12 citations as recorded by crossref.

1. Subgrid-scale variability of cloud ice in the ICON-AES 1.3.00 S. Doktorowski et al. https://doi.org/10.5194/gmd-17-3099-2024
2. Diagnosing aerosol–meteorological interactions on snow within Earth system models: a proof-of-concept study over High Mountain Asia C. Roychoudhury et al. https://doi.org/10.5194/esd-16-1237-2025
3. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
4. Observational constraint on a feedback from supercooled clouds reduces projected warming uncertainty G. Cesana et al. https://doi.org/10.1038/s43247-024-01339-1
5. Radiatively Active Hydrometeor Frequencies From CloudSat–CALIPSO Data for Evaluating Cloud Fraction in Global Climate Models J. Li et al. https://doi.org/10.1029/2023JD038511
6. Cloud Microphysics in Global Cloud Resolving Models T. Seiki et al. https://doi.org/10.1080/07055900.2022.2075310
7. Radiative effects of precipitation on the global energy budget and Arctic amplification T. Michibata https://doi.org/10.1038/s41612-024-00684-4
8. Recent Advances in the Observation and Modeling of Aerosol-Cloud Interactions, Cloud Feedbacks, and Earth’s Energy Imbalance: A Review T. Michibata et al. https://doi.org/10.1007/s40726-025-00382-6
9. Snow Reconciles Observed and Simulated Phase Partitioning and Increases Cloud Feedback G. Cesana et al. https://doi.org/10.1029/2021GL094876
10. Significant increase in graupel and lightning occurrence in a warmer climate simulated by prognostic graupel parameterization T. Michibata https://doi.org/10.1038/s41598-024-54544-5
11. Too Frequent and Too Light Arctic Snowfall With Incorrect Precipitation Phase Partitioning in the MIROC6 GCM Y. Imura & T. Michibata https://doi.org/10.1029/2022MS003046
12. A new method for diagnosing effective radiative forcing from aerosol–cloud interactions in climate models B. Duran et al. https://doi.org/10.5194/acp-25-2123-2025