31 citations as recorded by crossref.

1. Ice Particle Mass–Dimensional Relationship Retrieval and Uncertainty Evaluation Using the Optimal Estimation Methodology Applied to the MACPEX Data Z. Xu & G. Mace https://doi.org/10.1175/JAMC-D-16-0222.1
2. Growth of ice particle mass and projected area during riming E. Erfani & D. Mitchell https://doi.org/10.5194/acp-17-1241-2017
3. Ice Crystal Sedimentation Errors Arising from Weighted Fall Velocity in Three-Moment Bulk Cloud Microphysics Scheme X. Shi et al. https://doi.org/10.3390/atmos17040357
4. Advances in CALIPSO (IIR) cirrus cloud property retrievals – Part 2: Global estimates of the fraction of cirrus clouds affected by homogeneous ice nucleation D. Mitchell & A. Garnier https://doi.org/10.5194/acp-25-14099-2025
5. A consistent coupling of two‐moment microphysics and bulk ice optical properties, and its impact on radiation in a regional weather model A. Baran et al. https://doi.org/10.1002/qj.5025
6. A single ice approach using varying ice particle properties in global climate model microphysics X. Zhao et al. https://doi.org/10.1002/2017MS000952
7. CALIPSO (IIR–CALIOP) retrievals of cirrus cloud ice-particle concentrations D. Mitchell et al. https://doi.org/10.5194/acp-18-17325-2018
8. The generation of EarthCARE L1 test data sets using atmospheric model data sets D. Donovan et al. https://doi.org/10.5194/amt-16-5327-2023
9. New Cloud System Metrics to Assess Bulk Ice Cloud Schemes in a GCM C. Stubenrauch et al. https://doi.org/10.1029/2019MS001642
10. An Inverse Problem Approach for the Retrieval of Ice Particle Mass from In Situ Measurements P. Coutris et al. https://doi.org/10.1175/JTECH-D-17-0013.1
11. Impacts of the ice-particle size distribution shape parameter on climate simulations with the Community Atmosphere Model Version 6 (CAM6) W. Zhang et al. https://doi.org/10.5194/gmd-15-7751-2022
12. 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. https://doi.org/10.1029/2022JD038034
13. Derivation of physical and optical properties of mid-latitude cirrus ice crystals for a size-resolved cloud microphysics model A. Fridlind et al. https://doi.org/10.5194/acp-16-7251-2016
14. Evolution of DARDAR-CLOUD ice cloud retrievals: new parameters and impacts on the retrieved microphysical properties Q. Cazenave et al. https://doi.org/10.5194/amt-12-2819-2019
15. 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. https://doi.org/10.1175/JTECH-D-15-0246.1
16. The origin of midlatitude ice clouds and the resulting influence on their microphysical properties A. Luebke et al. https://doi.org/10.5194/acp-16-5793-2016
17. Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation O. Sourdeval et al. https://doi.org/10.5194/acp-18-14327-2018
18. 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. https://doi.org/10.1016/j.jqsrt.2023.108793
19. A novel approach for characterizing the variability in mass–dimension relationships: results from MC3E J. Finlon et al. https://doi.org/10.5194/acp-19-3621-2019
20. Constraining a Radiative Transfer Model with Satellite Retrievals: Contrasts between cirrus formed via homogeneous and heterogeneous freezing and their implications for cirrus cloud thinning E. Erfani & D. Mitchell https://doi.org/10.5194/acp-26-523-2026
21. Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions Y. Liu et al. https://doi.org/10.1007/s00376-022-2077-3
22. Ice-Phase Precipitation I. Gultepe et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0013.1
23. Light scattering and microphysical properties of atmospheric bullet rosette ice crystals S. Wagner et al. https://doi.org/10.5194/acp-25-8785-2025
24. Ice particle sampling from aircraft – influence of the probing position on the ice water content A. Afchine et al. https://doi.org/10.5194/amt-11-4015-2018
25. Advances in CALIPSO (IIR) cirrus cloud property retrievals – Part 1: Methods and testing D. Mitchell et al. https://doi.org/10.5194/acp-25-14071-2025
26. Dependence of Mass–Dimensional Relationships on Median Mass Diameter S. Ding et al. https://doi.org/10.3390/atmos11070756
27. The Shape and Density Evolution of Snow Aggregates E. Dunnavan et al. https://doi.org/10.1175/JAS-D-19-0066.1
28. Opposing Hemispheric Responses of Eastern Pacific Marine Low Clouds to ENSO E. Erfani https://doi.org/10.3390/atmos17070668
29. Numerical model generation of test frames for pre-launch studies of EarthCARE's retrieval algorithms and data management system Z. Qu et al. https://doi.org/10.5194/amt-16-4927-2023
30. 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. https://doi.org/10.1175/JAS-D-21-0180.1
31. 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. https://doi.org/10.1002/2016JD025672