9 citations as recorded by crossref.

1. Process-oriented statistical-dynamical evaluation of LM precipitation forecasts A. Claußnitzer et al. https://doi.org/10.5194/adgeo-16-33-2008
2. Limits of precipitation nowcasting by extrapolation of radar reflectivity for warm season in Central Europe J. Mejsnar et al. https://doi.org/10.1016/j.atmosres.2018.06.005
3. Associating raindrop size distribution types with microphysical structure of precipitation systems in the Indian core monsoon zone U. Krishna et al. https://doi.org/10.1038/s41598-026-63934-w
4. Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar W. Ghada et al. https://doi.org/10.3390/rs14184563
5. Analysis of quantitative precipitation forecasts using the Dynamic State Index A. Claußnitzer & P. Névir https://doi.org/10.1016/j.atmosres.2009.08.013
6. Flood occurrence analysis in small urban catchments in the context of regional variability B. Szeląg et al. https://doi.org/10.1371/journal.pone.0276312
7. Application of logistic regression to simulate the influence of rainfall genesis on storm overflow operations: a probabilistic approach B. Szeląg et al. https://doi.org/10.5194/hess-24-595-2020
8. Convective and stratiform precipitation trends in the Spanish Mediterranean coast A. Ruiz-Leo et al. https://doi.org/10.1016/j.atmosres.2011.07.019
9. Machine Learning Approach to Classify Rain Type Based on Thies Disdrometers and Cloud Observations W. Ghada et al. https://doi.org/10.3390/atmos10050251