14 citations as recorded by crossref.

1. Radar Maxima: Calibrated Area‐Based Probabilistic Forecasts for Heavy Precipitation R. Hess
2. Bias-targeted deep learning enhances short-range heavy rainfall forecasts T. Tang et al.
3. A probabilistic approach to the prediction of area weather events, applied to precipitation B. Kriesche et al.
4. Validation of official erosion modelling based on high‐resolution radar rain data by aerial photo erosion classification F. Fischer et al.
5. Evaluation of High‐Resolution Downscaling Predictions for the July 2023 Extreme Rainstorm in the Beijing‐Tianjin‐Hebei Region Based on CMA‐CPSv3 J. Yang et al.
6. Area precipitation probabilities derived from point forecasts for operational weather and warning service applications R. Hess et al.
7. Statistical Characteristics of Unsteady Storms in Radar Observations for the Beijing–Tianjin Region Y. Wang et al.
8. A composite approach of radar echo extrapolation based on TREC vectors in combination with model-predicted winds Q. Liang et al.
9. How Well Does Weather Research and Forecasting (WRF) Model Simulate Storm Rashmi (2008) Itself and Its Associated Extreme Precipitation over the Tibetan Plateau at the Same Time? P. An et al.
10. A Calibrated Combination of Probabilistic Precipitation Forecasts to Achieve a Seamless Transition from Nowcasting to Very Short-Range Forecasting P. Schaumann et al.
11. A Calibrated and Consistent Combination of Probabilistic Forecasts for the Exceedance of Several Precipitation Thresholds Using Neural Networks P. Schaumann et al.
12. Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1) G. Ayzel et al.
13. NowCastMIX: Automatic Integrated Warnings for Severe Convection on Nowcasting Time Scales at the German Weather Service P. James et al.
14. Performance Evaluation of Multi-Typed Precipitation Products for Agricultural Research in the Amur River Basin over the Sino–Russian Border Region Y. Zhou et al.