Articles | Volume 17, issue 9
https://doi.org/10.5194/acp-17-5877-2017
© 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-17-5877-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Sensitivity study of cloud parameterizations with relative dispersion in CAM5.1: impacts on aerosol indirect effects
SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
He Zhang
International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Xiaodong Liu
SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
University of Chinese Academy of Sciences, Beijing 100049, China
Yiran Peng
Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, and Joint Center for Global Change Studies (JCGCS), Tsinghua University, Beijing 100084, China
Yangang Liu
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973-5000, USA
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Cited
22 citations as recorded by crossref.
- Role of microphysical parameterizations with droplet relative dispersion in IAP AGCM 4.1 X. Xie et al. 10.1007/s00376-017-7083-5
- Simulation study on the indirect effect of sulfate on the summer climate over the eastern China monsoon region D. Wang et al. 10.1038/s41598-021-87832-5
- Comparison of two double-moment microphysics schemes in aspects of warm-rain droplet spectra and raindrop budget H. LEI et al. 10.1080/16742834.2019.1664882
- Large Eddy Simulation of Microphysics and Influencing Factors in Shallow Convective Clouds Z. Zhou et al. 10.3390/atmos12040485
- Quantifying the dependence of drop spectrum width on cloud drop number concentration for cloud remote sensing M. Lebsock & M. Witte 10.5194/acp-23-14293-2023
- Review of Chinese atmospheric science research over the past 70 years: Atmospheric physics and atmospheric environment T. Wang et al. 10.1007/s11430-019-9536-1
- Modulation of Mid‐Holocene African Rainfall by Dust Aerosol Direct and Indirect Effects A. Thompson et al. 10.1029/2018GL081225
- Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi‐Analytical Parameterizations in NCAR CAM5.3 M. Wang et al. 10.1029/2020EA001276
- Sensitivities of Amazonian clouds to aerosols and updraft speed M. Cecchini et al. 10.5194/acp-17-10037-2017
- Fast and Slow Responses of the Indian Summer Monsoon to the Direct Radiative Effect of West Asian Dust Aerosols A. Wang et al. 10.3389/fenvs.2022.877874
- Consideration of Initial Cloud Droplet Size Distribution Shapes in Quantifying Different Entrainment‐Mixing Mechanisms S. Luo et al. 10.1029/2020JD034455
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- Development of a triple-moment ice-phase cloud microphysics scheme and its application to the Single Column Atmosphere Model X. He et al. 10.1360/TB-2022-0697
- Anthropogenic sulfate aerosol pollution in South and East Asia induces increased summer precipitation over arid Central Asia X. Xie et al. 10.1038/s43247-022-00660-x
- 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
- Evaluating the influence of meteorite impact events on global potassium feldspar availability to the atmosphere since 600 Ma B. Coldwell & M. Pankhurst 10.1144/jgs2018-084
- Observational Evidences for a Generalized Parameterization Scheme for Cloud Droplet Relative Dispersion M. Zhang et al. 10.2139/ssrn.4088375
- Predicting Frigid Mixed‐Phase Clouds for Pristine Coastal Antarctica K. Hines et al. 10.1029/2021JD035112
- The Importance of the Shape Parameter in a Bulk Parameterization Scheme to the Evolution of the Cloud Droplet Spectrum during Condensation J. Zhang et al. 10.1007/s00376-022-2065-7
- Diverse Dispersion Effects and Parameterization of Relative Dispersion in Urban Fog in Eastern China Y. Wang et al. 10.1029/2022JD037514
- Role of droplet size classes on the cloud droplet spectral dispersion as observed over the Western Ghats K. Ansari et al. 10.1016/j.atmosres.2020.105104
- An airborne study of the aerosol effect on the dispersion of cloud droplets in a drizzling marine stratocumulus cloud over eastern China F. Wang et al. 10.1016/j.atmosres.2021.105885
22 citations as recorded by crossref.
- Role of microphysical parameterizations with droplet relative dispersion in IAP AGCM 4.1 X. Xie et al. 10.1007/s00376-017-7083-5
- Simulation study on the indirect effect of sulfate on the summer climate over the eastern China monsoon region D. Wang et al. 10.1038/s41598-021-87832-5
- Comparison of two double-moment microphysics schemes in aspects of warm-rain droplet spectra and raindrop budget H. LEI et al. 10.1080/16742834.2019.1664882
- Large Eddy Simulation of Microphysics and Influencing Factors in Shallow Convective Clouds Z. Zhou et al. 10.3390/atmos12040485
- Quantifying the dependence of drop spectrum width on cloud drop number concentration for cloud remote sensing M. Lebsock & M. Witte 10.5194/acp-23-14293-2023
- Review of Chinese atmospheric science research over the past 70 years: Atmospheric physics and atmospheric environment T. Wang et al. 10.1007/s11430-019-9536-1
- Modulation of Mid‐Holocene African Rainfall by Dust Aerosol Direct and Indirect Effects A. Thompson et al. 10.1029/2018GL081225
- Understanding Cloud Droplet Spectral Dispersion Effect Using Empirical and Semi‐Analytical Parameterizations in NCAR CAM5.3 M. Wang et al. 10.1029/2020EA001276
- Sensitivities of Amazonian clouds to aerosols and updraft speed M. Cecchini et al. 10.5194/acp-17-10037-2017
- Fast and Slow Responses of the Indian Summer Monsoon to the Direct Radiative Effect of West Asian Dust Aerosols A. Wang et al. 10.3389/fenvs.2022.877874
- Consideration of Initial Cloud Droplet Size Distribution Shapes in Quantifying Different Entrainment‐Mixing Mechanisms S. Luo et al. 10.1029/2020JD034455
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- Development of a triple-moment ice-phase cloud microphysics scheme and its application to the Single Column Atmosphere Model X. He et al. 10.1360/TB-2022-0697
- Anthropogenic sulfate aerosol pollution in South and East Asia induces increased summer precipitation over arid Central Asia X. Xie et al. 10.1038/s43247-022-00660-x
- 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
- Evaluating the influence of meteorite impact events on global potassium feldspar availability to the atmosphere since 600 Ma B. Coldwell & M. Pankhurst 10.1144/jgs2018-084
- Observational Evidences for a Generalized Parameterization Scheme for Cloud Droplet Relative Dispersion M. Zhang et al. 10.2139/ssrn.4088375
- Predicting Frigid Mixed‐Phase Clouds for Pristine Coastal Antarctica K. Hines et al. 10.1029/2021JD035112
- The Importance of the Shape Parameter in a Bulk Parameterization Scheme to the Evolution of the Cloud Droplet Spectrum during Condensation J. Zhang et al. 10.1007/s00376-022-2065-7
- Diverse Dispersion Effects and Parameterization of Relative Dispersion in Urban Fog in Eastern China Y. Wang et al. 10.1029/2022JD037514
- Role of droplet size classes on the cloud droplet spectral dispersion as observed over the Western Ghats K. Ansari et al. 10.1016/j.atmosres.2020.105104
- An airborne study of the aerosol effect on the dispersion of cloud droplets in a drizzling marine stratocumulus cloud over eastern China F. Wang et al. 10.1016/j.atmosres.2021.105885
Latest update: 16 Aug 2024
Short summary
New complete cloud parameterizations of cloud droplet effective radius and the two-moment cloud-to-rain autoconversion process explicitly accounting for dispersion are implemented into CAM5.1. The results show that the consideration of dispersion effect can significantly reduce the changes induced by anthropogenic aerosols in the cloud-top effective radius and the liquid water path, which reduces the AIF substantially at a global scale, especially in the Northern Hemisphere.
New complete cloud parameterizations of cloud droplet effective radius and the two-moment...
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