99 citations as recorded by crossref.

1. Nonequilibrium Fractionation During Ice Cloud Formation in iCAM5: Evaluating the Common Parameterization of Supersaturation as a Linear Function of Temperature M. Dütsch et al. https://doi.org/10.1029/2019MS001764
2. Ship‐Based Observations and Climate Model Simulations of Cloud Phase Over the Southern Ocean N. Desai et al. https://doi.org/10.1029/2023JD038581
3. Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations A. Raman et al. https://doi.org/10.5194/acp-23-5735-2023
4. The utility of simulated ocean chlorophyll observations: a case study with the Chlorophyll Observation Simulator Package (version 1) in CESMv2.2 G. Clow et al. https://doi.org/10.5194/gmd-17-975-2024
5. Understanding the Roles of Convective Trigger Functions in the Diurnal Cycle of Precipitation in the NCAR CAM5 Z. Cui et al. https://doi.org/10.1175/JCLI-D-20-0699.1
6. Prognostic simulations of mixed-phase clouds with model AC-1D v1.0: the impact of aerosol types and freezing parameterizations on ice crystal budgets Y. Sun et al. https://doi.org/10.5194/gmd-19-1581-2026
7. Is Black Carbon an Unimportant Ice‐Nucleating Particle in Mixed‐Phase Clouds? J. Vergara‐Temprado et al. https://doi.org/10.1002/2017JD027831
8. Classical nucleation theory of immersion freezing: sensitivity of contact angle schemes to thermodynamic and kinetic parameters L. Ickes et al. https://doi.org/10.5194/acp-17-1713-2017
9. Effects of coupling a stochastic convective parameterization with the Zhang–McFarlane scheme on precipitation simulation in the DOE E3SMv1.0 atmosphere model Y. Wang et al. https://doi.org/10.5194/gmd-14-1575-2021
10. Impacts of secondary ice production on Arctic mixed-phase clouds based on ARM observations and CAM6 single-column model simulations X. Zhao et al. https://doi.org/10.5194/acp-21-5685-2021
11. Large discrepancies in dominant microphysical processes governing mixed-phase clouds across climate models H. Frostenberg et al. https://doi.org/10.1038/s41612-026-01342-7
12. Immersion freezing by natural dust based on a soccer ball model with the Community Atmospheric Model version 5: climate effects Y. Wang & X. Liu https://doi.org/10.1088/1748-9326/9/12/124020
13. Time-dependent freezing rate parcel model G. Vali & J. Snider https://doi.org/10.5194/acp-15-2071-2015
14. Relative importance of high-latitude local and long-range-transported dust for Arctic ice-nucleating particles and impacts on Arctic mixed-phase clouds Y. Shi et al. https://doi.org/10.5194/acp-22-2909-2022
15. Effects of marine organic aerosols as sources of immersion-mode ice-nucleating particles on high-latitude mixed-phase clouds X. Zhao et al. https://doi.org/10.5194/acp-21-2305-2021
16. Simulating Observations of Southern Ocean Clouds and Implications for Climate A. Gettelman et al. https://doi.org/10.1029/2020JD032619
17. Contribution of feldspar and marine organic aerosols to global ice nucleating particle concentrations J. Vergara-Temprado et al. https://doi.org/10.5194/acp-17-3637-2017
18. Study of the Immersion Freezing Theory Using the Classical Nucleation Framework M. Lazaridis https://doi.org/10.3390/atmos13111812
19. Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6 R. Patnaude et al. https://doi.org/10.5194/acp-21-1835-2021
20. Radiative Forcing of Nitrate Aerosols From 1975 to 2010 as Simulated by MOSAIC Module in CESM2‐MAM4 Z. Lu et al. https://doi.org/10.1029/2021JD034809
21. Toward Improved Cloud-Phase Simulation with a Mineral Dust and Temperature-Dependent Parameterization for Ice Nucleation in Mixed-Phase Clouds S. Fan et al. https://doi.org/10.1175/JAS-D-18-0287.1
22. Air quality improvement masks global cooling from CO2 reductions under China’s carbon neutrality policies for half a century B. Zhao et al. https://doi.org/10.1038/s41467-026-68586-y
23. Idealized Simulations of the Tropical Climate and Variability in the Single Column Atmosphere Model (SCAM): Radiative‐Convective Equilibrium I. Hu et al. https://doi.org/10.1029/2021MS002826
24. LGM Paleoclimate Constraints Inform Cloud Parameterizations and Equilibrium Climate Sensitivity in CESM2 J. Zhu et al. https://doi.org/10.1029/2021MS002776
25. Radiative effect and climate impacts of brown carbon with the Community Atmosphere Model (CAM5) H. Brown et al. https://doi.org/10.5194/acp-18-17745-2018
26. Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model With Satellite Simulators Y. Zhang et al. https://doi.org/10.1029/2018MS001562
27. Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. https://doi.org/10.5194/acp-16-2611-2016
28. Global Importance of Secondary Ice Production X. Zhao & X. Liu https://doi.org/10.1029/2021GL092581
29. Mapping ice formation to mineral-surface topography using a micro mixing chamber with video and atomic-force microscopy R. Friddle & K. Thürmer https://doi.org/10.5194/amt-13-2209-2020
30. Double Trouble of Air Pollution by Anthropogenic Dust W. Xia et al. https://doi.org/10.1021/acs.est.1c04779
31. Assessing the climate impact of an improved volcanic sulfate aerosol representation in E3SM Z. Ke et al. https://doi.org/10.5194/gmd-18-4137-2025
32. Modeling of Aircraft Measurements of Ice Crystal Concentration in the Arctic and a Parameterization for Mixed-Phase Cloud S. Fan et al. https://doi.org/10.1175/JAS-D-17-0037.1
33. Decreasing Dust Over the Middle East Partly Caused by Irrigation Expansion W. Xia et al. https://doi.org/10.1029/2021EF002252
34. Distinct Contributions of Ice Nucleation, Large‐Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning With NCAR CAM5 Y. Wang et al. https://doi.org/10.1002/2017JD027213
35. The Community Earth System Model Version 2 (CESM2) G. Danabasoglu et al. https://doi.org/10.1029/2019MS001916
36. Aerosol- and Droplet-Dependent Contact Freezing: Parameterization Development and Case Study L. Hande et al. https://doi.org/10.1175/JAS-D-16-0313.1
37. An overview of mineral dust modeling over East Asia S. Chen et al. https://doi.org/10.1007/s13351-017-6142-2
38. An Overview of Antarctic Sea Ice in the Community Earth System Model Version 2, Part I: Analysis of the Seasonal Cycle in the Context of Sea Ice Thermodynamics and Coupled Atmosphere‐Ocean‐Ice Processes H. Singh et al. https://doi.org/10.1029/2020MS002143
39. Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1 P. Ma et al. https://doi.org/10.5194/gmd-15-2881-2022
40. Ice‐Nucleating Particles That Impact Clouds and Climate: Observational and Modeling Research Needs S. Burrows et al. https://doi.org/10.1029/2021RG000745
41. Important Ice Processes Are Missed by the Community Earth System Model in Southern Ocean Mixed‐Phase Clouds: Bridging SOCRATES Observations to Model Developments X. Zhao et al. https://doi.org/10.1029/2022JD037513
42. The path to CAM6: coupled simulations with CAM5.4 and CAM5.5 P. Bogenschutz et al. https://doi.org/10.5194/gmd-11-235-2018
43. Impact of Cloud Physics on the Greenland Ice Sheet Near‐Surface Climate: A Study With the Community Atmosphere Model J. Lenaerts et al. https://doi.org/10.1029/2019JD031470
44. A multiyear tropical Pacific cooling response to recent Australian wildfires in CESM2 J. Fasullo et al. https://doi.org/10.1126/sciadv.adg1213
45. How nanoscale surface steps promote ice growth on feldspar: microscopy observation of morphology-enhanced condensation and freezing R. Friddle & K. Thürmer https://doi.org/10.1039/C9NR08729J
46. Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model S. Keita et al. https://doi.org/10.3390/atmos10080433
47. Dust Radiative Effects on Climate by Glaciating Mixed‐Phase Clouds Y. Shi & X. Liu https://doi.org/10.1029/2019GL082504
48. Larger Cloud Liquid Water Enhances Both Aerosol Indirect Forcing and Cloud Radiative Feedback in Two Earth System Models X. Zhao et al. https://doi.org/10.1029/2023GL105529
49. Fast climate responses to emission reductions in aerosol and ozone precursors in China during 2013–2017 J. Gao et al. https://doi.org/10.5194/acp-22-7131-2022
50. Toward Understanding the Simulated Phase Partitioning of Arctic Single‐Layer Mixed‐Phase Clouds in E3SM M. Zhang et al. https://doi.org/10.1029/2020EA001125
51. Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model S. Xie et al. https://doi.org/10.1029/2018MS001350
52. Validating a microphysical prognostic stratospheric aerosol implementation in E3SMv2 using observations after the Mount Pinatubo eruption H. Brown et al. https://doi.org/10.5194/gmd-17-5087-2024
53. Improved Simulation of the QBO in E3SMv1 J. Richter et al. https://doi.org/10.1029/2019MS001763
54. Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions G. Saponaro et al. https://doi.org/10.5194/acp-20-1607-2020
55. Progress and Perspective of Convection and Cloud Parameterizations in Numerical Models Y. Wang et al. https://doi.org/10.1007/s13351-025-4911-x
56. Effects of Organized Convection Parameterization on the MJO and Precipitation in E3SMv1. Part I: Mesoscale Heating C. Chen et al. https://doi.org/10.1029/2020MS002401
57. Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects S. Zhang et al. https://doi.org/10.5194/gmd-15-6787-2022
58. Treatment of Key Aerosol and Cloud Processes in Earth System Models – Recommendations from the FORCeS Project I. Riipinen et al. https://doi.org/10.16993/tellusb.1883
59. Improving thermodynamic nudging in the E3SM Atmosphere Model version 2 (EAMv2): strategy and hindcast skills on weather systems S. Zhang et al. https://doi.org/10.5194/gmd-19-1937-2026
60. Orographic Cirrus and Its Radiative Forcing in NCAR CAM6 K. Lyu et al. https://doi.org/10.1029/2022JD038164
61. The Balance Between Heterogeneous and Homogeneous Nucleation of Ice Clouds Using CAM5/CARMA C. Maloney et al. https://doi.org/10.1029/2021JD035540
62. Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1 H. Wan et al. https://doi.org/10.5194/gmd-14-1921-2021
63. Suppression of ice nucleation in supercooled water under temperature gradients L. Wang et al. https://doi.org/10.1088/1674-1056/abd764
64. An Overview on Atomistic Mechanisms of Heterogeneous Nucleation Z. Fan & H. Men https://doi.org/10.3390/met12091547
65. Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds M. Chatziparaschos et al. https://doi.org/10.5194/acp-23-1785-2023
66. Unexpected Changes of Aerosol Burdens With Decreased Convection in the Context of Scale‐Aware Convection Schemes W. Xia et al. https://doi.org/10.1029/2022GL099008
67. Improved Dust Representation and Impacts on Dust Transport and Radiative Effect in CAM5 Z. Ke et al. https://doi.org/10.1029/2021MS002845
68. Exploring sources of ice crystals in cirrus clouds: comparative analysis of two ice nucleation schemes in CAM6 K. Lyu et al. https://doi.org/10.5194/acp-25-15369-2025
69. Primary and secondary ice production: interactions and their relative importance X. Zhao & X. Liu https://doi.org/10.5194/acp-22-2585-2022
70. Disproportionate control on aerosol burden by light rain Y. Wang et al. https://doi.org/10.1038/s41561-020-00675-z
71. Cloud Phase Simulation at High Latitudes in EAMv2: Evaluation Using CALIPSO Observations and Comparison With EAMv1 M. Zhang et al. https://doi.org/10.1029/2022JD037100
72. Evaluating EAMv2 Simulated High Latitude Clouds Using ARM Measurements in the Northern and Southern Hemispheres M. Zhang et al. https://doi.org/10.1029/2022JD038364
73. Understanding changes in cloud simulations from E3SM version 1 to version 2 Y. Zhang et al. https://doi.org/10.5194/gmd-17-169-2024
74. Impact of numerical choices on water conservation in the E3SM Atmosphere Model version 1 (EAMv1) K. Zhang et al. https://doi.org/10.5194/gmd-11-1971-2018
75. Coupled Climate Responses to Recent Australian Wildfire and COVID‐19 Emissions Anomalies Estimated in CESM2 J. Fasullo et al. https://doi.org/10.1029/2021GL093841
76. Description and performance of a sectional aerosol microphysical model in the Community Earth System Model (CESM2) S. Tilmes et al. https://doi.org/10.5194/gmd-16-6087-2023
77. Development of Heterogeneous Ice Nucleation Rate Coefficient Parameterizations From Ambient Measurements G. Cornwell et al. https://doi.org/10.1029/2021GL095359
78. Enhancing Understanding of the Hydrological Cycle via Pairing of Process‐Oriented and Isotope Ratio Tracers R. Fiorella et al. https://doi.org/10.1029/2021MS002648
79. The Summertime Precipitation Bias in E3SM Atmosphere Model Version 1 over the Central United States X. Zheng et al. https://doi.org/10.1029/2019JD030662
80. Diversity of metals and metal-interactive bacterial populations in different types of Arctic snow and frost flowers: Implications on snow freeze-melt processes in a changing climate R. Mortazavi et al. https://doi.org/10.1016/j.scitotenv.2019.06.350
81. An Overview of the Atmospheric Component of the Energy Exascale Earth System Model P. Rasch et al. https://doi.org/10.1029/2019MS001629
82. A theory‐based parameterization for heterogeneous ice nucleation and implications for the simulation of ice processes in atmospheric models J. Savre & A. Ekman https://doi.org/10.1002/2014JD023000
83. Strong impacts on aerosol indirect effects from historical oxidant changes I. Karset et al. https://doi.org/10.5194/acp-18-7669-2018
84. Assessing the sensitivity of aerosol mass budget and effective radiative forcing to horizontal grid spacing in E3SMv1 using a regional refinement approach J. Li et al. https://doi.org/10.5194/gmd-17-1327-2024
85. Contact angle for theoretical parameterization of immersion freezing rate inferred from the freezing temperature J. Chang et al. https://doi.org/10.1007/s44195-024-00080-8
86. Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing H. Wang et al. https://doi.org/10.1029/2019MS001851
87. A production-tagged aerosol module for Earth system models, OsloAero5.3 – extensions and updates for CAM5.3-Oslo A. Kirkevåg et al. https://doi.org/10.5194/gmd-11-3945-2018
88. Influence of Ice Nuclei Parameterization Schemes on the Hail Process X. Liu et al. https://doi.org/10.1155/2018/4204137
89. Potential Link Between Ice Nucleation and Climate Model Spread in Arctic Amplification I. Tan et al. https://doi.org/10.1029/2021GL097373
90. Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. https://doi.org/10.5194/acp-22-9129-2022
91. Simulating Southern Ocean Aerosol and Ice Nucleating Particles in the Community Earth System Model Version 2 C. McCluskey et al. https://doi.org/10.1029/2022JD036955
92. The Role of Organic Aerosol in Atmospheric Ice Nucleation: A Review D. Knopf et al. https://doi.org/10.1021/acsearthspacechem.7b00120
93. Aerosol–stratocumulus interactions: towards a better process understanding using closures between observations and large eddy simulations S. Calderón et al. https://doi.org/10.5194/acp-22-12417-2022
94. Global source apportionment of aerosols into major emission regions and sectors over 1850–2017 Y. Yang et al. https://doi.org/10.5194/acp-24-6509-2024
95. Evaluation of Cloud and Precipitation Simulations in CAM6 and AM4 Using Observations Over the Southern Ocean X. Zhou et al. https://doi.org/10.1029/2020EA001241
96. Distinct roles of land cover in regulating spatial variabilities of temperature responses to radiative effects of aerosols and clouds L. Wei et al. https://doi.org/10.1088/1748-9326/ac3f04
97. The chance of freezing – a conceptional study to parameterize temperature-dependent freezing by including randomness of ice-nucleating particle concentrations H. Frostenberg et al. https://doi.org/10.5194/acp-23-10883-2023
98. The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution P. Caldwell et al. https://doi.org/10.1029/2019MS001870
99. Impacts of Suppressing Excessive Light Rain on Aerosol Radiative Effects and Health Risks Y. Wang et al. https://doi.org/10.1029/2021JD036204