235 citations as recorded by crossref.

1. Radar Rainfall Estimation in Morocco: Quality Control and Gauge Adjustment Z. Sahlaoui & S. Mordane https://doi.org/10.3390/hydrology6020041
2. Radar and Rain Gauge Merging-Based Precipitation Estimation via Geographical–Temporal Attention Continuous Conditional Random Field Y. Tang et al. https://doi.org/10.1109/TGRS.2018.2819802
3. A multi‐year assessment of sub‐hourly gridded precipitation for Switzerland based on a blended radar—Rain‐gauge dataset Y. Barton et al. https://doi.org/10.1002/joc.6514
4. Inferring catchment precipitation by doing hydrology backward: A test in 24 small and mesoscale catchments in Luxembourg R. Krier et al. https://doi.org/10.1029/2011WR010657
5. A Variational Approach to Retrieve Rain Rate by Combining Information from Rain Gauges, Radars, and Microwave Links B. Bianchi et al. https://doi.org/10.1175/JHM-D-12-094.1
6. Precipitation threshold for urban flood warning - an analysis using the satellite-based flooded area and radar-gauge composite rainfall data D. Dao et al. https://doi.org/10.1016/j.jher.2020.08.001
7. Multi-source fusion for high-precision quantitative precipitation estimation in the Pearl River Basin G. Wang et al. https://doi.org/10.1016/j.ejrh.2026.103520
8. Geostatistical Integration of Coarse Resolution Satellite Precipitation Products and Rain Gauge Data to Map Precipitation at Fine Spatial Resolutions N. Park et al. https://doi.org/10.3390/rs9030255
9. RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements O. Baez-Villanueva et al. https://doi.org/10.1016/j.rse.2019.111606
10. A Double-Smoothing Algorithm for Integrating Satellite Precipitation Products in Areas with Sparsely Distributed In Situ Networks S. Bi et al. https://doi.org/10.3390/ijgi6010028
11. Weather Radar in Complex Orography U. Germann et al. https://doi.org/10.3390/rs14030503
12. Automated convective and stratiform precipitation estimation in a small mountainous catchment using X-band radar data in Central Spain C. Guardiola-Albert et al. https://doi.org/10.2166/hydro.2016.225
13. On the Impact of NWP Model Background on Very High–Resolution Analyses in Complex Terrain A. Kann et al. https://doi.org/10.1175/WAF-D-15-0001.1
14. Threshold contour production of rainfall intensity that induces landslides in susceptible regions of northern Turkey O. Althuwaynee et al. https://doi.org/10.1007/s10346-018-0968-2
15. The accuracy of weather radar in heavy rain: a comparative study for Denmark, the Netherlands, Finland and Sweden M. Schleiss et al. https://doi.org/10.5194/hess-24-3157-2020
16. Radar Quantitative Precipitation Estimation Algorithm Based on Precipitation Classification and Dynamical Z-R Relationship W. Peng et al. https://doi.org/10.3390/w14213436
17. Spatial interpolation of climate variables in Northern Germany—Influence of temporal resolution and network density C. Berndt & U. Haberlandt https://doi.org/10.1016/j.ejrh.2018.02.002
18. The impact of reflectivity correction and accounting for raindrop size distribution variability to improve precipitation estimation by weather radar for an extreme low-land mesoscale convective system P. Hazenberg et al. https://doi.org/10.1016/j.jhydrol.2014.09.057
19. Identification and uncertainty estimation of vertical reflectivity profiles using a Lagrangian approach to support quantitative precipitation measurements by weather radar P. Hazenberg et al. https://doi.org/10.1002/jgrd.50726
20. Spatial reconstruction of rainfall fields from rain gauge and radar data F. Bruno et al. https://doi.org/10.1007/s00477-013-0812-0
21. Rainfall Thresholds for Flow Generation in Desert Ephemeral Streams S. Kampf et al. https://doi.org/10.1029/2018WR023714
22. Downscaling the Z–R relationship and bias correction solution for flash flood assessment in a data-scarce basin, Thailand P. Mapiam et al. https://doi.org/10.2166/wst.2023.056
23. Imperfect scaling in distributions of radar-derived rainfall fields M. van den Berg et al. https://doi.org/10.5194/hess-18-5331-2014
24. Probabilistic flood prediction for urban sub-catchments using sewer models combined with logistic regression models X. Li & P. Willems https://doi.org/10.1080/1573062X.2020.1726409
25. An assessment of kriging‐based rain‐gauge–radar merging techniques S. Jewell & N. Gaussiat https://doi.org/10.1002/qj.2522
26. Technical Note: An open source library for processing weather radar data (wradlib) M. Heistermann et al. https://doi.org/10.5194/hess-17-863-2013
27. Comparison of one-moment and two-moment bulk microphysics for high-resolution climate simulations of intense precipitation K. Van Weverberg et al. https://doi.org/10.1016/j.atmosres.2014.05.012
28. Combining an EKF soil analysis with a 3D‐Var upper‐air assimilation in a limited‐area NWP model A. Duerinckx et al. https://doi.org/10.1002/qj.3141
29. The Weather Radar Observations Applied to Shallow Landslides Prediction: A Case Study From North-Western Italy R. Cremonini & D. Tiranti https://doi.org/10.3389/feart.2018.00134
30. Merging weather radar data and opportunistic rainfall sensor data to enhance rainfall estimates J. Nielsen et al. https://doi.org/10.1016/j.atmosres.2024.107228
31. 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. https://doi.org/10.5194/hess-28-391-2024
32. Dynamic gauge adjustment of high-resolution X-band radar data for convective rain storms: Model-based evaluation against measured combined sewer overflow M. Borup et al. https://doi.org/10.1016/j.jhydrol.2016.05.002
33. Analysis of spatial distribution of precipitation using hydrological modeling of watersheds (Case Study: Dez Dam Watershed) A. Gorjizade & A. Shahbazi https://doi.org/10.1007/s12145-024-01612-z
34. Integrated Rainfall Estimation Using Rain Gauges and Weather Radar: Implications for Rainfall-Induced Landslides M. De Biase et al. https://doi.org/10.3390/rs17213629
35. 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
36. Performance Evaluation of the Multiple Quantile Regression Model for Estimating Spatial Soil Moisture after Filtering Soil Moisture Outliers C. Jung et al. https://doi.org/10.3390/rs12101678
37. Evaluation of Gauge‐Radar Merging Methods Using a Semi‐Distributed Hydrological Model in the Upper Thames River Basin, Canada J. McKee et al. https://doi.org/10.1111/1752-1688.12625
38. A Study of Spatial Soil Moisture Estimation Using a Multiple Linear Regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging C. Jung et al. https://doi.org/10.3390/rs9080870
39. A Study on Radar–Gauge Rainfall Data Merging and Its Impact on Flood Simulation Y. Peng et al. https://doi.org/10.3390/rs18152587
40. The Significance of the Spatial Variability of Rainfall on the Numerical Simulation of Urban Floods L. Courty et al. https://doi.org/10.3390/w10020207
41. Merging weather radar observations with ground-based measurements of rainfall using an adaptive multiquadric surface fitting algorithm B. Martens et al. https://doi.org/10.1016/j.jhydrol.2013.07.011
42. Interpolating Hydrologic Data Using Laplace Formulation T. Xu et al. https://doi.org/10.3390/rs15153844
43. Radar for hydrology: Unfulfilled promise or unrecognized potential? A. Berne & W. Krajewski https://doi.org/10.1016/j.advwatres.2012.05.005
44. Geospatial blending to improve spatial mapping of precipitation with high spatial resolution by merging satellite-based and ground-based data B. Jongjin et al. https://doi.org/10.1002/hyp.10786
45. Cross-evaluation of ground-based, multi-satellite and reanalysis precipitation products: Applicability of the Triple Collocation method across Mainland China C. Li et al. https://doi.org/10.1016/j.jhydrol.2018.04.039
46. Consideration of rainfall intermittency and log-normality on the merging of radar and the rain gauge rain rate Y. Ro & C. Yoo https://doi.org/10.1016/j.jhydrol.2020.125178
47. Improving estimates of water resources availability over North Tropical South America: comparison of two satellite precipitation merging schemes N. Duque Gardeazabal et al. https://doi.org/10.15446/esrj.v28n1.104344
48. Combining Radar and Rain Gauge Rainfall Estimates for Flood Forecasting: A Case Study in The Jinzu River Basin, Japan D. ADMOJO et al. https://doi.org/10.2208/jscejer.73.I_251
49. Spatial analysis of sunshine duration in complex terrain by non‐contemporaneous combination of station and satellite data C. Frei et al. https://doi.org/10.1002/joc.4322
50. 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. https://doi.org/10.1175/JHM-D-14-0197.1
51. Assessment of Native Radar Reflectivity and Radar Rainfall Estimates for Discharge Forecasting in Mountain Catchments with a Random Forest Model J. Orellana-Alvear et al. https://doi.org/10.3390/rs12121986
52. Application of weather Radar for operational hydrology in Canada – a review D. Wijayarathne & P. Coulibaly https://doi.org/10.1080/07011784.2020.1854119
53. A review of gauge–radar merging methods for quantitative precipitation estimation in hydrology J. McKee & A. Binns https://doi.org/10.1080/07011784.2015.1064786
54. Short time precipitation estimation using weather radar and surface observations: With rainfall displacement information integrated in a stochastic manner J. Yan & A. Bárdossy https://doi.org/10.1016/j.jhydrol.2019.04.061
55. Assessing specific differential phase (KDP)-based quantitative precipitation estimation for the record- breaking rainfall over Zhengzhou city on 20 July 2021 H. Li et al. https://doi.org/10.5194/hess-27-1033-2023
56. Improving design precipitation estimates by combining estimates from high-resolution adjusted radar data and long-term ombrographic measurements M. Kašpar et al. https://doi.org/10.1016/j.atmosres.2025.108557
57. Quantitative precipitation estimation based on high-resolution numerical weather prediction and data assimilation with WRF – a performance test H. Bauer et al. https://doi.org/10.3402/tellusa.v67.25047
58. 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. https://doi.org/10.1016/j.jhydrol.2020.125790
59. Enhancement of radar rainfall estimates for urban hydrology through optical flow temporal interpolation and Bayesian gauge-based adjustment L. Wang et al. https://doi.org/10.1016/j.jhydrol.2015.05.049
60. Radar Estimation of Intense Rainfall Rates through Adaptive Calibration of the Z-R Relation A. Libertino et al. https://doi.org/10.3390/atmos6101559
61. Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023 A. Biondi et al. https://doi.org/10.3390/rs16213985
62. Precipitation accumulation analysis – assimilation of radar-gauge measurements and validation of different methods E. Gregow et al. https://doi.org/10.5194/hess-17-4109-2013
63. Data Transformation and Uncertainty in Geostatistical Combination of Radar and Rain Gauges R. Erdin et al. https://doi.org/10.1175/JHM-D-11-096.1
64. Geostatistical radar–raingauge merging: A novel method for the quantification of rain estimation accuracy G. Delrieu et al. https://doi.org/10.1016/j.advwatres.2014.06.005
65. Assessing Quantitative Precipitation Estimation Methods Based on the Fusion of Weather Radar and Rain-Gauge Data A. Biondi et al. https://doi.org/10.1109/LGRS.2024.3434650
66. Deriving Spatially Distributed Precipitation Data Using the Artificial Neural Network and Multilinear Regression Models S. Sharma et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000617
67. Spatial interpolation of precipitation from multiple rain gauge networks and weather radar data for operational applications in Alpine catchments A. Foehn et al. https://doi.org/10.1016/j.jhydrol.2018.05.027
68. The hourly precipitation intensity and frequency in the Yarlung Zangbo river basin in China during last decade G. Wu et al. https://doi.org/10.1007/s00703-020-00730-9
69. An Operational Weather Radar–Based Quantitative Precipitation Estimation and its Application in Catchment Water Resources Modeling X. He et al. https://doi.org/10.2136/vzj2010.0034
70. Fusion and Evaluation of Multi-Source Satellite Remote Sensing Precipitation Products Based on Transformer Machine Learning Q. Luo et al. https://doi.org/10.3390/w18030358
71. 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. https://doi.org/10.1016/j.jhydrol.2018.07.082
72. Calibration of X-Band Radar for Extreme Events in a Spatially Complex Precipitation Region in North Peru: Machine Learning vs. Empirical Approach R. Rollenbeck et al. https://doi.org/10.3390/atmos12121561
73. Evaluation of moist processes during intense precipitation in km-scale NWP models using remote sensing and in-situ data: Impact of microphysics size distribution assumptions K. Van Weverberg et al. https://doi.org/10.1016/j.atmosres.2010.08.017
74. A framework for incorporating rainfall data into a flooding digital twin A. Green et al. https://doi.org/10.1016/j.jhydrol.2025.132893
75. The Potential of Knowing More: A Review of Data-Driven Urban Water Management S. Eggimann et al. https://doi.org/10.1021/acs.est.6b04267
76. Weather Radar Adjustment Using Runoff from Urban Surfaces M. Ahm & M. Rasmussen https://doi.org/10.1061/(ASCE)HE.1943-5584.0001299
77. Improving Spatial Rainfall Estimates at Mt. Merapi Area Using Radar-Rain Gauge Conditional Merging R. Hambali et al. https://doi.org/10.20965/jdr.2019.p0069
78. Diagnosing and Conditionally Correcting X-Band Radar Underestimation in Cyprus: A Cross-Validated Evaluation of Spatial Merging and Machine Learning Approaches H. Hanmante et al. https://doi.org/10.3390/rs18152577
79. Spatial merging of satellite based soil moisture and in-situ soil moisture using conditional merging technique J. Lee et al. https://doi.org/10.3741/JKWRA.2016.49.3.263
80. Multi-source rainfall merging and reservoir inflow forecasting by ensemble technique and artificial intelligence Y. Chiang et al. https://doi.org/10.1016/j.ejrh.2022.101204
81. Exploration of an adaptive merging scheme for optimal precipitation estimation over ungauged urban catchment S. Fadhel et al. https://doi.org/10.2166/hydro.2016.022
82. An evaluation of weather radar adjustment algorithms using synthetic data M. Silver et al. https://doi.org/10.1016/j.jhydrol.2019.06.064
83. A Review of Radar‐Rain Gauge Data Merging Methods and Their Potential for Urban Hydrological Applications S. Ochoa‐Rodriguez et al. https://doi.org/10.1029/2018WR023332
84. Integration of gauge and radar rainfall to enable best simulation of hydrological parameters P. Gurung https://doi.org/10.1080/02626667.2015.1117087
85. Brief communication "Using the new Philippine radar network to reconstruct the <i>Habagat of August 2012</i> monsoon event around Metropolitan Manila" M. Heistermann et al. https://doi.org/10.5194/nhess-13-653-2013
86. Development and verification of a real-time stochastic precipitation nowcasting system for urban hydrology in Belgium L. Foresti et al. https://doi.org/10.5194/hess-20-505-2016
87. Can stormwater runoff measurements be used for weather radar rainfall adjustment? J. Nielsen et al. https://doi.org/10.2166/hydro.2024.172
88. Applicability of open rainfall data to event-scale urban rainfall-runoff modelling T. Niemi et al. https://doi.org/10.1016/j.jhydrol.2017.01.056
89. Application of Radar-Based Precipitation Data Improves the Effectiveness of Urban Inundation Forecasting D. Tri et al. https://doi.org/10.3390/su16093736
90. Sensitivity analysis of the hydrological response of the Gaping River basin to radar-raingauge quantitative precipitation estimates T. Pan et al. https://doi.org/10.1080/02626667.2014.923969
91. High‐Resolution Simulation Study Exploring the Potential of Radars, Crowdsourced Personal Weather Stations, and Commercial Microwave Links to Monitor Small‐Scale Urban Rainfall L. de Vos et al. https://doi.org/10.1029/2018WR023393
92. Advanced stepwise machine learning integration of near-real-time precipitation products in China's flood-prone basins L. Liu & H. Lei https://doi.org/10.1016/j.atmosres.2025.108197
93. Geostatistical merging of rain gauge and radar data for high temporal resolutions and various station density scenarios C. Berndt et al. https://doi.org/10.1016/j.jhydrol.2013.10.028
94. Performing Hydrological Monitoring at a National Scale by Exploiting Rain-Gauge and Radar Networks: The Italian Case G. Bruno et al. https://doi.org/10.3390/atmos12060771
95. Hydrological application and accuracy evaluation of PERSIANN satellite-based precipitation estimates over a humid continental climate catchment M. Eini et al. https://doi.org/10.1016/j.ejrh.2022.101109
96. Evaluation of high-resolution precipitation analyses using a dense station network A. Kann et al. https://doi.org/10.5194/hess-19-1547-2015
97. The Impact of Size Distribution Assumptions in a Bulk One-Moment Microphysics Scheme on Simulated Surface Precipitation and Storm Dynamics during a Low-Topped Supercell Case in Belgium K. Van Weverberg et al. https://doi.org/10.1175/2010MWR3481.1
98. Relevance of merging radar and rainfall gauge data for rainfall nowcasting in urban hydrology B. Shehu & U. Haberlandt https://doi.org/10.1016/j.jhydrol.2020.125931
99. Mosaicking Weather Radar Retrievals from an Operational Heterogeneous Network at C and X Band for Precipitation Monitoring in Italian Central Apennines S. Barbieri et al. https://doi.org/10.3390/rs14020248
100. Evaluation of TRMM Multi-satellite Precipitation Analysis (TMPA) performance in the Central Andes region and its dependency on spatial and temporal resolution M. Scheel et al. https://doi.org/10.5194/hess-15-2649-2011
101. Generation of sub-daily precipitation time series anywhere in Switzerland by mapping the parameters of GWEX-MRC, an at-site weather generator K. Maloku et al. https://doi.org/10.1016/j.ejrh.2025.102454
102. 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
103. Areal rainfall estimation using moving cars as rain gauges – a modelling study U. Haberlandt & M. Sester https://doi.org/10.5194/hess-14-1139-2010
104. Geostatistical radar-raingauge combination with nonparametric correlograms: methodological considerations and application in Switzerland R. Schiemann et al. https://doi.org/10.5194/hess-15-1515-2011
105. Quantitative Precipitation Estimation (QPE) Rainfall from Meteorology Radar over Chi Basin N. Areerachakul et al. https://doi.org/10.3390/hydrology9100178
106. Analysis of the 1 November 2015 heavy rainfall episode in Algarve by using weather radar and rain gauge data S. Barbosa et al. https://doi.org/10.1007/s11069-017-3065-2
107. EURADCLIM: the European climatological high-resolution gauge-adjusted radar precipitation dataset A. Overeem et al. https://doi.org/10.5194/essd-15-1441-2023
108. Improving radar rainfall estimation by merging point rainfall measurements within a model combination framework M. Hasan et al. https://doi.org/10.1016/j.advwatres.2016.09.011
109. From means to extremes: Evaluating high-resolution gridded data for rainfall erosivity estimation in Austria C. Vásquez et al. https://doi.org/10.1016/j.ejrh.2026.103270
110. Mapping mean total annual precipitation in Belgium, by investigating the scale of topographic control at the regional scale J. Meersmans et al. https://doi.org/10.1016/j.jhydrol.2016.06.013
111. Weather radar rainfall data in urban hydrology S. Thorndahl et al. https://doi.org/10.5194/hess-21-1359-2017
112. CondMerg: an open source implementation in R language of conditional merging for weather radars and rain gauges observations D. Guenzi et al. https://doi.org/10.1007/s12145-016-0278-y
113. A Rainfall Data Intercomparison Dataset of RADKLIM, RADOLAN, and Rain Gauge Data for Germany J. Kreklow et al. https://doi.org/10.3390/data4030118
114. An Algorithm of Spatial Composition of Hourly Rainfall Fields for Improved High Rainfall Value Estimation J. Han et al. https://doi.org/10.1007/s12205-020-0526-z
115. The Influence of Rain Gauge Network Density on the Performance of a Hydrological Model G. Andiego et al. https://doi.org/10.4236/cweee.2018.81002
116. Quantitative precipitation estimation with weather radar using a data- and information-based approach M. Neuper & U. Ehret https://doi.org/10.5194/hess-23-3711-2019
117. Stochastic Reconstruction and Interpolation of Precipitation Fields Using Combined Information of Commercial Microwave Links and Rain Gauges B. Haese et al. https://doi.org/10.1002/2017WR021015
118. Comparative analysis of interpolation methods for missing daily precipitation data by suggesting an alternative inverse distance weighted model K. Başkesen et al. https://doi.org/10.1007/s00704-025-05907-z
119. The role of precipitation size distributions in km‐scale NWP simulations of intense precipitation: evaluation of cloud properties and surface precipitation K. Van Weverberg et al. https://doi.org/10.1002/qj.1933
120. Spatiotemporal Precipitation Estimation from Rain Gauges and Meteorological Radar Using Geostatistics E. Cassiraga et al. https://doi.org/10.1007/s11004-020-09882-1
121. Optimal Rainfall Estimation by Considering Elevation in the Han River Basin, South Korea S. Yoon & D. Bae https://doi.org/10.1175/JAMC-D-11-0147.1
122. Site-Specific Septoria Leaf Blotch Risk Assessment in Winter Wheat Using Weather-Radar Rainfall Estimates A. Mahtour et al. https://doi.org/10.1094/PDIS-07-10-0482
123. Mesoscale and Local Scale Evaluations of Quantitative Precipitation Estimates by Weather Radar Products during a Heavy Rainfall Event B. Pauthier et al. https://doi.org/10.1155/2016/6089319
124. Torrential rainfall in Valencia, Spain, recorded by personal weather stations preceding and during the 29 October 2024 floods N. Rombeek et al. https://doi.org/10.5194/hess-29-6715-2025
125. Hydrological appraisal of operational weather radar rainfall estimates in the context of different modelling structures D. Zhu et al. https://doi.org/10.5194/hess-18-257-2014
126. Combined Radar Quality Index for Quantitative Precipitation Estimation of Heavy Rainfall Events Y. Zhang et al. https://doi.org/10.3390/rs14133154
127. Hydrological evaluation of radar and satellite gauge-merged precipitation datasets using the SWAT model: Case of the Terauchi catchment in Japan S. Mtibaa & S. Asano https://doi.org/10.1016/j.ejrh.2022.101134
128. Evaluation of Radar-Gauge Merging Techniques to Be Used in Operational Flood Forecasting in Urban Watersheds D. Wijayarathne et al. https://doi.org/10.3390/w12051494
129. Enhancing radar estimates of precipitation over complex terrain using information derived from an orographic precipitation model P. Crochet https://doi.org/10.1016/j.jhydrol.2009.08.038
130. Can we reliably estimate precipitation with high resolution during disastrously large floods? J. Szturc et al. https://doi.org/10.5194/hess-29-5405-2025
131. A flexible and efficient spatial interpolator for radar rainfall estimation R. Waken et al. https://doi.org/10.1080/02664763.2017.1317723
132. Prediction of Rain Occurrence and Accumulation Using Multifrequency Radiometric Observations A. Maitra & R. Chakraborty https://doi.org/10.1109/TGRS.2017.2783848
133. The legacy of STAHY: milestones, achievements, challenges, and open problems in statistical hydrology E. Volpi et al. https://doi.org/10.1080/02626667.2024.2385686
134. Performance Assessment of Spatial Interpolation of Precipitation for Hydrological Process Simulation in the Three Gorges Basin M. Cheng et al. https://doi.org/10.3390/w9110838
135. Probabilistic online runoff forecasting for urban catchments using inputs from rain gauges as well as statically and dynamically adjusted weather radar R. Löwe et al. https://doi.org/10.1016/j.jhydrol.2014.03.027
136. StageIV-IRC: a high-resolution dataset of extreme orographic Quantitative Precipitation Estimates (QPE) constrained to water budget closure for historical floods in the Appalachian Mountains M. Liao & A. Barros https://doi.org/10.5194/essd-18-2047-2026
137. Radar–Rain Gauge Merging for High-Spatiotemporal-Resolution Rainfall Estimation Using Radial Basis Function Interpolation S. Ryu et al. https://doi.org/10.3390/rs17030530
138. Evaluation of gridded precipitation datasets over Madagascar H. Randriatsara et al. https://doi.org/10.1002/joc.7628
139. Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation B. Kim et al. https://doi.org/10.1016/j.jhydrol.2016.10.052
140. Mapping coastal green infrastructure along the Pondicherry coast using remote sensing data and machine learning algorithm T. Mayamanikandan et al. https://doi.org/10.1007/s12040-024-02432-x
141. A climatological benchmark for operational radar rainfall bias reduction R. Imhoff et al. https://doi.org/10.5194/hess-25-4061-2021
142. Spatial interpolation of rain-field dynamic time-space evolution based on radar rainfall data P. Liu & Y. Tung https://doi.org/10.2166/nh.2020.115
143. Merging multisatellite precipitation products using stacking method and the censored-shifted gamma ensemble model output statistics in china's Beimiaoji basin T. Zhang et al. https://doi.org/10.1016/j.jhydrol.2023.129263
144. A Deep Learning Multimodal Method for Precipitation Estimation A. Moraux et al. https://doi.org/10.3390/rs13163278
145. Evaluating the performance of SURFEXv5 as a new land surface scheme for the ALADINcy36 and ALARO-0 models R. Hamdi et al. https://doi.org/10.5194/gmd-7-23-2014
146. QRF4P‐NRT: Probabilistic Post‐Processing of Near‐Real‐Time Satellite Precipitation Estimates Using Quantile Regression Forests Y. Zhang et al. https://doi.org/10.1029/2022WR032117
147. Evaluating precipitation corrections to enhance high-alpine hydrological modeling T. Pulka et al. https://doi.org/10.1016/j.jhydrol.2024.132202
148. Comparison of different radar-raingauge rainfall merging techniques N. Nanding et al. https://doi.org/10.2166/hydro.2015.001
149. Spatio-temporal variability of remotely sensed precipitation data from COMS and TRMM: Case study of Korean peninsula in East Asia J. Baik & M. Choi https://doi.org/10.1016/j.asr.2015.06.015
150. Evaluation of the Radar QPE and Rain Gauge Data Merging Methods in Northern China Q. Qiu et al. https://doi.org/10.3390/rs12030363
151. Validation of Precipitation Events in ERA5 to Gauge Observations during Warm Seasons over Eastern China G. Wu et al. https://doi.org/10.1175/JHM-D-21-0195.1
152. Merging radar and gauge information within a dynamical model combination framework for precipitation estimation in cold climates K. Sivasubramaniam et al. https://doi.org/10.1016/j.envsoft.2019.05.013
153. Comparison of spatial interpolation methods for the estimation of precipitation patterns at different time scales to improve the accuracy of discharge simulations D. Liu et al. https://doi.org/10.2166/nh.2020.146
154. Sensitivity of quantitative precipitation forecast to soil moisture initialization and microphysics parametrization K. Van Weverberg et al. https://doi.org/10.1002/qj.611
155. Towards a historical precipitation database for West Africa: Overview, quality control and harmonization J. Bliefernicht et al. https://doi.org/10.1002/joc.7467
156. The Influence of Rain Gauge Network Density on the Performance of a Hydrological Model G. Andiego et al. https://doi.org/10.4236/cweee.2018.71002
157. Rain Behaviour at Mt. Merapi Area as Observed by XMPR and ARR R. Hambali et al. https://doi.org/10.4028/www.scientific.net/AMM.881.34
158. Applicability of Spatial Interpolation Methods for the Estimation of Rainfall Field H. Jang et al. https://doi.org/10.17663/JWR.2015.17.4.370
159. A new method to improve precipitation estimates by blending multiple satellite/reanalysis-based precipitation products and considering observations and terrestrial water budget balance Z. Luo et al. https://doi.org/10.1016/j.jhydrol.2024.131188
160. Creation of a high resolution precipitation data set by merging gridded gauge data and radar observations for Sweden P. Berg et al. https://doi.org/10.1016/j.jhydrol.2015.11.031
161. Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging Q. Hu et al. https://doi.org/10.3390/w11030579
162. Probabilistic radar-gauge merging by multivariate spatiotemporal techniques S. Pulkkinen et al. https://doi.org/10.1016/j.jhydrol.2016.09.036
163. Satellite-Based Rainfall Retrieval: From Generalized Linear Models to Artificial Neural Networks L. Beusch et al. https://doi.org/10.3390/rs10060939
164. Spatial composition of AMSR2 soil moisture products by conditional merging technique with ground soil moisture data D. Kim et al. https://doi.org/10.1007/s00477-016-1300-0
165. Quality control of the composite radar quantitative precipitation estimation product for Great Britain X. Qiu et al. https://doi.org/10.1016/j.jhydrol.2025.134755
166. Classification of Localized Heavy Rainfall Events in South Korea E. Jo et al. https://doi.org/10.1007/s13143-019-00128-7
167. Determination of flood-inducing rainfall and runoff for highly urbanized area based on high-resolution radar-gauge composite rainfall data and flooded area GIS data D. Dao et al. https://doi.org/10.1016/j.jhydrol.2020.124704
168. Hydrological appraisal of rainfall estimates from radar, satellite, raingauge and satellite–gauge combination on the Qinhuai River Basin, China M. Abro et al. https://doi.org/10.1080/02626667.2018.1557335
169. Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates A. Overeem et al. https://doi.org/10.5194/hess-28-649-2024
170. GLUE based marine X-band weather radar data calibration and uncertainty estimation J. Nielsen et al. https://doi.org/10.1080/1573062X.2013.871044
171. Assessment of GPM and SM2RAIN-ASCAT rainfall products over complex terrain in southern Italy F. Chiaravalloti et al. https://doi.org/10.1016/j.atmosres.2018.02.019
172. Spatial interpolation of hourly rainfall – effect of additional information, variogram inference and storm properties A. Verworn & U. Haberlandt https://doi.org/10.5194/hess-15-569-2011
173. NWP-Based Adjustment of IMERG Precipitation for Flood-Inducing Complex Terrain Storms: Evaluation over CONUS X. Zhang et al. https://doi.org/10.3390/rs10040642
174. Exploring the potential of simple rainfall-runoff models for estimating urban stormwater runoff with rain gauge and weather radar rainfall J. Nielsen et al. https://doi.org/10.2166/wst.2025.101
175. Verification of short-term runoff forecasts for a small Philippine basin (Marikina) D. Kneis et al. https://doi.org/10.1080/02626667.2016.1183773
176. Downscaling satellite‐derived daily precipitation products with an integrated framework F. Chen et al. https://doi.org/10.1002/joc.5879
177. Quality-Based Combination of Multi-Source Precipitation Data A. Jurczyk et al. https://doi.org/10.3390/rs12111709
178. From months to minutes – exploring the value of high‐resolution rainfall observation and prediction during the UK winter storms of 2013/2014 H. Lewis et al. https://doi.org/10.1002/met.1493
179. Flash flood dynamics in arid areas at the Sub-Basin Scale: The Ze’elim Basin, Israel A. Kallush et al. https://doi.org/10.1016/j.jhydrol.2025.134581
180. Evaluation of the value of radar QPE data and rain gauge data for hydrological modeling X. He et al. https://doi.org/10.1002/wrcr.20471
181. REAL-TIME RADAR QUANTITATIVE PRECIPITATION ESTIMATION USING MULTIVARIATE PROJECTION MODEL H. MAWANDHA & S. OISHI https://doi.org/10.2208/jscejhe.74.5_I_235
182. Estimation of extreme precipitation events in Estonia and Italy using dual-polarization weather radar quantitative precipitation estimations R. Cremonini et al. https://doi.org/10.5194/amt-16-2943-2023
183. Assessment of Sentinel-1 C-band SAR snow depth assimilation in operational hydrological modeling of high-alpine catchments T. Pulka-Petzolt et al. https://doi.org/10.1016/j.jhydrol.2026.135888
184. Deep Learning for Precipitation Estimation from Satellite and Rain Gauges Measurements A. Moraux et al. https://doi.org/10.3390/rs11212463
185. Generating spatial precipitation ensembles: impact of temporal correlation structure O. Rakovec et al. https://doi.org/10.5194/hess-16-3419-2012
186. Utilization of Weather Radar Data for the Flash Flood Indicator Application in the Czech Republic P. Novák et al. https://doi.org/10.3390/rs13163184
187. Radar polygon method: an areal rainfall estimation based on radar rainfall imageries W. Cho et al. https://doi.org/10.1007/s00477-016-1348-x
188. Improving Multisensor Precipitation Estimation via Adaptive Conditional Bias–Penalized Merging of Rain Gauge Data and Remotely Sensed Quantitative Precipitation Estimates A. Jozaghi et al. https://doi.org/10.1175/JHM-D-19-0129.1
189. Influence of Rain Gauge Density and Temporal Resolution on the Performance of Conditional Merging Method D. Dao et al. https://doi.org/10.9798/KOSHAM.2019.19.6.41
190. Merging Radar Rainfalls of Single and Dual-polarization Radar to Improve the Accuracy of Quantitative Precipitation Estimation J. Lee et al. https://doi.org/10.14191/Atmos.2014.24.3.365
191. Impact of rainfall intensity, monsoon and MJO to rainfall merging in the Indonesian maritime continent . Giarno et al. https://doi.org/10.1007/s12040-020-01427-8
192. A scheme for verifying the spatial structure of extremes in numerical weather prediction: Exemplified for precipitation B. Sass https://doi.org/10.1002/met.2015
193. High resolution mapping of total deposition of acidifying pollutants T. de Vos & L. Zhang https://doi.org/10.1016/j.atmosenv.2012.04.037
194. Benchmarking quantitative precipitation estimation by conceptual rainfall‐runoff modeling M. Heistermann & D. Kneis https://doi.org/10.1029/2010WR009153
195. Evaluation of Merging Method for CHIRP Satellite Rainfall Estimate Over Wabi Shebelle River Basin, Ethiopia K. Tadesse et al. https://doi.org/10.1007/s12524-022-01584-x
196. The Dutch real-time gauge-adjusted radar precipitation product A. Overeem et al. https://doi.org/10.5194/essd-17-4715-2025
197. Long-term analysis of gauge-adjusted radar rainfall accumulations at European scale S. Park et al. https://doi.org/10.1016/j.jhydrol.2019.03.093
198. Improved Gridded Precipitation Data Derived from Microwave Link Attenuation M. Silver et al. https://doi.org/10.3390/rs13152953
199. Advances in Remote Sensing to Understand Extreme Hydrological Events D. Kim et al. https://doi.org/10.1155/2019/8235037
200. Pattern evaluation of operational radar reflectivity–rainfall relationship for Quitandinha River flooding events: Petrópolis, Rio de Janeiro (Brazil) F. da Silva et al. https://doi.org/10.1007/s12665-020-09273-z
201. Quality Index-Driven Radar Mosaicking and Machine Learning for Enhanced Rainfall Estimation in the Chao Phraya River Basin and Its Tributaries in Thailand N. Mahavik et al. https://doi.org/10.1007/s41976-025-00207-6
202. Evaluation and comparison of interpolated gauge rainfall data and gridded rainfall data in Florida, USA M. Zhang et al. https://doi.org/10.1080/02626667.2018.1444767
203. Merging radar and in situ rainfall measurements: An assessment of different combination algorithms M. Hasan et al. https://doi.org/10.1002/2015WR018441
204. Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model J. Li et al. https://doi.org/10.5194/hess-23-1505-2019
205. Application of Remote Sensing Data to Constrain Operational Rainfall-Driven Flood Forecasting: A Review Y. Li et al. https://doi.org/10.3390/rs8060456
206. Merging multi-source precipitation products or merging their simulated hydrological flows to improve streamflow simulation Q. Zhu et al. https://doi.org/10.1080/02626667.2019.1612522
207. A Two-Stage Machine Learning Framework for High-Resolution Multi-Source Precipitation Fusion in Complex Terrain: A Case Study of Shaoxing, China H. Wang et al. https://doi.org/10.3390/atmos17080762
208. Improving the precipitation accumulation analysis using lightning measurements and different integration periods E. Gregow et al. https://doi.org/10.5194/hess-21-267-2017
209. Geomorphic effects caused by heavy rainfall in the Corigliano-Rossano area (NE Calabria, Italy) on 12 August 2015 V. Rago et al. https://doi.org/10.1080/17445647.2020.1867248
210. Determination of the Z-R Relationship through Spatial Analysis of X-Band Weather Radar and Rain Gauge Data A. Bournas & E. Baltas https://doi.org/10.3390/hydrology9080137
211. Fast Bayesian Regression Kriging Method for Real‐Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data P. Yang & T. Ng https://doi.org/10.1029/2018WR023857
212. Merging weather radar and rain gauges for dryland agriculture P. Weir et al. https://doi.org/10.1071/ES23023
213. Improving quantitative precipitation estimates by radar-rain gauge merging and an integration algorithm in the Yishu River catchment, China Y. Shao et al. https://doi.org/10.1007/s00704-021-03526-y
214. 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 https://doi.org/10.3390/atmos9120496
215. An objective approach for comparing radar estimated and rain gauge measured precipitation C. Craciun & O. Catrina https://doi.org/10.1002/met.1591
216. Assimilation of radar quantitative precipitation estimations in the Canadian Precipitation Analysis (CaPA) V. Fortin et al. https://doi.org/10.1016/j.jhydrol.2015.08.003
217. Evaluation of Integrated Nowcasting through Comprehensive Analysis (INCA) precipitation analysis using a dense rain-gauge network in southeastern Austria E. Ghaemi et al. https://doi.org/10.5194/hess-25-4335-2021
218. Radar–rain-gauge rainfall estimation for hydrological applications in small catchments S. Gabriele et al. https://doi.org/10.5194/adgeo-44-61-2017
219. Developing a radar-rain gauge hourly blended precipitation dataset for Great Britain using the Gauss Blending Method X. Qiu et al. https://doi.org/10.1016/j.jhydrol.2026.134954
220. Integrating Ground-based Observations and Radar Data Into Gridding Sub-daily Precipitation A. Dumitrescu et al. https://doi.org/10.1007/s11269-020-02622-4
221. The Quantile-Matching Approach to Improving Radar Quantitative Precipitation Estimation in South China L. Song et al. https://doi.org/10.3390/rs13234956
222. Radar Vertical Profile of Reflectivity Correction with TRMM Observations Using a Neural Network Approach Y. Wang et al. https://doi.org/10.1175/JHM-D-14-0136.1
223. Brief communication: How extreme was the thunderstorm rain in Vienna on 17 August 2024? A temporal and spatial analysis V. Klaus et al. https://doi.org/10.5194/nhess-25-4807-2025
224. A method to adapt radar-derived precipitation fields for climatological applications R. Kronenberg & C. Bernhofer https://doi.org/10.1002/met.1498
225. Verification of 24-h Quantitative Precipitation Forecasts over the Pacific Northwest from a High-Resolution Ensemble Kalman Filter System P. Cookson-Hills et al. https://doi.org/10.1175/WAF-D-16-0180.1
226. Statistical assessment and hydrological utility of the latest multi-satellite precipitation analysis IMERG in Ganjiang River basin N. Li et al. https://doi.org/10.1016/j.atmosres.2016.07.020
227. Quantitative Precipitation Estimation Integrated by Poisson’s Equation Using Radar Mosaic, Satellite, and Rain Gauge Network L. Calvetti et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001432
228. Sampling design optimisation for rainfall prediction using a non-stationary geostatistical model A. Wadoux et al. https://doi.org/10.1016/j.advwatres.2017.06.005
229. Uncertainty assessment of radar-raingauge merged rainfall estimates in river discharge simulations N. Nanding et al. https://doi.org/10.1016/j.jhydrol.2021.127093
230. Singularity-sensitive gauge-based radar rainfall adjustment methods for urban hydrological applications L. Wang et al. https://doi.org/10.5194/hess-19-4001-2015
231. Comparing the performances of WRF QPF and PERSIANN-CCS QPEs in karst flood simulation and forecasting by coupling the Karst-Liuxihe model J. Li et al. https://doi.org/10.1007/s11707-021-0909-6
232. Bias adjustment and advection interpolation of long-term high resolution radar rainfall series S. Thorndahl et al. https://doi.org/10.1016/j.jhydrol.2013.10.056
233. A high-resolution rainfall re-analysis based on radar–raingauge merging in the Cévennes-Vivarais region, France B. Boudevillain et al. https://doi.org/10.1016/j.jhydrol.2016.03.058
234. Spatiotemporal trends in temperature and precipitation for Prince Edward Island over 1971–2020 R. Nawaz et al. https://doi.org/10.1139/cjce-2023-0186
235. Time-independent bias correction methods compared with gauge adjustment methods in improving radar-based precipitation estimates K. Yousefi et al. https://doi.org/10.1080/02626667.2023.2248108