92 citations as recorded by crossref.

1. A Bayesian partial pooling approach to mean field bias correction of weather radar rainfall estimates: Application to Osungsan weather radar in South Korea T. Kim et al. 10.1016/j.jhydrol.2018.07.082
2. Optimal RCM and spatial interpolation methods for estimating future precipitation in the Republic of Korea H. Park & D. Jang 10.1080/27678490.2022.2071130
3. Analysis on the Effect of Spatial Distribution of Rainfall on Soil Erosion and Deposition G. Lee et al. 10.3741/JKWRA.2012.45.7.657
4. Exploring single polarization X-band weather radar potentials for local meteorological and hydrological applications F. Lo Conti et al. 10.1016/j.jhydrol.2015.10.071
5. A review of gauge–radar merging methods for quantitative precipitation estimation in hydrology J. McKee & A. Binns 10.1080/07011784.2015.1064786
6. Exploration of an adaptive merging scheme for optimal precipitation estimation over ungauged urban catchment S. Fadhel et al. 10.2166/hydro.2016.022
7. A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China H. Wu et al. 10.1016/j.jhydrol.2020.124664
8. Combining radar and rain gauge rainfall estimates using conditional merging S. Sinclair & G. Pegram 10.1002/asl.85
9. Tipping Bucket Rain Gauges in Hydrological Research: Summary on Measurement Uncertainties, Calibration, and Error Reduction Strategies D. Segovia-Cardozo et al. 10.3390/s23125385
10. Merging Multisatellite and Gauge Precipitation Based on Geographically Weighted Regression and Long Short-Term Memory Network J. Shen et al. 10.3390/rs14163939
11. Pattern evaluation of operational radar reflectivity–rainfall relationship for Quitandinha River flooding events: Petrópolis, Rio de Janeiro (Brazil) F. da Silva et al. 10.1007/s12665-020-09273-z
12. 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
13. Research Activity on Statistical Downscaling for Precipitation A. Tiberiu 10.2139/ssrn.1370912
14. Radar Estimation of Intense Rainfall Rates through Adaptive Calibration of the Z-R Relation A. Libertino et al. 10.3390/atmos6101559
15. A climatological benchmark for operational radar rainfall bias reduction R. Imhoff et al. 10.5194/hess-25-4061-2021
16. A new method for estimation of spatially distributed rainfall through merging satellite observations, raingauge records, and terrain digital elevation model data H. Shi et al. 10.1016/j.jher.2017.10.006
17. Quality-Based Combination of Multi-Source Precipitation Data A. Jurczyk et al. 10.3390/rs12111709
18. Evaluating the use of bias-corrected radar rainfall data in three flood events in Samsun, Turkey A. Ozkaya & Z. Akyurek 10.1007/s11069-019-03723-z
19. Performing Hydrological Monitoring at a National Scale by Exploiting Rain-Gauge and Radar Networks: The Italian Case G. Bruno et al. 10.3390/atmos12060771
20. Geostatistical Analysis of Rainfall. 降雨量的地统计分析 D. Grimes & E. Pardo‐Igúzquiza 10.1111/j.1538-4632.2010.00787.x
21. A non-parametric automatic blending methodology to estimate rainfall fields from rain gauge and radar data C. Velasco-Forero et al. 10.1016/j.advwatres.2008.10.004
22. Evaluation of the Impacts of Rain Gauge Density and Distribution on Gauge-Satellite Merged Precipitation Estimates Y. Chen et al. 10.1109/TGRS.2020.3037099
23. Novel approach to integrate daily satellite rainfall with in-situ rainfall, Upper Tekeze Basin, Ethiopia M. Gebremedhin et al. 10.1016/j.atmosres.2020.105135
24. Evaluation of Error Indices of Radar Rain Rate Targeting Rainfall-Runoff Analysis C. Yoo et al. 10.1061/(ASCE)HE.1943-5584.0001393
25. Radar polygon method: an areal rainfall estimation based on radar rainfall imageries W. Cho et al. 10.1007/s00477-016-1348-x
26. Rainfall estimation by rain gauge‐radar combination: A concurrent multiplicative‐additive approach J. García‐Pintado et al. 10.1029/2008WR007011
27. Predicting Surface Runoff from Catchment to Large Region H. Li et al. 10.1155/2015/720967
28. Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland R. Schiemann et al. 10.5194/hess-15-1515-2011
29. RADOLAN_API: An Hourly Soil Moisture Data Set Based on Weather Radar, Soil Properties and Reanalysis Temperature Data T. Ramsauer et al. 10.3390/rs13091712
30. Sampling design optimisation for rainfall prediction using a non-stationary geostatistical model A. Wadoux et al. 10.1016/j.advwatres.2017.06.005
31. Weather radar rainfall data in urban hydrology S. Thorndahl et al. 10.5194/hess-21-1359-2017
32. An evaluation of weather radar adjustment algorithms using synthetic data M. Silver et al. 10.1016/j.jhydrol.2019.06.064
33. Association of climate drivers with rainfall in New South Wales, Australia, using Bayesian Model Averaging H. Duc et al. 10.1007/s00704-015-1622-8
34. Singularity-sensitive gauge-based radar rainfall adjustment methods for urban hydrological applications L. Wang et al. 10.5194/hess-19-4001-2015
35. Numerical Experiments Applying Simple Kriging to Intermittent and Log-Normal Data Y. Ro & C. Yoo 10.3390/w14091364
36. Pipedream: An interactive digital twin model for natural and urban drainage systems M. Bartos & B. Kerkez 10.1016/j.envsoft.2021.105120
37. Data Transformation and Uncertainty in Geostatistical Combination of Radar and Rain Gauges R. Erdin et al. 10.1175/JHM-D-11-096.1
38. Conditional simulation of spatial rainfall fields using random mixing: a study that implements full control over the stochastic process J. Yan et al. 10.5194/hess-25-3819-2021
39. Forecasting weather radar propagation conditions J. Bech et al. 10.1007/s00703-006-0211-x
40. An Assessment on Geographically Weighted Regression-Based Merging Method of Satellite and Gauge Rainfall Q. Hu et al. 10.4028/www.scientific.net/AMM.641-642.19
41. Understanding the Mechanical Biases of Tipping-Bucket Rain Gauges: A Semi-Analytical Calibration Approach D. Segovia-Cardozo et al. 10.3390/w13162285
42. Extreme Wave Analysis by Integrating Model and Wave Buoy Data F. Dentale et al. 10.3390/w10040373
43. 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
44. A space‐time Neyman–Scott rainfall model with defined storm extent M. Leonard et al. 10.1029/2007WR006110
45. 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
46. Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data P. Yang & T. Ng 10.1029/2018WR023857
47. seNorge2 daily precipitation, an observational gridded dataset over Norway from 1957 to the present day C. Lussana et al. 10.5194/essd-10-235-2018
48. Evaluation of radar-gauge merging methods for quantitative precipitation estimates E. Goudenhoofdt & L. Delobbe 10.5194/hess-13-195-2009
49. Joint distribution of multiplicative errors in radar and satellite QPEs and its use in estimating the conditional exceedance probability Y. Zhang et al. 10.1016/j.advwatres.2013.06.004
50. Geostatistical Integration of Coarse Resolution Satellite Precipitation Products and Rain Gauge Data to Map Precipitation at Fine Spatial Resolutions N. Park et al. 10.3390/rs9030255
51. Comparing Approaches to Deal With Non‐Gaussianity of Rainfall Data in Kriging‐Based Radar‐Gauge Rainfall Merging F. Cecinati et al. 10.1002/2016WR020330
52. 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
53. Comprehensive evaluation of IMERG, ERA5-Land and their fusion products in the hydrological simulation of three karst catchments in Southwest China Y. Chang et al. 10.1016/j.ejrh.2024.101671
54. Cellular automata algorithms for drainage network extraction and rainfall data assimilation E. COPPOLA et al. 10.1623/hysj.52.3.579
55. A framework for developing a spatial high-resolution daily precipitation dataset over a data-sparse region F. Yazdandoost et al. 10.1016/j.heliyon.2020.e05091
56. An improved statistical approach to merge satellite rainfall estimates and raingauge data M. Li & Q. Shao 10.1016/j.jhydrol.2010.01.023
57. A Multi-Source Data Fusion Method to Improve the Accuracy of Precipitation Products: A Machine Learning Algorithm M. Assiri & S. Qureshi 10.3390/rs14246389
58. Spatiotemporal Precipitation Estimation from Rain Gauges and Meteorological Radar Using Geostatistics E. Cassiraga et al. 10.1007/s11004-020-09882-1
59. Improving Rainfall Fields in Data-Scarce Basins: Influence of the Kernel Bandwidth Value of Merging on Hydrometeorological Modeling N. Duque-Gardeazabal & E. Rodríguez 10.1061/JHYEFF.HEENG-5541
60. A Flexible Bayesian Approach to Bias Correction of Radar-Derived Precipitation Estimates over Complex Terrain: Model Design and Initial Verification H. Chen et al. 10.1175/JHM-D-19-0136.1
61. High‐resolution satellite‐gauge merged precipitation climatologies of the Tropical Andes B. Manz et al. 10.1002/2015JD023788
62. Future Changes in Precipitation Over Northern Europe Based on a Multi-model Ensemble from CMIP6: Focus on Tana River Basin S. Moradian et al. 10.1007/s11269-022-03272-4
63. A deep learning-based framework for multi-source precipitation fusion K. Gavahi et al. 10.1016/j.rse.2023.113723
64. Bias Correction of Hourly Satellite Precipitation Products and Their Application in Hydrological Modeling in a Hilly Watershed, China J. Ye et al. 10.3390/w16010049
65. Role and treatment of uncertainty in real‐time flood forecasting E. Todini 10.1002/hyp.5687
66. An All-Season Flash Flood Forecasting System for Real-Time Operations P. Broxton et al. 10.1175/BAMS-D-12-00212.1
67. Research studies on improvement in real-time estimation of radar-based precipitation in Poland A. Jurczyk et al. 10.1007/s00703-007-0266-3
68. Geostatistical Merging of a Single-Polarized X-Band Weather Radar and a Sparse Rain Gauge Network over an Urban Catchment I. Seck & J. Van Baelen 10.3390/atmos9120496
69. A century and a half precipitation oxygen isoscape for China generated using data fusion and bias correction J. Chen et al. 10.1038/s41597-023-02095-1
70. MSDM v1.0: A machine learning model for precipitation nowcasting over eastern China using multisource data D. Li et al. 10.5194/gmd-14-4019-2021
71. Machine Learning–Based Blending of Satellite and Reanalysis Precipitation Datasets: A Multiregional Tropical Complex Terrain Evaluation M. Ehsan Bhuiyan et al. 10.1175/JHM-D-19-0073.1
72. Evaluation of the Radar QPE and Rain Gauge Data Merging Methods in Northern China Q. Qiu et al. 10.3390/rs12030363
73. Tropical Andes Radar Precipitation Estimates Need High Temporal and Moderate Spatial Resolution M. Guallpa et al. 10.3390/w11051038
74. Improving daily precipitation estimation in the data scarce area by merging rain gauge and TRMM data with a transfer learning framework Z. Liu et al. 10.1016/j.jhydrol.2022.128455
75. From calibration to real‐time operations: an assessment of three precipitation benchmarks for a Swiss river system N. Andres et al. 10.1002/met.1569
76. Combining meteorological radar and network of rain gauges data for space–time model development V. Pastoriza et al. 10.1002/sat.954
77. Consideration of rainfall intermittency and log-normality on the merging of radar and the rain gauge rain rate Y. Ro & C. Yoo 10.1016/j.jhydrol.2020.125178
78. Utilisation of radar information to refine precipitation fields by a variational approach S. Schneider & R. Steinacker 10.1007/s00703-008-0334-3
79. A Comparative Analysis of TRMM–Rain Gauge Data Merging Techniques at the Daily Time Scale for Distributed Rainfall–Runoff Modeling Applications D. Nerini et al. 10.1175/JHM-D-14-0197.1
80. Probabilistic Quantitative Precipitation Estimation in Complex Terrain M. Clark & A. Slater 10.1175/JHM474.1
81. An optimal merging technique for high-resolution precipitation products R. Shrestha et al. 10.1029/2011MS000062
82. Probabilistic radar-gauge merging by multivariate spatiotemporal techniques S. Pulkkinen et al. 10.1016/j.jhydrol.2016.09.036
83. Combining Radar and Rain Gauge Rainfall Estimates for Flood Forecasting: A Case Study in The Jinzu River Basin, Japan D. ADMOJO et al. 10.2208/jscejer.73.I_251
84. Simulating Small‐Scale Rainfall Fields Conditioned by Weather State and Elevation: A Data‐Driven Approach Based on Rainfall Radar Images F. Oriani et al. 10.1002/2017WR020876
85. Secondary Precipitation Estimate Merging Using Machine Learning: Development and Evaluation over Krishna River Basin, India V. Kolluru et al. 10.3390/rs12183013
86. Current Awareness 10.1002/hyp.538
87. Enhancement of Satellite Precipitation Estimations with Bias Correction and Data-Merging Schemes for Flood Forecasting E. Soo et al. 10.1061/(ASCE)HE.1943-5584.0002190
88. MSWEP: 3-hourly 0.25° global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data H. Beck et al. 10.5194/hess-21-589-2017
89. Influence of the Pacific and Indian Ocean climate drivers on the rainfall in Vietnam H. Duc et al. 10.1002/joc.5774
90. Evaluation of Radar Precipitation Products and Assessment of the Gauge-Radar Merging Methods in Southeast Texas for Extreme Precipitation Events W. Li et al. 10.3390/rs15082033
91. Reduced space optimal interpolation of daily rain gauge precipitation in Switzerland R. Schiemann et al. 10.1029/2009JD013047
92. Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. 10.3390/atmos11090884