Articles | Volume 17, issue 9
Atmos. Chem. Phys., 17, 5947–5972, 2017
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.
Atmos. Chem. Phys., 17, 5947–5972, 2017
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
Ann M. Fridlind et al.
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Cited
17 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
- 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
- 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
- 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
- The Role of Organic Aerosol in Atmospheric Ice Nucleation: A Review D. Knopf et al. 10.1021/acsearthspacechem.7b00120
- 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
- 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
- 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
- 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
- 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
- Cloud‐Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties B. Han et al. 10.1029/2018JD029596
- Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts J. Fan et al. 10.1002/2017JD026622
- 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
- Effects of Under-Resolved Convective Dynamics on the Evolution of a Squall Line A. Varble et al. 10.1175/MWR-D-19-0187.1
17 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
- 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
- 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
- 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
- The Role of Organic Aerosol in Atmospheric Ice Nucleation: A Review D. Knopf et al. 10.1021/acsearthspacechem.7b00120
- 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
- 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
- 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
- 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
- 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
- Cloud‐Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties B. Han et al. 10.1029/2018JD029596
- Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts J. Fan et al. 10.1002/2017JD026622
- 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
- 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: 21 Oct 2021
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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