39 citations as recorded by crossref.

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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. Radar Quantitative Precipitation Estimation Algorithm Based on Precipitation Classification and Dynamical Z-R Relationship W. Peng et al. 10.3390/w14213436
7. Analyzing radar rainfall estimate errors with three vector norms: application to weather radar rainfall data in Muğla, Turkey A. Ozkaya & A. Yilmaz 10.1007/s00704-022-04034-3
8. ConvLSTM Network-Based Rainfall Nowcasting Method with Combined Reflectance and Radar-Retrieved Wind Field as Inputs W. Liu et al. 10.3390/atmos13030411
9. Bias adjustment and advection interpolation of long-term high resolution radar rainfall series S. Thorndahl et al. 10.1016/j.jhydrol.2013.10.056
10. Derived Observations From Frequently Sampled Microwave Measurements of Precipitation—Part I: Relations to Atmospheric Thermodynamics Z. Haddad et al. 10.1109/TGRS.2017.2671598
11. Quantitative Precipitation Estimation Model Integrating Meteorological and Geographical Factors at Multiple Spatial Scales W. Tian et al. 10.3389/feart.2022.908869
12. Flood forecasting based on radar precipitation nowcasting using U-net and its improved models J. Li et al. 10.1016/j.jhydrol.2024.130871
13. Towards a nonlinear radar-gauge adjustment of radar via a piece-wise method M. Bruen & F. O'Loughlin 10.1002/met.1390
14. Improved Algorithms for Removing Isolated Non-Meteorological Echoes and Ground Clutters in CINRAD H. Zou et al. 10.1007/s13351-018-7176-9
15. 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
16. Radar Quantitative Precipitation Estimation Based on the Gated Recurrent Unit Neural Network and Echo-Top Data H. Zou et al. 10.1007/s00376-022-2127-x
17. Radar-Based Precipitation Nowcasting Based on Improved U-Net Model Y. Tan et al. 10.3390/rs16101681
18. 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
19. Evaluation and Applicability Analysis of GPM Satellite Precipitation over Mainland China X. Pan et al. 10.3390/rs15112866
20. 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
21. Radar Estimation of Intense Rainfall Rates through Adaptive Calibration of the Z-R Relation A. Libertino et al. 10.3390/atmos6101559
22. Intelligent Reconstruction of Radar Composite Reflectivity Based on Satellite Observations and Deep Learning J. Zhao et al. 10.3390/rs16020275
23. Radar-derived quantitative precipitation estimation in complex terrain over the eastern Tibetan Plateau Y. Gou et al. 10.1016/j.atmosres.2017.12.017
24. 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
25. Addressing uncertainty in reflectivity-rainfall relations in mountain watersheds during summer convection H. Moreno et al. 10.1002/hyp.9600
26. Simulating sub-hourly rainfall data for current and future periods using two statistical disaggregation models: case studies from Germany and South Korea I. Vorobevskii et al. 10.5194/hess-28-391-2024
27. An evaluation of numerical weather prediction based rainfall forecasts M. Shahrban et al. 10.1080/02626667.2016.1170131
28. Comparison of vertical profile of raindrop size distribution from micro rain radar with global precipitation measurement over Western Java Island M. Marzuki et al. 10.1016/j.rsase.2022.100885
29. 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
30. 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
31. Applying bias correction for merging rain gauge and radar data E. Rabiei & U. Haberlandt 10.1016/j.jhydrol.2015.01.020
32. 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
33. Determination of the Z-R Relationship through Spatial Analysis of X-Band Weather Radar and Rain Gauge Data A. Bournas & E. Baltas 10.3390/hydrology9080137
34. CNGAT: A Graph Neural Network Model for Radar Quantitative Precipitation Estimation X. Peng et al. 10.1109/TGRS.2021.3120218
35. Application of Machine Learning Techniques to Improve Multi-Radar Mosaic Precipitation Estimates in Shanghai R. Wang et al. 10.3390/atmos14091364
36. An improved algorithm in unipolar weather radar calibration for rainfall estimation A. Nikahd et al. 10.1007/s41062-016-0006-y
37. A Dynamical Z-R Relationship for Precipitation Estimation Based on Radar Echo-Top Height Classification W. Wu et al. 10.1155/2018/8202031
38. Weather Radar and Rain-Gauge Data Fusion for Quantitative Precipitation Estimation: Two Case Studies F. Cuccoli et al. 10.1109/TGRS.2020.2978439
39. A Quantitative Precipitation Estimation Method Based on 3D Radar Reflectivity Inputs Y. Wen et al. 10.3390/sym16050555