Articles | Volume 19, issue 6
https://doi.org/10.5194/acp-19-3621-2019
© 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-19-3621-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A novel approach for characterizing the variability in mass–dimension relationships: results from MC3E
Joseph A. Finlon
Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 73072, USA
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Stephen W. Nesbitt
Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Robert M. Rauber
Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Hugh Morrison
National Center for Atmospheric Research, Boulder, CO 80301, USA
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 73072, USA
Pengfei Zhang
Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 73072, USA
NOAA National Severe Storms Laboratory, Norman, OK 73072, USA
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Cited
20 citations as recorded by crossref.
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- A universal scaling law for Lagrangian snowflake accelerations in atmospheric turbulence D. Singh et al. 10.1063/5.0173359
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- Sensitivity of Simulated Deep Convection to a Stochastic Ice Microphysics Framework M. Stanford et al. 10.1029/2019MS001730
- Demonstration of a Consistent Relationship between Dual-Frequency Reflectivity and the Mass-Weighted Mean Diameter in Measurements of Frozen Precipitation from GCPEX, OLYMPEX, and MC3E G. Duffy et al. 10.1175/JAS-D-20-0174.1
- Climatology of the Vertical Profiles of Polarimetric Radar Variables and Retrieved Microphysical Parameters in Continental/Tropical MCSs and Landfalling Hurricanes J. Hu & A. Ryzhkov 10.1029/2021JD035498
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- Characterizing the Occurrence and Spatial Heterogeneity of Liquid, Ice, and Mixed Phase Low‐Level Clouds Over the Southern Ocean Using in Situ Observations Acquired During SOCRATES J. D'Alessandro et al. 10.1029/2020JD034482
- Evaluation of the Microphysical Assumptions within GPM-DPR Using Ground-Based Observations of Rain and Snow R. Chase et al. 10.3390/atmos11060619
- Impact of Mass–Size Parameterizations of Frozen Hydrometeors on Microphysical Retrievals: Evaluation by Matching Radar to In Situ Observations from GCPEx and OLYMPEx O. Sy et al. 10.1175/JTECH-D-19-0104.1
- Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: evaluation of simulations using bulk microphysical schemes Y. Huang et al. 10.5194/acp-21-6919-2021
- An Evaluation of Phase, Aerosol‐Cloud Interactions and Microphysical Properties of Single‐ and Multi‐Layer Clouds Over the Southern Ocean Using in Situ Observations From SOCRATES J. D’Alessandro et al. 10.1029/2023JD038610
- Dependence of Mass–Dimensional Relationships on Median Mass Diameter S. Ding et al. 10.3390/atmos11070756
- Radar Retrieval Evaluation and Investigation of Dendritic Growth Layer Polarimetric Signatures in a Winter Storm E. Dunnavan et al. 10.1175/JAMC-D-21-0220.1
- Spatiotemporal Evolution of the Microphysical and Thermodynamic Characteristics of the 20 June 2015 PECAN MCS D. Stechman et al. 10.1175/MWR-D-19-0293.1
- Composite In Situ Microphysical Analysis of All Spiral Vertical Profiles Executed within BAMEX and PECAN Mesoscale Convective Systems D. Stechman et al. 10.1175/JAS-D-19-0317.1
- The use of gamma distributions to quantify the dependence of cloud particle size distributions in hurricanes on cloud and environmental conditions J. Mascio et al. 10.1002/qj.3782
- Phase Characterization of Cold Sector Southern Ocean Cloud Tops: Results From SOCRATES T. Zaremba et al. 10.1029/2020JD033673
- Quantifying Uncertainty in Ice Particle Velocity–Dimension Relationships Using MC3E Observations A. Dzambo et al. 10.1175/JAS-D-21-0322.1
20 citations as recorded by crossref.
- Impacts of Drop Clustering and Entrainment‐Mixing on Mixed Phase Shallow Cloud Properties Over the Southern Ocean: Results From SOCRATES J. D’Alessandro & G. McFarquhar 10.1029/2023JD038622
- A universal scaling law for Lagrangian snowflake accelerations in atmospheric turbulence D. Singh et al. 10.1063/5.0173359
- Time-resolved measurements of the densities of individual frozen hydrometeors and fresh snowfall D. Singh et al. 10.5194/amt-17-4581-2024
- Sensitivity of Simulated Deep Convection to a Stochastic Ice Microphysics Framework M. Stanford et al. 10.1029/2019MS001730
- Demonstration of a Consistent Relationship between Dual-Frequency Reflectivity and the Mass-Weighted Mean Diameter in Measurements of Frozen Precipitation from GCPEX, OLYMPEX, and MC3E G. Duffy et al. 10.1175/JAS-D-20-0174.1
- Climatology of the Vertical Profiles of Polarimetric Radar Variables and Retrieved Microphysical Parameters in Continental/Tropical MCSs and Landfalling Hurricanes J. Hu & A. Ryzhkov 10.1029/2021JD035498
- Precipitation Growth Processes in the Comma-Head Region of the 7 February 2020 Northeast Snowstorm: Results from IMPACTS M. Varcie et al. 10.1175/JAS-D-22-0118.1
- Structure of an Atmospheric River Over Australia and the Southern Ocean: II. Microphysical Evolution J. Finlon et al. 10.1029/2020JD032514
- Characterizing the Occurrence and Spatial Heterogeneity of Liquid, Ice, and Mixed Phase Low‐Level Clouds Over the Southern Ocean Using in Situ Observations Acquired During SOCRATES J. D'Alessandro et al. 10.1029/2020JD034482
- Evaluation of the Microphysical Assumptions within GPM-DPR Using Ground-Based Observations of Rain and Snow R. Chase et al. 10.3390/atmos11060619
- Impact of Mass–Size Parameterizations of Frozen Hydrometeors on Microphysical Retrievals: Evaluation by Matching Radar to In Situ Observations from GCPEx and OLYMPEx O. Sy et al. 10.1175/JTECH-D-19-0104.1
- Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: evaluation of simulations using bulk microphysical schemes Y. Huang et al. 10.5194/acp-21-6919-2021
- An Evaluation of Phase, Aerosol‐Cloud Interactions and Microphysical Properties of Single‐ and Multi‐Layer Clouds Over the Southern Ocean Using in Situ Observations From SOCRATES J. D’Alessandro et al. 10.1029/2023JD038610
- Dependence of Mass–Dimensional Relationships on Median Mass Diameter S. Ding et al. 10.3390/atmos11070756
- Radar Retrieval Evaluation and Investigation of Dendritic Growth Layer Polarimetric Signatures in a Winter Storm E. Dunnavan et al. 10.1175/JAMC-D-21-0220.1
- Spatiotemporal Evolution of the Microphysical and Thermodynamic Characteristics of the 20 June 2015 PECAN MCS D. Stechman et al. 10.1175/MWR-D-19-0293.1
- Composite In Situ Microphysical Analysis of All Spiral Vertical Profiles Executed within BAMEX and PECAN Mesoscale Convective Systems D. Stechman et al. 10.1175/JAS-D-19-0317.1
- The use of gamma distributions to quantify the dependence of cloud particle size distributions in hurricanes on cloud and environmental conditions J. Mascio et al. 10.1002/qj.3782
- Phase Characterization of Cold Sector Southern Ocean Cloud Tops: Results From SOCRATES T. Zaremba et al. 10.1029/2020JD033673
- Quantifying Uncertainty in Ice Particle Velocity–Dimension Relationships Using MC3E Observations A. Dzambo et al. 10.1175/JAS-D-21-0322.1
Latest update: 14 Dec 2024
Short summary
A new approach describing the relationship between ice crystal mass (m) and dimension (D) is derived, characterizing it as a set of
equally realizableparameters based on the natural variability in cloud conditions observed by aircraft over the Great Plains. Results from this approach address shortcomings of microphysical parameterization schemes and remote sensing retrievals that employ a single m–D relation for a given ice species or environment.
A new approach describing the relationship between ice crystal mass (m) and dimension (D) is...
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