13 citations as recorded by crossref.

1. Superparameterised cloud effects in the EMAC general circulation model (v2.50) – influences of model configuration H. Rybka & H. Tost https://doi.org/10.5194/gmd-13-2671-2020
2. DROP EFFECTIVE RADIUS IN MAIN CLOUD TYPES AND FRONTAL CLOUD SYSTEMS ESTIMATED BY SATELLITE OBSERVATIONS IN WARM PERIOD OF YEAR T. Zabolotska et al. https://doi.org/10.17721/2306-5680.2020.1.8
3. Subtropical Marine Low Stratiform Cloud Deck Spatial Errors in the E3SMv1 Atmosphere Model M. Brunke et al. https://doi.org/10.1029/2019GL084747
4. Evaluation of Cloud and Precipitation Response to Aerosols in WRF‐Chem With Satellite Observations Z. Liu et al. https://doi.org/10.1029/2020JD033108
5. An underestimated negative cloud feedback from cloud lifetime changes J. Mülmenstädt et al. https://doi.org/10.1038/s41558-021-01038-1
6. Prognostic Precipitation in the MIROC6‐SPRINTARS GCM: Description and Evaluation Against Satellite Observations T. Michibata et al. https://doi.org/10.1029/2018MS001596
7. Climate Impact of Cloud Water Inhomogeneity through Microphysical Processes in a Global Climate Model H. Hotta et al. https://doi.org/10.1175/JCLI-D-19-0772.1
8. Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol–cloud interactions C. Beall et al. https://doi.org/10.5194/acp-24-5287-2024
9. Role of Cloud Subgrid‐Scale Structure in Modulating Clouds Viewed by ISCCP, MODIS, and MISR Simulators X. Wang https://doi.org/10.1029/2021JD036378
10. Reducing the aerosol forcing uncertainty using observational constraints on warm rain processes J. Mülmenstädt et al. https://doi.org/10.1126/sciadv.aaz6433
11. The Key Role of Warm Rain Parameterization in Determining the Aerosol Indirect Effect in a Global Climate Model X. Jing et al. https://doi.org/10.1175/JCLI-D-18-0789.1
12. Assessing sub-grid variability within satellite pixels over urban regions using airborne mapping spectrometer measurements W. Tang et al. https://doi.org/10.5194/amt-14-4639-2021
13. Using radar observations to evaluate 3-D radar echo structure simulated by the Energy Exascale Earth System Model (E3SM) version 1 J. Wang et al. https://doi.org/10.5194/gmd-14-719-2021