Articles | Volume 16, issue 7
https://doi.org/10.5194/acp-16-4379-2016
© Author(s) 2016. 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-16-4379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 Apr 2016
Research article |
| 07 Apr 2016
Developing and bounding ice particle mass- and area-dimension expressions for use in atmospheric models and remote sensing
Desert Research Institute, Reno, Nevada, USA
Graduate Program in Atmospheric Sciences, University of Nevada, Reno, Nevada, USA
David L. Mitchell
Desert Research Institute, Reno, Nevada, USA
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Cited
26 citations as recorded by crossref.
- Ice Crystal Sizes in High Ice Water Content Clouds. Part II: Statistics of Mass Diameter Percentiles in Tropical Convection Observed during the HAIC/HIWC Project D. Leroy et al. 10.1175/JTECH-D-15-0246.1
- The origin of midlatitude ice clouds and the resulting influence on their microphysical properties A. Luebke et al. 10.5194/acp-16-5793-2016
- Ice Particle Mass–Dimensional Relationship Retrieval and Uncertainty Evaluation Using the Optimal Estimation Methodology Applied to the MACPEX Data Z. Xu & G. Mace 10.1175/JAMC-D-16-0222.1
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation O. Sourdeval et al. 10.5194/acp-18-14327-2018
- An application of the boundary element method (BEM) to the calculation of the single-scattering properties of very complex ice crystals in the microwave and sub-millimetre regions of the electromagnetic spectrum A. Kleanthous et al. 10.1016/j.jqsrt.2023.108793
- Growth of ice particle mass and projected area during riming E. Erfani & D. Mitchell 10.5194/acp-17-1241-2017
- A novel approach for characterizing the variability in mass–dimension relationships: results from MC3E J. Finlon et al. 10.5194/acp-19-3621-2019
- A single ice approach using varying ice particle properties in global climate model microphysics X. Zhao et al. 10.1002/2017MS000952
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- CALIPSO (IIR–CALIOP) retrievals of cirrus cloud ice-particle concentrations D. Mitchell et al. 10.5194/acp-18-17325-2018
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
- New Cloud System Metrics to Assess Bulk Ice Cloud Schemes in a GCM C. Stubenrauch et al. 10.1029/2019MS001642
- Ice-Phase Precipitation I. Gultepe et al. 10.1175/AMSMONOGRAPHS-D-16-0013.1
- An Inverse Problem Approach for the Retrieval of Ice Particle Mass from In Situ Measurements P. Coutris et al. 10.1175/JTECH-D-17-0013.1
- Ice particle sampling from aircraft – influence of the probing position on the ice water content A. Afchine et al. 10.5194/amt-11-4015-2018
- Dependence of Mass–Dimensional Relationships on Median Mass Diameter S. Ding et al. 10.3390/atmos11070756
- Impacts of the ice-particle size distribution shape parameter on climate simulations with the Community Atmosphere Model Version 6 (CAM6) W. Zhang et al. 10.5194/gmd-15-7751-2022
- The Shape and Density Evolution of Snow Aggregates E. Dunnavan et al. 10.1175/JAS-D-19-0066.1
- Extremely High Concentrations of Ice Particles in East Asian Dust‐Infused Baroclinic Storm (DIBS) Cirrus Shield: Dominant Role of Dust Ice Nucleation Effect Y. Zeng et al. 10.1029/2022JD038034
- Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size-resolved cloud microphysics model A. Fridlind et al. 10.5194/acp-16-7251-2016
- Evolution of DARDAR-CLOUD ice cloud retrievals: new parameters and impacts on the retrieved microphysical properties Q. Cazenave et al. 10.5194/amt-12-2819-2019
- Numerical model generation of test frames for pre-launch studies of EarthCARE's retrieval algorithms and data management system Z. Qu et al. 10.5194/amt-16-4927-2023
- The Ice Particle and Aggregate Simulator (IPAS). Part III: Verification and Analysis of Ice–Aggregate and Aggregate–Aggregate Collection for Microphysical Parameterization V. Przybylo et al. 10.1175/JAS-D-21-0180.1
- Examining impacts of mass‐diameter (m‐D) and area‐diameter (A‐D) relationships of ice particles on retrievals of effective radius and ice water content from radar and lidar measurements S. Ham et al. 10.1002/2016JD025672
- A microphysics guide to cirrus clouds – Part 1: Cirrus types M. Krämer et al. 10.5194/acp-16-3463-2016
- Ice Crystal Sizes in High Ice Water Content Clouds. Part I: On the Computation of Median Mass Diameter from In Situ Measurements D. Leroy et al. 10.1175/JTECH-D-15-0151.1
24 citations as recorded by crossref.
- Ice Crystal Sizes in High Ice Water Content Clouds. Part II: Statistics of Mass Diameter Percentiles in Tropical Convection Observed during the HAIC/HIWC Project D. Leroy et al. 10.1175/JTECH-D-15-0246.1
- The origin of midlatitude ice clouds and the resulting influence on their microphysical properties A. Luebke et al. 10.5194/acp-16-5793-2016
- Ice Particle Mass–Dimensional Relationship Retrieval and Uncertainty Evaluation Using the Optimal Estimation Methodology Applied to the MACPEX Data Z. Xu & G. Mace 10.1175/JAMC-D-16-0222.1
- Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation O. Sourdeval et al. 10.5194/acp-18-14327-2018
- An application of the boundary element method (BEM) to the calculation of the single-scattering properties of very complex ice crystals in the microwave and sub-millimetre regions of the electromagnetic spectrum A. Kleanthous et al. 10.1016/j.jqsrt.2023.108793
- Growth of ice particle mass and projected area during riming E. Erfani & D. Mitchell 10.5194/acp-17-1241-2017
- A novel approach for characterizing the variability in mass–dimension relationships: results from MC3E J. Finlon et al. 10.5194/acp-19-3621-2019
- A single ice approach using varying ice particle properties in global climate model microphysics X. Zhao et al. 10.1002/2017MS000952
- Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. 10.1007/s00376-022-2077-3
- CALIPSO (IIR–CALIOP) retrievals of cirrus cloud ice-particle concentrations D. Mitchell et al. 10.5194/acp-18-17325-2018
- The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. 10.5194/amt-16-5327-2023
- New Cloud System Metrics to Assess Bulk Ice Cloud Schemes in a GCM C. Stubenrauch et al. 10.1029/2019MS001642
- Ice-Phase Precipitation I. Gultepe et al. 10.1175/AMSMONOGRAPHS-D-16-0013.1
- An Inverse Problem Approach for the Retrieval of Ice Particle Mass from In Situ Measurements P. Coutris et al. 10.1175/JTECH-D-17-0013.1
- Ice particle sampling from aircraft – influence of the probing position on the ice water content A. Afchine et al. 10.5194/amt-11-4015-2018
- Dependence of Mass–Dimensional Relationships on Median Mass Diameter S. Ding et al. 10.3390/atmos11070756
- Impacts of the ice-particle size distribution shape parameter on climate simulations with the Community Atmosphere Model Version 6 (CAM6) W. Zhang et al. 10.5194/gmd-15-7751-2022
- The Shape and Density Evolution of Snow Aggregates E. Dunnavan et al. 10.1175/JAS-D-19-0066.1
- Extremely High Concentrations of Ice Particles in East Asian Dust‐Infused Baroclinic Storm (DIBS) Cirrus Shield: Dominant Role of Dust Ice Nucleation Effect Y. Zeng et al. 10.1029/2022JD038034
- Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size-resolved cloud microphysics model A. Fridlind et al. 10.5194/acp-16-7251-2016
- Evolution of DARDAR-CLOUD ice cloud retrievals: new parameters and impacts on the retrieved microphysical properties Q. Cazenave et al. 10.5194/amt-12-2819-2019
- Numerical model generation of test frames for pre-launch studies of EarthCARE's retrieval algorithms and data management system Z. Qu et al. 10.5194/amt-16-4927-2023
- The Ice Particle and Aggregate Simulator (IPAS). Part III: Verification and Analysis of Ice–Aggregate and Aggregate–Aggregate Collection for Microphysical Parameterization V. Przybylo et al. 10.1175/JAS-D-21-0180.1
- Examining impacts of mass‐diameter (m‐D) and area‐diameter (A‐D) relationships of ice particles on retrievals of effective radius and ice water content from radar and lidar measurements S. Ham et al. 10.1002/2016JD025672
2 citations as recorded by crossref.
Saved (preprint)
Latest update: 15 Sep 2025
Short summary
Ice particle projected area- and mass-dimension expressions are developed and validated, and uncertainties for power laws derived from these expressions are determined.
Ice particle projected area- and mass-dimension expressions are developed and validated, and...
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