24 citations as recorded by crossref.

1. Derived Observations From Frequently Sampled Microwave Measurements of Precipitation. Part II: Sensitivity to Atmospheric Variables and Instrument Parameters O. Sy et al. 10.1109/TGRS.2017.2656061
2. Temporal precipitation estimation from nearby radar reflectivity using dynamic factor analysis in the mountainous watershed - a case during Typhoon Morakot Y. Kuo et al. 10.1002/hyp.9639
3. Performance of Using Cascade Forward Back Propagation Neural Networks for Estimating Rain Parameters with Rain Drop Size Distribution S. Tengeleng & N. Armand 10.3390/atmos5020454
4. Real-Time Parameter Estimation of a Dual-Pol Radar Rain Rate Estimator Using the Extended Kalman Filter W. Na & C. Yoo 10.3390/rs13122365
5. A Dynamic Approach to Quantitative Precipitation Estimation Using Multiradar Multigauge Network Y. Gou et al. 10.1109/TGRS.2020.2976724
6. Bias adjustment and advection interpolation of long-term high resolution radar rainfall series S. Thorndahl et al. 10.1016/j.jhydrol.2013.10.056
7. Derived Observations From Frequently Sampled Microwave Measurements of Precipitation—Part I: Relations to Atmospheric Thermodynamics Z. Haddad et al. 10.1109/TGRS.2017.2671598
8. Towards a nonlinear radar-gauge adjustment of radar via a piece-wise method M. Bruen & F. O'Loughlin 10.1002/met.1390
9. Improved Algorithms for Removing Isolated Non-Meteorological Echoes and Ground Clutters in CINRAD H. Zou et al. 10.1007/s13351-018-7176-9
10. Analysis of the Z-R relationship using X-Band weather radar measurements in the area of Athens A. Pappa et al. 10.1007/s11600-021-00622-5
11. Calibration of the reflectivity-rainfall rate (Z-R) relationship using long-term radar reflectivity factor over the entire South Korea region in a Bayesian perspective T. Kim et al. 10.1016/j.jhydrol.2020.125790
12. Analysis of Rain Types and Their Z–R Relationships at Different Locations in the High Andes of Southern Ecuador J. Orellana-Alvear et al. 10.1175/JAMC-D-17-0009.1
13. Radar Estimation of Intense Rainfall Rates through Adaptive Calibration of the Z-R Relation A. Libertino et al. 10.3390/atmos6101559
14. Radar-derived quantitative precipitation estimation in complex terrain over the eastern Tibetan Plateau Y. Gou et al. 10.1016/j.atmosres.2017.12.017
15. Stratiform and Convective Radar Reflectivity–Rain Rate Relationships and Their Potential to Improve Radar Rainfall Estimates B. Kirsch et al. 10.1175/JAMC-D-19-0077.1
16. Addressing uncertainty in reflectivity-rainfall relations in mountain watersheds during summer convection H. Moreno et al. 10.1002/hyp.9600
17. An evaluation of numerical weather prediction based rainfall forecasts M. Shahrban et al. 10.1080/02626667.2016.1170131
18. Radar Data Analyses for a Single Rainfall Event and Their Application for Flow Simulation in an Urban Catchment Using the SWMM Model M. Barszcz 10.3390/w10081007
19. Using Extended Kalman Filter for Real-time Decision of Parameters of Z-R Relationship J. Kim & C. Yoo 10.3741/JKWRA.2014.47.2.119
20. Applying bias correction for merging rain gauge and radar data E. Rabiei & U. Haberlandt 10.1016/j.jhydrol.2015.01.020
21. Merging radar and rain gauge data by using spatial–temporal local weighted linear regression kriging for quantitative precipitation estimation G. Zhang et al. 10.1016/j.jhydrol.2021.126612
22. An improved algorithm in unipolar weather radar calibration for rainfall estimation A. Nikahd et al. 10.1007/s41062-016-0006-y
23. A Dynamical Z-R Relationship for Precipitation Estimation Based on Radar Echo-Top Height Classification W. Wu et al. 10.1155/2018/8202031
24. Weather Radar and Rain-Gauge Data Fusion for Quantitative Precipitation Estimation: Two Case Studies F. Cuccoli et al. 10.1109/TGRS.2020.2978439