Articles | Volume 20, issue 13
https://doi.org/10.5194/acp-20-8251-2020
© Author(s) 2020. 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-20-8251-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Response of surface shortwave cloud radiative effect to greenhouse gases and aerosols and its impact on summer maximum temperature
Division of Earth and Ocean Sciences, Duke University, Durham, NC, USA
Drew Shindell
Division of Earth and Ocean Sciences, Duke University, Durham, NC, USA
Yuqiang Zhang
Division of Earth and Ocean Sciences, Duke University, Durham, NC, USA
Apostolos Voulgarakis
Department of Physics, Imperial College London, London, UK
Jean-Francois Lamarque
National Center for Atmospheric Research, Boulder, CO, USA
Gunnar Myhre
CICERO, Center for International Climate and Environment Research, Oslo, Norway
Camilla W. Stjern
CICERO, Center for International Climate and Environment Research, Oslo, Norway
Gregory Faluvegi
Center for Climate System Research, Columbia University, New York, NY, USA
NASA Goddard Institute for Space Studies, New York, NY, USA
Bjørn H. Samset
CICERO, Center for International Climate and Environment Research, Oslo, Norway
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Cited
13 citations as recorded by crossref.
- Global patterns and drivers of post-fire vegetation productivity recovery H. Xu et al. https://doi.org/10.1038/s41561-024-01520-3
- Distinct surface response to black carbon aerosols T. Tang et al. https://doi.org/10.5194/acp-21-13797-2021
- Seasonal shifts in pan-Arctic Ocean downward radiation and key drivers Y. Liu et al. https://doi.org/10.1016/j.isci.2025.113399
- Aerosol sensitivity simulations over East Asia in a convection-permitting climate model S. Li et al. https://doi.org/10.1007/s00382-022-06620-7
- Coupled atmospheric radiative transfer–machine learning retrieval of cloud shortwave radiative forcing over the Qinghai–Xizang Plateau L. Wu et al. https://doi.org/10.1016/j.atmosres.2026.109065
- Evaluation and attribution of shortwave feedbacks to ENSO in CMIP6 models J. Huang et al. https://doi.org/10.1007/s00382-024-07190-6
- A 2-year intercomparison of three methods for measuring black carbon concentration at a high-altitude research station in Europe S. Tinorua et al. https://doi.org/10.5194/amt-17-3897-2024
- On the Association of the Summertime Shortwave Cloud Radiative Effect in Northern Russia With Atmospheric Circulation and Climate Over East Asia L. Liu et al. https://doi.org/10.1029/2021GL096606
- Recent progress in cloud physics and associated radiative effects in China from 2016 to 2022 C. Zhao et al. https://doi.org/10.1016/j.atmosres.2023.106899
- Mechanisms for regional compound hot extremes in the mid‐lower reaches of the Yangtze River Y. Li et al. https://doi.org/10.1002/joc.6808
- Wildfire aerosols and their impact on weather: A case study of the August 2021 fires in Greece using the WRF‐Chem model A. Rovithakis & A. Voulgarakis https://doi.org/10.1002/asl.1267
- Decadal trends in surface solar radiation and cloud cover over the North Atlantic sector during the last four decades: drivers and physical processes B. Dong et al. https://doi.org/10.1007/s00382-022-06438-3
- Total Cloud Cover Variability over the Last 150 Years in Padua, Italy C. Stefanini et al. https://doi.org/10.3390/geographies5040067
13 citations as recorded by crossref.
- Global patterns and drivers of post-fire vegetation productivity recovery H. Xu et al. https://doi.org/10.1038/s41561-024-01520-3
- Distinct surface response to black carbon aerosols T. Tang et al. https://doi.org/10.5194/acp-21-13797-2021
- Seasonal shifts in pan-Arctic Ocean downward radiation and key drivers Y. Liu et al. https://doi.org/10.1016/j.isci.2025.113399
- Aerosol sensitivity simulations over East Asia in a convection-permitting climate model S. Li et al. https://doi.org/10.1007/s00382-022-06620-7
- Coupled atmospheric radiative transfer–machine learning retrieval of cloud shortwave radiative forcing over the Qinghai–Xizang Plateau L. Wu et al. https://doi.org/10.1016/j.atmosres.2026.109065
- Evaluation and attribution of shortwave feedbacks to ENSO in CMIP6 models J. Huang et al. https://doi.org/10.1007/s00382-024-07190-6
- A 2-year intercomparison of three methods for measuring black carbon concentration at a high-altitude research station in Europe S. Tinorua et al. https://doi.org/10.5194/amt-17-3897-2024
- On the Association of the Summertime Shortwave Cloud Radiative Effect in Northern Russia With Atmospheric Circulation and Climate Over East Asia L. Liu et al. https://doi.org/10.1029/2021GL096606
- Recent progress in cloud physics and associated radiative effects in China from 2016 to 2022 C. Zhao et al. https://doi.org/10.1016/j.atmosres.2023.106899
- Mechanisms for regional compound hot extremes in the mid‐lower reaches of the Yangtze River Y. Li et al. https://doi.org/10.1002/joc.6808
- Wildfire aerosols and their impact on weather: A case study of the August 2021 fires in Greece using the WRF‐Chem model A. Rovithakis & A. Voulgarakis https://doi.org/10.1002/asl.1267
- Decadal trends in surface solar radiation and cloud cover over the North Atlantic sector during the last four decades: drivers and physical processes B. Dong et al. https://doi.org/10.1007/s00382-022-06438-3
- Total Cloud Cover Variability over the Last 150 Years in Padua, Italy C. Stefanini et al. https://doi.org/10.3390/geographies5040067
Saved (final revised paper)
Latest update: 07 Jun 2026
Short summary
By using climate simulations, we found that both CO2 and black carbon aerosols could reduce low-level cloud cover, which is mainly due to changes in relative humidity, cloud water, dynamics, and stability. Because the impact of cloud on solar radiation is in effect only during daytime, such cloud reduction could enhance solar heating, thereby raising the daily maximum temperature by 10–50 %, varying by region, which has great implications for extreme climate events and socioeconomic activity.
By using climate simulations, we found that both CO2 and black carbon aerosols could reduce...
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