Articles | Volume 12, issue 24
https://doi.org/10.5194/acp-12-12061-2012
© Author(s) 2012. 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-12-12061-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Dec 2012
Research article |
| 19 Dec 2012
Sensitivity studies of dust ice nuclei effect on cirrus clouds with the Community Atmosphere Model CAM5
X. Liu
Atmospheric Science & Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
X. Shi
Atmospheric Science & Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
K. Zhang
Atmospheric Science & Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
E. J. Jensen
NASA Ames Research Center, Moffett Field, CA, USA
A. Gettelman
National Center for Atmospheric Research, Boulder, CO, USA
D. Barahona
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
I. M. Systems Group, Rockville, MD, USA
A. Nenes
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA, USA
P. Lawson
SPEC Inc., Boulder, CO, USA
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64 citations as recorded by crossref.
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- Quantifying sensitivities of ice crystal number and sources of ice crystal number variability in CAM 5.1 using the adjoint of a physically based cirrus formation parameterization B. Sheyko et al. 10.1002/2014JD022457
- Modelling of mineral dust for interglacial and glacial climate conditions with a focus on Antarctica N. Sudarchikova et al. 10.5194/cp-11-765-2015
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- Laboratory measurements and model sensitivity studies of dust deposition ice nucleation G. Kulkarni et al. 10.5194/acp-12-7295-2012
- Cirrus cloud seeding has potential to cool climate T. Storelvmo et al. 10.1029/2012GL054201
- Investigation of aerosol indirect effects using a cumulus microphysics parameterization in a regional climate model K. Lim et al. 10.1002/2013JD020958
61 citations as recorded by crossref.
- Ice nucleation of bare and sulfuric acid‐coated mineral dust particles and implication for cloud properties G. Kulkarni et al. 10.1002/2014JD021567
- On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models S. Zhang et al. 10.5194/acp-16-2765-2016
- Utilizing Cloud Computing to address big geospatial data challenges C. Yang et al. 10.1016/j.compenvurbsys.2016.10.010
- Cirrus cloud seeding: a climate engineering mechanism with reduced side effects? T. Storelvmo et al. 10.1098/rsta.2014.0116
- Effect of cloud‐scale vertical velocity on the contribution of homogeneous nucleation to cirrus formation and radiative forcing X. Shi & X. Liu 10.1002/2016GL069531
- Observational evidence for the convective transport of dust over the Central United States C. Corr et al. 10.1002/2015JD023789
- The global distribution of mineral dust and its impacts on the climate system: A review O. Choobari et al. 10.1016/j.atmosres.2013.11.007
- Global Dust Transport as Observed by A-Train Satellites T. Luo et al. 10.1051/epjconf/201611908010
- Perturbed physics ensemble simulations of cirrus on the cloud system‐resolving scale A. Muhlbauer et al. 10.1002/2013JD020709
- Sensitivities of simulated global aerosol optical depth and aerosol-radiation interactions to different horizontal resolutions in CAS-FGOALS-f3 M. Zhao et al. 10.1016/j.atmosenv.2021.118920
- Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. 10.1016/j.atmosenv.2018.07.016
- Evaluating and constraining ice cloud parameterizations in CAM5 using aircraft measurements from the SPARTICUS campaign K. Zhang et al. 10.5194/acp-13-4963-2013
- Global Radiative Impacts of Mineral Dust Perturbations Through Stratiform Clouds Z. McGraw et al. 10.1029/2019JD031807
- The Geoengineering Model Intercomparison Project Phase 6 (GeoMIP6): simulation design and preliminary results B. Kravitz et al. 10.5194/gmd-8-3379-2015
- Transport Patterns, Size Distributions, and Depolarization Characteristics of Dust Particles in East Asia in Spring 2018 Y. Tian et al. 10.1029/2019JD031752
- Contribution of the world's main dust source regions to the global cycle of desert dust J. Kok et al. 10.5194/acp-21-8169-2021
- Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6 R. Patnaude et al. 10.5194/acp-21-1835-2021
- Gaps in our understanding of ice-nucleating particle sources exposed by global simulation of the UK Earth System Model R. Herbert et al. 10.5194/acp-25-291-2025
- Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. 10.5194/acp-16-2611-2016
- The Atmospheric Infrared Sounder version 6 cloud products B. Kahn et al. 10.5194/acp-14-399-2014
- Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC C. Beer et al. 10.5194/acp-24-3217-2024
- Sensitivity of CAM5-Simulated Arctic Clouds and Radiation to Ice Nucleation Parameterization S. Xie et al. 10.1175/JCLI-D-12-00517.1
- A comprehensive parameterization of heterogeneous ice nucleation of dust surrogate: laboratory study with hematite particles and its application to atmospheric models N. Hiranuma et al. 10.5194/acp-14-13145-2014
- Cirrus cloud thinning using a more physically based ice microphysics scheme in the ECHAM-HAM general circulation model C. Tully et al. 10.5194/acp-22-11455-2022
- Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
- A process‐oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia C. Wu et al. 10.1002/2016MS000723
- Investigating ice nucleation in cirrus clouds with an aerosol‐enabled Multiscale Modeling Framework C. Zhang et al. 10.1002/2014MS000343
- Enhanced Snow Absorption and Albedo Reduction by Dust‐Snow Internal Mixing: Modeling and Parameterization C. He et al. 10.1029/2019MS001737
- Development of two-moment cloud microphysics for liquid and ice within the NASA Goddard Earth Observing System Model (GEOS-5) D. Barahona et al. 10.5194/gmd-7-1733-2014
- Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
- Effects of pre-existing ice crystals on cirrus clouds and comparison between different ice nucleation parameterizations with the Community Atmosphere Model (CAM5) X. Shi et al. 10.5194/acp-15-1503-2015
- Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM J. Wang et al. 10.1029/2021MS002628
- An ensemble constrained variational analysis of atmospheric forcing data and its application to evaluate clouds in CAM5 S. Tang et al. 10.1002/2015JD024167
- The sensitivity of global climate to the episodicity of fire aerosol emissions S. Clark et al. 10.1002/2015JD024068
- Aerosol effects on cirrus through ice nucleation in the Community Atmosphere Model CAM5 with a statistical cirrus scheme M. Wang et al. 10.1002/2014MS000339
- Airborne observations of the microphysical structure of two contrasting cirrus clouds S. O'Shea et al. 10.1002/2016JD025278
- What controls the low ice number concentration in the upper troposphere? C. Zhou et al. 10.5194/acp-16-12411-2016
- Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. 10.5194/acp-22-13067-2022
- Simulation of Ground-Level Particulate Matter Concentration with AOD and Related Meteorological Parameters: A Case Study on Kolkata by Random Forest and ANN E. Basu et al. 10.1007/s41810-025-00289-1
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- The soil fugitive dust emission assessment using satellite data: A case study in Beijing-Tianjin-Hebei and its surrounding areas (BTHSA) Y. Li et al. 10.1016/j.apr.2025.102482
- Aerosol Effects on Climate via Mixed-Phase and Ice Clouds T. Storelvmo 10.1146/annurev-earth-060115-012240
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Global dust distribution from improved thin dust layer detection using A‐train satellite lidar observations T. Luo et al. 10.1002/2014GL062111
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- Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds M. Chatziparaschos et al. 10.5194/acp-23-1785-2023
- Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. 10.5194/acp-17-4731-2017
- Quantifying sensitivities of ice crystal number and sources of ice crystal number variability in CAM 5.1 using the adjoint of a physically based cirrus formation parameterization B. Sheyko et al. 10.1002/2014JD022457
- Modelling of mineral dust for interglacial and glacial climate conditions with a focus on Antarctica N. Sudarchikova et al. 10.5194/cp-11-765-2015
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- East Asian dust storm in May 2017: observations, modelling, and its influence on the Asia-Pacific region X. Zhang et al. 10.5194/acp-18-8353-2018
- Ice Nucleation of Cirrus Clouds Related to the Transported Dust Layer Observed by Ground-Based Lidars over Wuhan, China Y. He et al. 10.1007/s00376-021-1192-x
- The impact of aerosols as ice nucleating particle on microphysics and electrification in the cumulus model Y. Yang et al. 10.1016/j.jaerosci.2024.106401
3 citations as recorded by crossref.
- Laboratory measurements and model sensitivity studies of dust deposition ice nucleation G. Kulkarni et al. 10.5194/acp-12-7295-2012
- Cirrus cloud seeding has potential to cool climate T. Storelvmo et al. 10.1029/2012GL054201
- Investigation of aerosol indirect effects using a cumulus microphysics parameterization in a regional climate model K. Lim et al. 10.1002/2013JD020958
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