9 citations as recorded by crossref.

1. Diabatic heating of mesoscale convective cloud systems from synergistic satellite data X. Chen et al. https://doi.org/10.1088/1755-1315/1522/1/012024
2. Lessons Learned from the Updated GEWEX Cloud Assessment Database C. Stubenrauch et al. https://doi.org/10.1007/s10712-024-09824-0
3. Observational structure and physical features of tropical precipitation systems Y. Chen et al. https://doi.org/10.1016/j.atmosres.2024.107885
4. A machine-learning-based perspective on deep convective clouds and their organisation in 3D – Part 2: Spatial–temporal patterns of convective organisation S. Brüning & H. Tost https://doi.org/10.5194/acp-25-10797-2025
5. Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review S. Salcedo-Sanz et al. https://doi.org/10.1007/s00704-023-04571-5
6. Opinion: Tropical cirrus – from micro-scale processes to climate-scale impacts B. Gasparini et al. https://doi.org/10.5194/acp-23-15413-2023
7. Relationship between latent and radiative heating fields of tropical cloud systems using synergistic satellite observations X. Chen et al. https://doi.org/10.5194/acp-25-6857-2025
8. Assessment of object-based indices to identify convective organization G. Mandorli & C. Stubenrauch https://doi.org/10.5194/gmd-17-7795-2024
9. GPM DPR Observations of Regional Differences in Tropical Precipitation Systems: Microphysical Features and Land–Ocean Contrasts Y. Chen et al. https://doi.org/10.3390/rs18111838