63 citations as recorded by crossref.

1. Ice nucleation of bare and sulfuric acid‐coated mineral dust particles and implication for cloud properties G. Kulkarni et al. 10.1002/2014JD021567
2. On the characteristics of aerosol indirect effect based on dynamic regimes in global climate models S. Zhang et al. 10.5194/acp-16-2765-2016
3. Utilizing Cloud Computing to address big geospatial data challenges C. Yang et al. 10.1016/j.compenvurbsys.2016.10.010
4. Cirrus cloud seeding: a climate engineering mechanism with reduced side effects? T. Storelvmo et al. 10.1098/rsta.2014.0116
5. Effect of cloud‐scale vertical velocity on the contribution of homogeneous nucleation to cirrus formation and radiative forcing X. Shi & X. Liu 10.1002/2016GL069531
6. Observational evidence for the convective transport of dust over the Central United States C. Corr et al. 10.1002/2015JD023789
7. The global distribution of mineral dust and its impacts on the climate system: A review O. Choobari et al. 10.1016/j.atmosres.2013.11.007
8. Global Dust Transport as Observed by A-Train Satellites T. Luo et al. 10.1051/epjconf/201611908010
9. Perturbed physics ensemble simulations of cirrus on the cloud system‐resolving scale A. Muhlbauer et al. 10.1002/2013JD020709
10. Sensitivities of simulated global aerosol optical depth and aerosol-radiation interactions to different horizontal resolutions in CAS-FGOALS-f3 M. Zhao et al. 10.1016/j.atmosenv.2021.118920
11. Impacts of meteorological nudging on the global dust cycle simulated by NICAM coupled with an aerosol model T. Dai et al. 10.1016/j.atmosenv.2018.07.016
12. Evaluating and constraining ice cloud parameterizations in CAM5 using aircraft measurements from the SPARTICUS campaign K. Zhang et al. 10.5194/acp-13-4963-2013
13. Global Radiative Impacts of Mineral Dust Perturbations Through Stratiform Clouds Z. McGraw et al. 10.1029/2019JD031807
14. The Geoengineering Model Intercomparison Project Phase 6 (GeoMIP6): simulation design and preliminary results B. Kravitz et al. 10.5194/gmd-8-3379-2015
15. Transport Patterns, Size Distributions, and Depolarization Characteristics of Dust Particles in East Asia in Spring 2018 Y. Tian et al. 10.1029/2019JD031752
16. Contribution of the world's main dust source regions to the global cycle of desert dust J. Kok et al. 10.5194/acp-21-8169-2021
17. Effects of thermodynamics, dynamics and aerosols on cirrus clouds based on in situ observations and NCAR CAM6 R. Patnaude et al. 10.5194/acp-21-1835-2021
18. Understanding cirrus ice crystal number variability for different heterogeneous ice nucleation spectra S. Sullivan et al. 10.5194/acp-16-2611-2016
19. The Atmospheric Infrared Sounder version 6 cloud products B. Kahn et al. 10.5194/acp-14-399-2014
20. Impacts of ice-nucleating particles on cirrus clouds and radiation derived from global model simulations with MADE3 in EMAC C. Beer et al. 10.5194/acp-24-3217-2024
21. Sensitivity of CAM5-Simulated Arctic Clouds and Radiation to Ice Nucleation Parameterization S. Xie et al. 10.1175/JCLI-D-12-00517.1
22. A comprehensive parameterization of heterogeneous ice nucleation of dust surrogate: laboratory study with hematite particles and its application to atmospheric models N. Hiranuma et al. 10.5194/acp-14-13145-2014
23. Cirrus cloud thinning using a more physically based ice microphysics scheme in the ECHAM-HAM general circulation model C. Tully et al. 10.5194/acp-22-11455-2022
24. Sensitivity of Homogeneous Ice Nucleation to Aerosol Perturbations and Its Implications for Aerosol Indirect Effects Through Cirrus Clouds X. Liu & X. Shi 10.1002/2017GL076721
25. Mineral dust aerosol impacts on global climate and climate change J. Kok et al. 10.1038/s43017-022-00379-5
26. A process‐oriented evaluation of dust emission parameterizations in CESM: Simulation of a typical severe dust storm in East Asia C. Wu et al. 10.1002/2016MS000723
27. Investigating ice nucleation in cirrus clouds with an aerosol‐enabled Multiscale Modeling Framework C. Zhang et al. 10.1002/2014MS000343
28. Enhanced Snow Absorption and Albedo Reduction by Dust‐Snow Internal Mixing: Modeling and Parameterization C. He et al. 10.1029/2019MS001737
29. Development of two-moment cloud microphysics for liquid and ice within the NASA Goddard Earth Observing System Model (GEOS-5) D. Barahona et al. 10.5194/gmd-7-1733-2014
30. Cold cloud microphysical process rates in a global chemistry–climate model S. Bacer et al. 10.5194/acp-21-1485-2021
31. Effects of pre-existing ice crystals on cirrus clouds and comparison between different ice nucleation parameterizations with the Community Atmosphere Model (CAM5) X. Shi et al. 10.5194/acp-15-1503-2015
32. Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM J. Wang et al. 10.1029/2021MS002628
33. An ensemble constrained variational analysis of atmospheric forcing data and its application to evaluate clouds in CAM5 S. Tang et al. 10.1002/2015JD024167
34. The sensitivity of global climate to the episodicity of fire aerosol emissions S. Clark et al. 10.1002/2015JD024068
35. Aerosol effects on cirrus through ice nucleation in the Community Atmosphere Model CAM5 with a statistical cirrus scheme M. Wang et al. 10.1002/2014MS000339
36. Airborne observations of the microphysical structure of two contrasting cirrus clouds S. O'Shea et al. 10.1002/2016JD025278
37. What controls the low ice number concentration in the upper troposphere? C. Zhou et al. 10.5194/acp-16-12411-2016
38. Technical note: Identification of two ice-nucleating regimes for dust-related cirrus clouds based on the relationship between number concentrations of ice-nucleating particles and ice crystals Y. He et al. 10.5194/acp-22-13067-2022
39. Analysis of influential factors for the relationship between PM<sub>2.5</sub> and AOD in Beijing C. Zheng et al. 10.5194/acp-17-13473-2017
40. Aerosol Effects on Climate via Mixed-Phase and Ice Clouds T. Storelvmo 10.1146/annurev-earth-060115-012240
41. Confronting the Challenge of Modeling Cloud and Precipitation Microphysics H. Morrison et al. 10.1029/2019MS001689
42. Global dust distribution from improved thin dust layer detection using A‐train satellite lidar observations T. Luo et al. 10.1002/2014GL062111
43. Dust ice nuclei effects on cirrus clouds M. Kuebbeler et al. 10.5194/acp-14-3027-2014
44. The Balance Between Heterogeneous and Homogeneous Nucleation of Ice Clouds Using CAM5/CARMA C. Maloney et al. 10.1029/2021JD035540
45. Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges J. Fan et al. 10.1175/JAS-D-16-0037.1
46. Implementation of a comprehensive ice crystal formation parameterization for cirrus and mixed-phase clouds in the EMAC model (based on MESSy 2.53) S. Bacer et al. 10.5194/gmd-11-4021-2018
47. Aerosol–Cloud–Rainfall Properties Inferred from Satellite Observations Over Different Regions of the Indian Subcontinent: Variability, Trends and Relationships During the Summer Monsoon P. Leena et al. 10.1007/s00024-021-02892-y
48. The global dust cycle and uncertainty in CMIP5 (Coupled Model Intercomparison Project phase 5) models C. Wu et al. 10.5194/acp-20-10401-2020
49. Different contact angle distributions for heterogeneous ice nucleation in the Community Atmospheric Model version 5 Y. Wang et al. 10.5194/acp-14-10411-2014
50. Modeling Dust Direct Radiative Feedbacks in East Asia During the Last Glacial Maximum X. Cheng et al. 10.3390/atmos10030146
51. A 1D Model for Nucleation of Ice From Aerosol Particles: An Application to a Mixed‐Phase Arctic Stratus Cloud Layer D. Knopf et al. 10.1029/2023MS003663
52. Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds M. Chatziparaschos et al. 10.5194/acp-23-1785-2023
53. Direct comparisons of ice cloud macro- and microphysical properties simulated by the Community Atmosphere Model version 5 with HIPPO aircraft observations C. Wu et al. 10.5194/acp-17-4731-2017
54. Quantifying sensitivities of ice crystal number and sources of ice crystal number variability in CAM 5.1 using the adjoint of a physically based cirrus formation parameterization B. Sheyko et al. 10.1002/2014JD022457
55. Modelling of mineral dust for interglacial and glacial climate conditions with a focus on Antarctica N. Sudarchikova et al. 10.5194/cp-11-765-2015
56. Description of Dust Emission Parameterization in CAS‐ESM2 and Its Simulation of Global Dust Cycle and East Asian Dust Events C. Wu et al. 10.1029/2020MS002456
57. Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. 10.5194/acp-22-9129-2022
58. East Asian dust storm in May 2017: observations, modelling, and its influence on the Asia-Pacific region X. Zhang et al. 10.5194/acp-18-8353-2018
59. Ice Nucleation of Cirrus Clouds Related to the Transported Dust Layer Observed by Ground-Based Lidars over Wuhan, China Y. He et al. 10.1007/s00376-021-1192-x
60. The impact of aerosols as ice nucleating particle on microphysics and electrification in the cumulus model Y. Yang et al. 10.1016/j.jaerosci.2024.106401
61. Laboratory measurements and model sensitivity studies of dust deposition ice nucleation G. Kulkarni et al. 10.5194/acp-12-7295-2012
62. Cirrus cloud seeding has potential to cool climate T. Storelvmo et al. 10.1029/2012GL054201
63. Investigation of aerosol indirect effects using a cumulus microphysics parameterization in a regional climate model K. Lim et al. 10.1002/2013JD020958