Articles | Volume 17, issue 7
Atmos. Chem. Phys., 17, 4731–4749, 2017
https://doi.org/10.5194/acp-17-4731-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 17, 4731–4749, 2017
https://doi.org/10.5194/acp-17-4731-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 11 Apr 2017
Research article | 11 Apr 2017
Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations
Chenglai Wu et al.
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Cited
10 citations as recorded by crossref.
- Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5 Y. Wang et al. 10.1002/2017JD027213
- Can Quasi‐Periodic Gravity Waves Influence the Shape of Ice Crystals in Cirrus Clouds? S. Saha et al. 10.1029/2020GL087909
- Evaluation of Cloud and Precipitation Simulations in CAM6 and AM4 Using Observations Over the Southern Ocean X. Zhou et al. 10.1029/2020EA001241
- Cloud Phase and Relative Humidity Distributions over the Southern Ocean in Austral Summer Based on In Situ Observations and CAM5 Simulations J. D’Alessandro et al. 10.1175/JCLI-D-18-0232.1
- Evaluation of the CAM6 Climate Model Using Cloud Observations at McMurdo Station, Antarctica J. Yip et al. 10.1029/2021JD034653
- Ice and Supercooled Liquid Water Distributions Over the Southern Ocean Based on In Situ Observations and Climate Model Simulations C. Yang et al. 10.1029/2021JD036045
- Aerosol Indirect Effects on Cirrus Clouds Based on Global Aircraft Observations R. Patnaude & M. Diao 10.1029/2019GL086550
- 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
- Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0) D. Hamilton et al. 10.5194/gmd-12-3835-2019
- Cloud, Aerosol, and Boundary Layer Structure across the Northeast Pacific Stratocumulus–Cumulus Transition as Observed during CSET C. Bretherton et al. 10.1175/MWR-D-18-0281.1
10 citations as recorded by crossref.
- Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5 Y. Wang et al. 10.1002/2017JD027213
- Can Quasi‐Periodic Gravity Waves Influence the Shape of Ice Crystals in Cirrus Clouds? S. Saha et al. 10.1029/2020GL087909
- Evaluation of Cloud and Precipitation Simulations in CAM6 and AM4 Using Observations Over the Southern Ocean X. Zhou et al. 10.1029/2020EA001241
- Cloud Phase and Relative Humidity Distributions over the Southern Ocean in Austral Summer Based on In Situ Observations and CAM5 Simulations J. D’Alessandro et al. 10.1175/JCLI-D-18-0232.1
- Evaluation of the CAM6 Climate Model Using Cloud Observations at McMurdo Station, Antarctica J. Yip et al. 10.1029/2021JD034653
- Ice and Supercooled Liquid Water Distributions Over the Southern Ocean Based on In Situ Observations and Climate Model Simulations C. Yang et al. 10.1029/2021JD036045
- Aerosol Indirect Effects on Cirrus Clouds Based on Global Aircraft Observations R. Patnaude & M. Diao 10.1029/2019GL086550
- 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
- Improved methodologies for Earth system modelling of atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v1.0) D. Hamilton et al. 10.5194/gmd-12-3835-2019
- Cloud, Aerosol, and Boundary Layer Structure across the Northeast Pacific Stratocumulus–Cumulus Transition as Observed during CSET C. Bretherton et al. 10.1175/MWR-D-18-0281.1
Latest update: 25 Jan 2022
Short summary
This study utilizes a novel approach to directly compare the CAM5-simulated cloud macro- and microphysics with the collocated HIPPO observations for the period of 2009 to 2011. The model cannot capture the large spatial variabilities of observed RH, which is responsible for much of the model missing low-level warm clouds. A large portion of the RH bias results from the discrepancy in water vapor. The model underestimates the observed number concentration and ice water content.
This study utilizes a novel approach to directly compare the CAM5-simulated cloud macro- and...
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