Articles | Volume 19, issue 2
https://doi.org/10.5194/acp-19-1077-2019
© 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-19-1077-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jan 2019
Research article |
| 28 Jan 2019
| 28 Jan 2019
Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations in climate models
Department of Physics, University of Maryland, Baltimore County (UMBC),
Baltimore, MD, USA
Joint Center for Earth Systems Technology, UMBC, Baltimore, MD, USA
Hua Song
Joint Center for Earth Systems Technology, UMBC, Baltimore, MD, USA
Po-Lun Ma
Atmospheric Sciences and Global Change Division, Pacific Northwest National
Laboratory, Richland, WA, USA
Vincent E. Larson
Department of Mathematical Sciences, University of Wisconsin-Milwaukee,
Milwaukee, WI, USA
Minghuai Wang
Institute for Climate and Global Change Research, Nanjing University, Nanjing, China
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Xiquan Dong
Department of Hydrology & Atmospheric Sciences, The University of Arizona,
Tucson, AZ, USA
Jianwu Wang
Department of Information Systems, UMBC, Baltimore, MD, USA
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Cited
17 citations as recorded by crossref.
- Limitations of Bin and Bulk Microphysics in Reproducing the Observed Spatial Structure of Light Precipitation M. Witte et al. https://doi.org/10.1175/JAS-D-21-0134.1
- An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
- Climate Impact of Cloud Water Inhomogeneity through Microphysical Processes in a Global Climate Model H. Hotta et al. https://doi.org/10.1175/JCLI-D-19-0772.1
- Identifying Particle Growth Processes in Marine Low Clouds Using Spatial Variances of Imager‐Derived Cloud Parameters T. Nagao & K. Suzuki https://doi.org/10.1029/2020GL087121
- Subgrid-scale horizontal and vertical variation of cloud water in stratocumulus clouds: a case study based on LES and comparisons with in situ observations J. Covert et al. https://doi.org/10.5194/acp-22-1159-2022
- Understanding the Microphysical Control and Spatial‐Temporal Variability of Warm Rain Probability Using CloudSat and MODIS Observations Z. Zhang et al. https://doi.org/10.1029/2022GL098863
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. https://doi.org/10.5194/amt-14-4639-2021
- An Efficient and Accurate Algorithm for Computing Grid-Averaged Solar Fluxes for Horizontally Inhomogeneous Clouds Z. Jin & A. Lacis https://doi.org/10.1175/JAS-D-20-0167.1
- Locally narrow droplet size distributions are ubiquitous in stratocumulus clouds N. Allwayin et al. https://doi.org/10.1126/science.adi5550
- Improving the Treatment of Subgrid Cloud Variability in Warm Rain Simulation in CESM2 H. Wang et al. https://doi.org/10.1029/2022MS003103
- Observing short-timescale cloud development to constrain aerosol–cloud interactions E. Gryspeerdt et al. https://doi.org/10.5194/acp-22-11727-2022
- Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. https://doi.org/10.1126/sciadv.aaz6433
- Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. https://doi.org/10.5194/gmd-15-2881-2022
- New Observational Constraints on Warm Rain Processes and Their Climate Implications X. Dong et al. https://doi.org/10.1029/2020GL091836
- Aerosol Effects on Water Cloud Properties in Different Atmospheric Regimes P. Khatri et al. https://doi.org/10.1029/2023JD039729
- Vertical dependence of horizontal variation of cloud microphysics: observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models Z. Zhang et al. https://doi.org/10.5194/acp-21-3103-2021
- Insights of warm-cloud biases in Community Atmospheric Model 5 and 6 from the single-column modeling framework and Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) observations Y. Wang et al. https://doi.org/10.5194/acp-23-8591-2023
17 citations as recorded by crossref.
- Limitations of Bin and Bulk Microphysics in Reproducing the Observed Spatial Structure of Light Precipitation M. Witte et al. https://doi.org/10.1175/JAS-D-21-0134.1
- An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
- Climate Impact of Cloud Water Inhomogeneity through Microphysical Processes in a Global Climate Model H. Hotta et al. https://doi.org/10.1175/JCLI-D-19-0772.1
- Identifying Particle Growth Processes in Marine Low Clouds Using Spatial Variances of Imager‐Derived Cloud Parameters T. Nagao & K. Suzuki https://doi.org/10.1029/2020GL087121
- Subgrid-scale horizontal and vertical variation of cloud water in stratocumulus clouds: a case study based on LES and comparisons with in situ observations J. Covert et al. https://doi.org/10.5194/acp-22-1159-2022
- Understanding the Microphysical Control and Spatial‐Temporal Variability of Warm Rain Probability Using CloudSat and MODIS Observations Z. Zhang et al. https://doi.org/10.1029/2022GL098863
- Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. https://doi.org/10.5194/amt-14-4639-2021
- An Efficient and Accurate Algorithm for Computing Grid-Averaged Solar Fluxes for Horizontally Inhomogeneous Clouds Z. Jin & A. Lacis https://doi.org/10.1175/JAS-D-20-0167.1
- Locally narrow droplet size distributions are ubiquitous in stratocumulus clouds N. Allwayin et al. https://doi.org/10.1126/science.adi5550
- Improving the Treatment of Subgrid Cloud Variability in Warm Rain Simulation in CESM2 H. Wang et al. https://doi.org/10.1029/2022MS003103
- Observing short-timescale cloud development to constrain aerosol–cloud interactions E. Gryspeerdt et al. https://doi.org/10.5194/acp-22-11727-2022
- Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. https://doi.org/10.1126/sciadv.aaz6433
- Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. https://doi.org/10.5194/gmd-15-2881-2022
- New Observational Constraints on Warm Rain Processes and Their Climate Implications X. Dong et al. https://doi.org/10.1029/2020GL091836
- Aerosol Effects on Water Cloud Properties in Different Atmospheric Regimes P. Khatri et al. https://doi.org/10.1029/2023JD039729
- Vertical dependence of horizontal variation of cloud microphysics: observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models Z. Zhang et al. https://doi.org/10.5194/acp-21-3103-2021
- Insights of warm-cloud biases in Community Atmospheric Model 5 and 6 from the single-column modeling framework and Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) observations Y. Wang et al. https://doi.org/10.5194/acp-23-8591-2023
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