia J. Liu et al. https://doi.org/10.1016/j.scitotenv.2020.138676
- Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP R. Lamboll et al. https://doi.org/10.5194/gmd-14-3683-2021
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. https://doi.org/10.5194/gmd-13-1635-2020
- Aerosol radiative effects with MACv2 S. Kinne https://doi.org/10.5194/acp-19-10919-2019
- Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing J. Johnson et al. https://doi.org/10.5194/acp-20-9491-2020
- Understanding the surface temperature response and its uncertainty to CO2, CH4, black carbon, and sulfate K. Nordling et al. https://doi.org/10.5194/acp-21-14941-2021
- CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023 K. Karlsson et al. https://doi.org/10.5194/essd-15-4901-2023
- Convection-permitting climate simulations for South America with the Met Office Unified Model K. Halladay et al. https://doi.org/10.1007/s00382-023-06853-0
- Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations R. Herbert et al. https://doi.org/10.5194/acp-25-7789-2025
- How Does the North Atlantic SST Pattern Respond to Anthropogenic Aerosols in the 1970s and 2000s? S. Fiedler & D. Putrasahan https://doi.org/10.1029/2020GL092142
- Origins of a Relatively Tight Lower Bound on Anthropogenic Aerosol Radiative Forcing from Bayesian Analysis of Historical Observations A. Albright et al. https://doi.org/10.1175/JCLI-D-21-0167.1
- Stronger Response to the Aerosol Indirect Effect Due To Cooling in Remote Regions L. Huusko et al. https://doi.org/10.1029/2022GL101184
- How Asian aerosols impact regional surface temperatures across the globe J. Merikanto et al. https://doi.org/10.5194/acp-21-5865-2021
- Aerosol Forcing Masks and Delays the Formation of the North Atlantic Warming Hole by Three Decades G. Dagan et al. https://doi.org/10.1029/2020GL090778
- Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery S. Fiedler et al. https://doi.org/10.1016/j.atmosres.2021.105866
- Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. https://doi.org/10.5194/gmd-17-2387-2024
- Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. https://doi.org/10.1029/2022MS003571
- The impact of aerosol-cloud interaction on mesoscale numerical weather prediction when low-cloud and haze coexist in winter over major polluted regions of China W. Zhang et al. https://doi.org/10.1016/j.atmosenv.2023.120270
- Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. https://doi.org/10.3390/atmos12030406
- Anthropogenic aerosol forcing under the Shared Socioeconomic Pathways M. Lund et al. https://doi.org/10.5194/acp-19-13827-2019
- Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. https://doi.org/10.5194/acp-22-9129-2022
- Quantifying the Role of Model Internal Year-to-Year Variability in Estimating Anthropogenic Aerosol Radiative Effects X. Shi & Y. Zeng https://doi.org/10.3390/atmos15010079
- The Dependence of Mean Climate State on Shortwave Absorption by Water Vapor H. Kim et al. https://doi.org/10.1175/JCLI-D-21-0417.1
- REMO2020: a modernised modular regional climate model J. Pietikäinen et al. https://doi.org/10.5194/gmd-18-7907-2025
34 citations as recorded by crossref.
- Bounding Global Aerosol Radiative Forcing of Climate Change N. Bellouin et al. https://doi.org/10.1029/2019RG000660
- The spatially heterogeneous response of aerosol properties to anthropogenic activities and meteorology changes in China during 1980–2018 based on the singular value decomposition method S. Ding et al. https://doi.org/10.1016/j.scitotenv.2020.138135
- Comparison of Anthropogenic Aerosol Climate Effects among Three Climate Models with Reduced Complexity X. Shi et al. https://doi.org/10.3390/atmos10080456
- Role of climate model dynamics in estimated climate responses to anthropogenic aerosols K. Nordling et al. https://doi.org/10.5194/acp-19-9969-2019
- Reducing Aerosol Forcing Uncertainty by Combining Models With Satellite and Within‐The‐Atmosphere Observations: A Three‐Way Street R. Kahn et al. https://doi.org/10.1029/2022RG000796
- Historical Changes and Reasons for Model Differences in Anthropogenic Aerosol Forcing in CMIP6 S. Fiedler et al. https://doi.org/10.1029/2023GL104848
- Can satellite products monitor solar brightening in Europe? R. Urraca et al. https://doi.org/10.1016/j.rse.2024.114472
- Energy Budget Constraints on the Time History of Aerosol Forcing and Climate Sensitivity C. Smith et al. https://doi.org/10.1029/2020JD033622
- ChAP 1.0: a stationary tropospheric sulfur cycle for Earth system models of intermediate complexity A. Eliseev et al. https://doi.org/10.5194/gmd-14-7725-2021
- Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System L. Rontu et al. https://doi.org/10.3390/atmos11020205
- Characteristics of aerosol optical depth over land types in central Asia J. Liu et al. https://doi.org/10.1016/j.scitotenv.2020.138676
- Modifying emissions scenario projections to account for the effects of COVID-19: protocol for CovidMIP R. Lamboll et al. https://doi.org/10.5194/gmd-14-3683-2021
- Coupling aerosols to (cirrus) clouds in the global EMAC-MADE3 aerosol–climate model M. Righi et al. https://doi.org/10.5194/gmd-13-1635-2020
- Aerosol radiative effects with MACv2 S. Kinne https://doi.org/10.5194/acp-19-10919-2019
- Robust observational constraint of uncertain aerosol processes and emissions in a climate model and the effect on aerosol radiative forcing J. Johnson et al. https://doi.org/10.5194/acp-20-9491-2020
- Understanding the surface temperature response and its uncertainty to CO2, CH4, black carbon, and sulfate K. Nordling et al. https://doi.org/10.5194/acp-21-14941-2021
- CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023 K. Karlsson et al. https://doi.org/10.5194/essd-15-4901-2023
- Convection-permitting climate simulations for South America with the Met Office Unified Model K. Halladay et al. https://doi.org/10.1007/s00382-023-06853-0
- Regional variability of aerosol impacts on clouds and radiation in global kilometer-scale simulations R. Herbert et al. https://doi.org/10.5194/acp-25-7789-2025
- How Does the North Atlantic SST Pattern Respond to Anthropogenic Aerosols in the 1970s and 2000s? S. Fiedler & D. Putrasahan https://doi.org/10.1029/2020GL092142
- Origins of a Relatively Tight Lower Bound on Anthropogenic Aerosol Radiative Forcing from Bayesian Analysis of Historical Observations A. Albright et al. https://doi.org/10.1175/JCLI-D-21-0167.1
- Stronger Response to the Aerosol Indirect Effect Due To Cooling in Remote Regions L. Huusko et al. https://doi.org/10.1029/2022GL101184
- How Asian aerosols impact regional surface temperatures across the globe J. Merikanto et al. https://doi.org/10.5194/acp-21-5865-2021
- Aerosol Forcing Masks and Delays the Formation of the North Atlantic Warming Hole by Three Decades G. Dagan et al. https://doi.org/10.1029/2020GL090778
- Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery S. Fiedler et al. https://doi.org/10.1016/j.atmosres.2021.105866
- Interactions between atmospheric composition and climate change – progress in understanding and future opportunities from AerChemMIP, PDRMIP, and RFMIP S. Fiedler et al. https://doi.org/10.5194/gmd-17-2387-2024
- Addressing Complexity in Global Aerosol Climate Model Cloud Microphysics U. Proske et al. https://doi.org/10.1029/2022MS003571
- The impact of aerosol-cloud interaction on mesoscale numerical weather prediction when low-cloud and haze coexist in winter over major polluted regions of China W. Zhang et al. https://doi.org/10.1016/j.atmosenv.2023.120270
- Estimating the CMIP6 Anthropogenic Aerosol Radiative Effects with the Advantage of Prescribed Aerosol Forcing X. Shi et al. https://doi.org/10.3390/atmos12030406
- Anthropogenic aerosol forcing under the Shared Socioeconomic Pathways M. Lund et al. https://doi.org/10.5194/acp-19-13827-2019
- Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. https://doi.org/10.5194/acp-22-9129-2022
- Quantifying the Role of Model Internal Year-to-Year Variability in Estimating Anthropogenic Aerosol Radiative Effects X. Shi & Y. Zeng https://doi.org/10.3390/atmos15010079
- The Dependence of Mean Climate State on Shortwave Absorption by Water Vapor H. Kim et al. https://doi.org/10.1175/JCLI-D-21-0417.1
- REMO2020: a modernised modular regional climate model J. Pietikäinen et al. https://doi.org/10.5194/gmd-18-7907-2025
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