8 citations as recorded by crossref.

1. Merging dual-polarization X-band radar network intelligence for improved microscale observation of summer rainfall in south Sweden S. Hosseini et al. 10.1016/j.jhydrol.2023.129090
2. A Review of Radar‐Rain Gauge Data Merging Methods and Their Potential for Urban Hydrological Applications S. Ochoa‐Rodriguez et al. 10.1029/2018WR023332
3. A Hierarchical Bayesian Approach for Bias Correction of NEXRAD Dual-Polarization Rainfall Estimates: Case Study on Hurricane Irma in Florida Y. Ma & V. Chandrasekar 10.1109/LGRS.2020.2983041
4. Evaluation of a new X-band weather radar for operational use in south Sweden S. Hosseini et al. 10.2166/wst.2020.066
5. Range Dependence of Polarimetric Radar Estimates for Extreme Flood-Producing Rainfall in Urban Watersheds M. Chaney et al. 10.1175/JHM-D-21-0191.1
6. Improving the use of ground-based radar rainfall data for monitoring and predicting floods in the Iguaçu river basin A. Falck et al. 10.1016/j.jhydrol.2018.10.046
7. 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. 10.1155/2019/6542410
8. The Role of Weather Radar in Rainfall Estimation and Its Application in Meteorological and Hydrological Modelling—A Review Z. Sokol et al. 10.3390/rs13030351