11 citations as recorded by crossref.

1. Evaluation of radar-based precipitation estimates during a flood event using rain gauge validation K. Dzwonkowski et al. https://doi.org/10.1038/s41598-026-40456-z
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3. Enhanced Multimodal-Fusion Network for Radar Quantitative Precipitation Estimation Incorporating Relative Humidity Data W. Cui et al. https://doi.org/10.1109/TGRS.2025.3585737
4. A Hierarchical Bayesian Approach for Bias Correction of NEXRAD Dual-Polarization Rainfall Estimates: Case Study on Hurricane Irma in Florida Y. Ma & V. Chandrasekar https://doi.org/10.1109/LGRS.2020.2983041
5. Evaluation of a new X-band weather radar for operational use in south Sweden S. Hosseini et al. https://doi.org/10.2166/wst.2020.066
6. Range Dependence of Polarimetric Radar Estimates for Extreme Flood-Producing Rainfall in Urban Watersheds M. Chaney et al. https://doi.org/10.1175/JHM-D-21-0191.1
7. Improving the use of ground-based radar rainfall data for monitoring and predicting floods in the Iguaçu river basin A. Falck et al. https://doi.org/10.1016/j.jhydrol.2018.10.046
8. Merging dual-polarization X-band radar network intelligence for improved microscale observation of summer rainfall in south Sweden S. Hosseini et al. https://doi.org/10.1016/j.jhydrol.2023.129090
9. Deep Learning for Tropical Rainfall: Enhancing Quantitative Estimation and Extreme Event Detection Using Polarimetric Radar N. Kouadio et al. https://doi.org/10.4236/ojmh.2026.162009
10. Assessing the Applicability of Random Forest, Stochastic Gradient Boosted Model, and Extreme Learning Machine Methods to the Quantitative Precipitation Estimation of the Radar Data: A Case Study to Gwangdeoksan Radar, South Korea, in 2018 J. Shin et al. https://doi.org/10.1155/2019/6542410
11. The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. https://doi.org/10.3390/rs13030351