Articles | Volume 17, issue 9
https://doi.org/10.5194/acp-17-5947-2017
© 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-17-5947-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 May 2017
Research article |
| 15 May 2017
Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY, USA
Xiaowen Li
Goddard Earth Sciences Technology and Research, Morgan State University, Baltimore, MD, USA
Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Di Wu
Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications, Inc., Lanham, MD, USA
Marcus van Lier-Walqui
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY, USA
Center for Climate Systems Research, Columbia University, New York, NY, USA
Andrew S. Ackerman
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY, USA
Wei-Kuo Tao
Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Greg M. McFarquhar
Department of Atmospheric Sciences, University of Illinois, Urbana-Champaign, IL, USA
Department of Atmospheric Sciences, University of Illinois, Urbana-Champaign, IL, USA
Xiquan Dong
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
Jingyu Wang
Department of Hydrology and Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
Alexander Ryzhkov
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and National Severe Storms Laboratory, Norman, OK, USA
Pengfei Zhang
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and National Severe Storms Laboratory, Norman, OK, USA
Michael R. Poellot
Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, USA
Andrea Neumann
Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, USA
Jason M. Tomlinson
Pacific Northwest National Laboratory, Richland, WA, USA
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Cited
27 citations as recorded by crossref.
- On the Realism of the Rain Microphysics Representation of a Squall Line in the WRF Model. Part II: Sensitivity Studies on the Rain Drop Size Distributions C. Planche et al. 10.1175/MWR-D-18-0019.1
- Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators P. Shrestha et al. 10.5194/gmd-15-291-2022
- Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment P. Marinescu et al. 10.1175/JAS-D-20-0200.1
- Time dependence of heterogeneous ice nucleation by ambient aerosols: laboratory observations and a formulation for models J. Jakobsson et al. 10.5194/acp-22-6717-2022
- A Polarimetric Radar Analysis of Ice Microphysical Processes in Melting Layers of Winter Storms Using S-Band Quasi-Vertical Profiles E. Griffin et al. 10.1175/JAMC-D-19-0128.1
- Simulating a Mesoscale Convective System Using WRF With a New Spectral Bin Microphysics: 1: Hail vs Graupel J. Shpund et al. 10.1029/2019JD030576
- Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data M. Alexandrov et al. 10.1016/j.atmosres.2020.104924
- Atmospheric Convection J. Lin et al. 10.1080/07055900.2022.2082915
- Characteristics of Ice Cloud–Precipitation of Warm Season Mesoscale Convective Systems over the Great Plains J. Tian et al. 10.1175/JHM-D-19-0176.1
- Dependencies of Four Mechanisms of Secondary Ice Production on Cloud-Top Temperature in a Continental Convective Storm D. Waman et al. 10.1175/JAS-D-21-0278.1
- The Microphysical Roles of Lower-Tropospheric versus Midtropospheric Aerosol Particles in Mature-Stage MCS Precipitation P. Marinescu et al. 10.1175/JAS-D-16-0361.1
- The Role of Ice Splintering on Microphysics of Deep Convective Clouds Forming Under Different Aerosol Conditions: Simulations Using the Model With Spectral Bin Microphysics Y. Qu et al. 10.1029/2019JD031312
- Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology K. Tuftedal et al. 10.5194/acp-24-5637-2024
- Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts J. Fan et al. 10.1002/2017JD026622
- The influence of multiple groups of biological ice nucleating particles on microphysical properties of mixed-phase clouds observed during MC3E S. Patade et al. 10.5194/acp-22-12055-2022
- Use of polarimetric radar measurements to constrain simulated convective cell evolution: a pilot study with Lagrangian tracking A. Fridlind et al. 10.5194/amt-12-2979-2019
- Updraft dynamics and microphysics: on the added value of the cumulus thermal reference frame in simulations of aerosol–deep convection interactions D. Hernandez-Deckers et al. 10.5194/acp-22-711-2022
- Columnar Vertical Profile (CVP) Methodology for Validating Polarimetric Radar Retrievals in Ice Using In Situ Aircraft Measurements A. Murphy et al. 10.1175/JTECH-D-20-0011.1
- Enhancing consistency of microphysical properties of precipitation across the melting layer in dual-frequency precipitation radar data K. Mroz et al. 10.5194/amt-17-1577-2024
- The Role of Organic Aerosol in Atmospheric Ice Nucleation: A Review D. Knopf et al. 10.1021/acsearthspacechem.7b00120
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Quantifying aerosol size distributions and their temporal variability in the Southern Great Plains, USA P. Marinescu et al. 10.5194/acp-19-11985-2019
- Microphysical Characteristics of Squall-Line Stratiform Precipitation and Transition Zones Simulated Using an Ice Particle Property-Evolving Model A. Jensen et al. 10.1175/MWR-D-17-0215.1
- Cloud‐Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties B. Han et al. 10.1029/2018JD029596
- Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals M. Oue et al. 10.5194/amt-12-1999-2019
- Time Resolved Reflectivity Measurements of Convective Clouds B. Dolan et al. 10.1029/2023GL105723
- Effects of Under-Resolved Convective Dynamics on the Evolution of a Squall Line A. Varble et al. 10.1175/MWR-D-19-0187.1
27 citations as recorded by crossref.
- On the Realism of the Rain Microphysics Representation of a Squall Line in the WRF Model. Part II: Sensitivity Studies on the Rain Drop Size Distributions C. Planche et al. 10.1175/MWR-D-18-0019.1
- Evaluation of the COSMO model (v5.1) in polarimetric radar space – impact of uncertainties in model microphysics, retrievals and forward operators P. Shrestha et al. 10.5194/gmd-15-291-2022
- Impacts of Varying Concentrations of Cloud Condensation Nuclei on Deep Convective Cloud Updrafts—A Multimodel Assessment P. Marinescu et al. 10.1175/JAS-D-20-0200.1
- Time dependence of heterogeneous ice nucleation by ambient aerosols: laboratory observations and a formulation for models J. Jakobsson et al. 10.5194/acp-22-6717-2022
- A Polarimetric Radar Analysis of Ice Microphysical Processes in Melting Layers of Winter Storms Using S-Band Quasi-Vertical Profiles E. Griffin et al. 10.1175/JAMC-D-19-0128.1
- Simulating a Mesoscale Convective System Using WRF With a New Spectral Bin Microphysics: 1: Hail vs Graupel J. Shpund et al. 10.1029/2019JD030576
- Vertical profiles of droplet size distributions derived from cloud-side observations by the research scanning polarimeter: Tests on simulated data M. Alexandrov et al. 10.1016/j.atmosres.2020.104924
- Atmospheric Convection J. Lin et al. 10.1080/07055900.2022.2082915
- Characteristics of Ice Cloud–Precipitation of Warm Season Mesoscale Convective Systems over the Great Plains J. Tian et al. 10.1175/JHM-D-19-0176.1
- Dependencies of Four Mechanisms of Secondary Ice Production on Cloud-Top Temperature in a Continental Convective Storm D. Waman et al. 10.1175/JAS-D-21-0278.1
- The Microphysical Roles of Lower-Tropospheric versus Midtropospheric Aerosol Particles in Mature-Stage MCS Precipitation P. Marinescu et al. 10.1175/JAS-D-16-0361.1
- The Role of Ice Splintering on Microphysics of Deep Convective Clouds Forming Under Different Aerosol Conditions: Simulations Using the Model With Spectral Bin Microphysics Y. Qu et al. 10.1029/2019JD031312
- Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology K. Tuftedal et al. 10.5194/acp-24-5637-2024
- Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts J. Fan et al. 10.1002/2017JD026622
- The influence of multiple groups of biological ice nucleating particles on microphysical properties of mixed-phase clouds observed during MC3E S. Patade et al. 10.5194/acp-22-12055-2022
- Use of polarimetric radar measurements to constrain simulated convective cell evolution: a pilot study with Lagrangian tracking A. Fridlind et al. 10.5194/amt-12-2979-2019
- Updraft dynamics and microphysics: on the added value of the cumulus thermal reference frame in simulations of aerosol–deep convection interactions D. Hernandez-Deckers et al. 10.5194/acp-22-711-2022
- Columnar Vertical Profile (CVP) Methodology for Validating Polarimetric Radar Retrievals in Ice Using In Situ Aircraft Measurements A. Murphy et al. 10.1175/JTECH-D-20-0011.1
- Enhancing consistency of microphysical properties of precipitation across the melting layer in dual-frequency precipitation radar data K. Mroz et al. 10.5194/amt-17-1577-2024
- The Role of Organic Aerosol in Atmospheric Ice Nucleation: A Review D. Knopf et al. 10.1021/acsearthspacechem.7b00120
- Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
- Quantifying aerosol size distributions and their temporal variability in the Southern Great Plains, USA P. Marinescu et al. 10.5194/acp-19-11985-2019
- Microphysical Characteristics of Squall-Line Stratiform Precipitation and Transition Zones Simulated Using an Ice Particle Property-Evolving Model A. Jensen et al. 10.1175/MWR-D-17-0215.1
- Cloud‐Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties B. Han et al. 10.1029/2018JD029596
- Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals M. Oue et al. 10.5194/amt-12-1999-2019
- Time Resolved Reflectivity Measurements of Convective Clouds B. Dolan et al. 10.1029/2023GL105723
- Effects of Under-Resolved Convective Dynamics on the Evolution of a Squall Line A. Varble et al. 10.1175/MWR-D-19-0187.1
Saved (final revised paper)
Latest update: 06 Nov 2024
Short summary
Understanding observed storm microphysics via computer simulation requires measurements of aerosol on which most hydrometeors form. We prepare aerosol input data for six storms observed over Oklahoma. We demonstrate their use in simulations of a case with widespread ice outflow well sampled by aircraft. Simulations predict too few ice crystals that are too large. We speculate that microphysics found in tropical storms occurred here, likely associated with poorly understood ice multiplication.
Understanding observed storm microphysics via computer simulation requires measurements of...
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