166 citations as recorded by crossref.

1. A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints C. Agonafir et al. https://doi.org/10.1016/j.compenvurbsys.2022.101854
2. Ocena przydatności disdrometru laserowego i radaru meteorologicznego do szacowania wielkości opadów deszczu = Assessment of the suitability of the laser disdrometer and meteorological radar for rainfall estimation M. Barszcz https://doi.org/10.7163/PrzG.2022.4.3
3. Application of weather Radar for operational hydrology in Canada – a review D. Wijayarathne & P. Coulibaly https://doi.org/10.1080/07011784.2020.1854119
4. Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data E. Mihuleţ et al. https://doi.org/10.3390/atmos14010182
5. Urban hydrological model (UHM) developed for an urban flash flood simulation and analysis of the flood intensity sensitivity to urbanization H. Hu et al. https://doi.org/10.1080/19475705.2024.2302561
6. Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts M. Poletti et al. https://doi.org/10.5194/hess-23-3823-2019
7. Assessing precipitation from a dual-polarisation X-band radar campaign using the Grid-to-Grid hydrological model J. Wallbank et al. https://doi.org/10.1016/j.jhydrol.2022.128311
8. Have you ever seen the rain? Observing a record convective rainfall with national and local monitoring networks and opportunistic sensors L. Petersson Wårdh et al. https://doi.org/10.5194/amt-19-461-2026
9. GSDR: A Global Sub-Daily Rainfall Dataset E. Lewis et al. https://doi.org/10.1175/JCLI-D-18-0143.1
10. Weather radar nowcasting of rainfall using optical flow with Recurrent All-Pairs Field Transforms (RAFT) J. Nielsen et al. https://doi.org/10.1016/j.atmosres.2026.109007
11. CON-SST-RAIN: Continuous Stochastic Space–Time Rainfall generation based on Markov chains and transposition of weather radar data C. Andersen et al. https://doi.org/10.1016/j.jhydrol.2024.131385
12. Nowcasting of Precipitation in the High-Resolution Dallas–Fort Worth (DFW) Urban Radar Remote Sensing Network S. Pulkkinen et al. https://doi.org/10.1109/JSTARS.2018.2840491
13. Cumulative Rainfall Radar Recalibration with Rain Gauge Data Using the Colour Pattern Regression Algorithm QGIS Plugin P. Blanco-Gómez et al. https://doi.org/10.3390/rs16183496
14. Structured exploration of machine learning model complexity for spatio-temporal forecasting of urban flooding C. Agonafir & T. Zheng https://doi.org/10.1080/1573062X.2025.2589078
15. Precipitation Estimation Methods in Continuous, Distributed Urban Hydrologic Modeling D. Woodson et al. https://doi.org/10.3390/w11071340
16. The complexities of urban flood response: Flood frequency analyses for the Charlotte metropolitan region Z. Zhou et al. https://doi.org/10.1002/2016WR019997
17. Facilitating radar precipitation data processing, assessment and analysis: a GIS-compatible python approach J. Kreklow https://doi.org/10.2166/hydro.2019.048
18. Z–R Relationships for Different Precipitation Types and Events from Parsivel Disdrometer Data in Warsaw, Poland M. Barszcz & E. Kaznowska https://doi.org/10.3390/rs17132271
19. Streamflow Predictions in a Small Urban–Rural Watershed: The Effects of Radar Rainfall Resolution and Urban Rainfall–Runoff Dynamics L. Grimley et al. https://doi.org/10.3390/atmos11080774
20. X-band polarimetric radar QPE for urban hydrology: The increased contribution of high-resolution rainfall capturing X. Cao et al. https://doi.org/10.1016/j.jhydrol.2022.128905
21. Can stormwater runoff measurements be used for weather radar rainfall adjustment? J. Nielsen et al. https://doi.org/10.2166/hydro.2024.172
22. Application of Radar-Based Precipitation Data Improves the Effectiveness of Urban Inundation Forecasting D. Tri et al. https://doi.org/10.3390/su16093736
23. Critical scales to explain urban hydrological response: an application in Cranbrook, London E. Cristiano et al. https://doi.org/10.5194/hess-22-2425-2018
24. Radar-Based Precipitation Climatology in Germany—Developments, Uncertainties and Potentials J. Kreklow et al. https://doi.org/10.3390/atmos11020217
25. Application of Artificial Intelligence in Hydrological Modeling for Streamflow Prediction in Ungauged Watersheds: A Review J. Gacu et al. https://doi.org/10.3390/w17182722
26. Efficient precipitation downscaling over the Southern Tibetan Plateau with deep learning surrogates D. Li et al. https://doi.org/10.1016/j.atmosres.2026.109079
27. Ensemble rainfall–runoff modeling of physically based semi-distributed models using multi-source rainfall data fusion T. Gichamo et al. https://doi.org/10.2166/wcc.2023.084
28. The Role of the Spatial Distribution of Radar Rainfall on Hydrological Modeling for an Urbanized River Basin in Japan S. P. C. et al. https://doi.org/10.3390/w11081703
29. An efficient physics-based modeling strategy for pluvial floods in urban areas with a subgrid scheme for the stormwater drainage network T. Lazzarin et al. https://doi.org/10.1016/j.jhydrol.2025.133617
30. Projections of soil loss by water erosion in Europe by 2050 P. Panagos et al. https://doi.org/10.1016/j.envsci.2021.07.012
31. Advances in the monitoring and forecasting of urban extreme meteorological events: a bibliometric review R. Samanta et al. https://doi.org/10.1007/s11069-025-07933-6
32. Return period assessment of urban pluvial floods through modelling of rainfall–flood response D. Tuyls et al. https://doi.org/10.2166/hydro.2018.133
33. Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management N. Lund et al. https://doi.org/10.1080/10643389.2018.1455484
34. A framework for incorporating rainfall data into a flooding digital twin A. Green et al. https://doi.org/10.1016/j.jhydrol.2025.132893
35. Rainfall Organization and Storm Tracking in Urban Barcelona, NE Spain, Using a High-Resolution Rain Gauge Network M. Casas-Castillo et al. https://doi.org/10.3390/hydrology12070178
36. Critical rainfall thresholds for urban pluvial flooding inferred from citizen observations X. Tian et al. https://doi.org/10.1016/j.scitotenv.2019.06.355
37. Uncertainties in discharge predictions based on microwave link rainfall estimates in a small urban catchment J. Pastorek et al. https://doi.org/10.1016/j.jhydrol.2022.129051
38. Changing Pattern of Water Level Trends in Eurasian Endorheic Lakes as a Response to the Recent Climate Variability X. Zhang et al. https://doi.org/10.3390/rs13183705
39. Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. https://doi.org/10.1029/2018RG000616
40. Fully Spectral Method for Radar-Based Precipitation Nowcasting S. Pulkkinen et al. https://doi.org/10.1109/JSTARS.2019.2908974
41. The Quality Control and Rain Rate Estimation for the X-Band Dual-Polarization Radar: A Study of Propagation of Uncertainty G. Wen et al. https://doi.org/10.3390/rs12071072
42. Weather radar in Nepal: opportunities and challenges in a mountainous region R. Talchabhadel et al. https://doi.org/10.1002/wea.3994
43. Estimation of Storm-Centred Areal Reduction Factors from Radar Rainfall for Design in Urban Hydrology S. Thorndahl et al. https://doi.org/10.3390/w11061120
44. Evaluation of Radar Precipitation Products and Assessment of the Gauge-Radar Merging Methods in Southeast Texas for Extreme Precipitation Events W. Li et al. https://doi.org/10.3390/rs15082033
45. Application of optical flow technique to short-term rainfall forecast for some synoptic patterns in Vietnam N. Thu et al. https://doi.org/10.1007/s00704-024-05277-y
46. An Overview of Using Weather Radar for Climatological Studies: Successes, Challenges, and Potential E. Saltikoff et al. https://doi.org/10.1175/BAMS-D-18-0166.1
47. The role of storm scale, position and movement in controlling urban flood response M. ten Veldhuis et al. https://doi.org/10.5194/hess-22-417-2018
48. Interpolation Strategy Selection for Areal Rainfall Estimation in an Extremely Sparse-Gauge Small Catchment: An Event-Scale Comparison Using Gauge and Radar References Y. Ma et al. https://doi.org/10.3390/hydrology13090245
49. Radar Data Analyses for a Single Rainfall Event and Their Application for Flow Simulation in an Urban Catchment Using the SWMM Model M. Barszcz https://doi.org/10.3390/w10081007
50. Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes H. Lyu et al. https://doi.org/10.3390/w10070880
51. Computer vision in flash flood forecasting: A narrative review of applications, integration pathways, and future directions H. Adikari et al. https://doi.org/10.1016/j.envsoft.2026.106910
52. On the potential of commercial microwave link networks for high spatial resolution rainfall monitoring in urban areas X. Zheng et al. https://doi.org/10.1016/j.atmosres.2022.106289
53. A Comparative Evaluation of Using Rain Gauge and NEXRAD Radar-Estimated Rainfall Data for Simulating Streamflow S. Ahmed et al. https://doi.org/10.3390/hydrology9080133
54. Differences in representation of extreme precipitation events in two high resolution models E. Thomassen et al. https://doi.org/10.1007/s00382-021-05854-1
55. 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
56. Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0) S. Pulkkinen et al. https://doi.org/10.5194/gmd-12-4185-2019
57. Vision-based rainfall estimation with early fusion and multi-scale temporal modeling J. Feng et al. https://doi.org/10.1016/j.asr.2026.07.130
58. 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
59. Dealing with non-stationarity in sub-daily stochastic rainfall models L. Benoit et al. https://doi.org/10.5194/hess-22-5919-2018
60. Event-based stochastic point rainfall resampling for statistical replication and climate projection of historical rainfall series S. Thorndahl et al. https://doi.org/10.5194/hess-21-4433-2017
61. Considering Rain Gauge Uncertainty Using Kriging for Uncertain Data F. Cecinati et al. https://doi.org/10.3390/atmos9110446
62. Optimizing the Activation of WWTP Wet-Weather Operation Using Radar-Based Flow and Volume Forecasting with the Relative Economic Value (REV) Approach V. Courdent et al. https://doi.org/10.3390/w16192806
63. Value of Spatially Distributed Rainfall Design Events—Creating Basin-Scale Stochastic Design Storm Ensembles V. Lindgren et al. https://doi.org/10.3390/w15173066
64. Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments B. Szeląg et al. https://doi.org/10.3390/w14131997
65. Comparison of satellite-based and reanalysis precipitation products for hydrological modeling over a data-scarce region A. Jahanshahi et al. https://doi.org/10.1007/s00382-023-07078-x
66. Evaluation of Radar Quantitative Precipitation Estimates (QPEs) as an Input of Hydrological Models for Hydrometeorological Applications D. Wijayarathne et al. https://doi.org/10.1175/JHM-D-20-0033.1
67. Limits of Predictability of a Global Self-Similar Routing Model in a Local Self-Similar Environment N. Velasquez & R. Mantilla https://doi.org/10.3390/atmos11080791
68. The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity E. Cristiano et al. https://doi.org/10.1029/2018WR024143
69. 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
70. Prediction of river temperature surges is dependent on precipitation method D. Croghan et al. https://doi.org/10.1002/hyp.13317
71. Integrated stormwater inflow control for sewers and green structures in urban landscapes N. Lund et al. https://doi.org/10.1038/s41893-019-0392-1
72. Comparison of methods to estimate areal means of short duration rainfalls in small catchments, using rain gauge and radar data S. Hwang et al. https://doi.org/10.1016/j.jhydrol.2020.125084
73. Quantify Urbanization-Induced Precipitation and Runoff Anomalies over the Qinhuai River Basin of China: Sensitivity Experiments with WRF-Hydro J. Wang et al. https://doi.org/10.1007/s13351-024-3225-8
74. A tailored deep learning method to improve spatial rainfall downscaling T. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135272
75. SRS-GDA: A spatial random sampling toolbox for grid-based hydro-climatic data analysis in environmental change studies H. Wang & Y. Xuan https://doi.org/10.1016/j.envsoft.2019.104598
76. A review of video‐based rainfall measurement methods K. Yan et al. https://doi.org/10.1002/wat2.1678
77. Machine learning-enhanced satellite precipitation products: a global review of advances, biases and future directions R. Chin et al. https://doi.org/10.1080/02626667.2026.2718847
78. Rethinking modelling of particulate pollutants in combined sewer overflows (CSOs): A focus on model structure V. Chrysochoidis et al. https://doi.org/10.1016/j.jhydrol.2025.133239
79. Sub-Hourly to Daily Rainfall Intensity-Duration-Frequency Estimation Using Stochastic Storm Transposition and Discontinuous Radar Data C. Andersen et al. https://doi.org/10.3390/w14244013
80. Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach D. Pirone et al. https://doi.org/10.1016/j.jhydrol.2022.128949
81. A Rainfall Data Intercomparison Dataset of RADKLIM, RADOLAN, and Rain Gauge Data for Germany J. Kreklow et al. https://doi.org/10.3390/data4030118
82. Rain gauge networks’ limitations and the implications to hydrological modelling highlighted with a X-band radar I. Paz et al. https://doi.org/10.1016/j.jhydrol.2020.124615
83. A review of recent advances in urban flood research C. Agonafir et al. https://doi.org/10.1016/j.wasec.2023.100141
84. Radar Precipitation Uncertainty and Hydrological Applications: Mapping Topic Structure, Thematic Evolution, and Methodological Lineages Through Bibliometric and Transformer-Based Semantic Analysis X. Zhu et al. https://doi.org/10.3390/rs18213762
85. Learning Safe and Optimal Control Strategies for Storm Water Detention Ponds M. Goorden et al. https://doi.org/10.1016/j.ifacol.2021.08.467
86. Effects of Using High-Density Rain Gauge Networks and Weather Radar Data on Urban Hydrological Analyses S. Yoon & B. Lee https://doi.org/10.3390/w9120931
87. Stochastic Rainfall Modeling at Sub‐kilometer Scale L. Benoit et al. https://doi.org/10.1029/2018WR022817
88. Statistical characterization of rainfall fields based upon a 12-year high-resolution radar archive of Belgium C. Muñoz Lopez et al. https://doi.org/10.1016/j.atmosres.2022.106544
89. MCDA-UNet: A satellite data-based model for radar composite reflectivity retrieval Q. Zeng et al. https://doi.org/10.1016/j.atmosres.2025.108619
90. A Systematic Literature Mining of Sponge City: Trends, Foci and Challenges Standing Ahead Z. Li et al. https://doi.org/10.3390/su10041182
91. Estimating Rainfall Intensity Using an Image-Based Deep Learning Model H. Yin et al. https://doi.org/10.1016/j.eng.2021.11.021
92. Assessing the Impact of Rainfall Inputs on Short-Term Flood Simulation with Cell2Flood: A Case Study of the Waryong Reservoir Basin H. Kim et al. https://doi.org/10.3390/hydrology11100162
93. Merging dual-polarization X-band radar network intelligence for improved microscale observation of summer rainfall in south Sweden S. Hosseini et al. https://doi.org/10.1016/j.jhydrol.2023.129090
94. TU2Net-GAN: A temporal precipitation nowcasting model with multiple decoding modules X. Ling et al. https://doi.org/10.1016/j.patrec.2023.12.025
95. Advancing very short-term rainfall prediction with blended U-Net and partial differential approaches J. Ha & J. Park https://doi.org/10.3389/feart.2023.1301523
96. Data quality and uncertainty issues in flood prediction: a systematic review J. Yu et al. https://doi.org/10.1080/17538947.2025.2495738
97. Design and Implementation of K-Band Electromagnetic Wave Rain Gauge System J. Choi & S. Lim https://doi.org/10.3390/rs16010006
98. SpecAug-DM: Few-Shot Radar Spectrogram Augmentation via Diffusion Model for Human Motion Recognition Y. Lang et al. https://doi.org/10.1109/JSEN.2026.3688477
99. A Real-Time Bright Band Vertical Profile of Reflectivity Correction Using Multitilts of Reflectivity Data Z. Zhu & Y. Qi https://doi.org/10.1109/TGRS.2023.3319836
100. Evaluation of a new X-band weather radar for operational use in south Sweden S. Hosseini et al. https://doi.org/10.2166/wst.2020.066
101. Toward Street‐Level Nowcasting of Flash Floods Impacts Based on HPC Hydrodynamic Modeling at the Watershed Scale and High‐Resolution Weather Radar Data P. Costabile et al. https://doi.org/10.1029/2023WR034599
102. Intercomparison of precipitation frequency estimates derived from high-resolution weather radar and rain gauge measurements in Zealand, Denmark I. Vester et al. https://doi.org/10.1016/j.ejrh.2026.103851
103. Enhanced object-based tracking algorithm for convective rain storms and cells C. Muñoz et al. https://doi.org/10.1016/j.atmosres.2017.10.027
104. SIRE-ST: A Swin Transformer-Based Cascaded Model for Urban Rainfall Estimation in Complex Environments G. Hou et al. https://doi.org/10.1109/ACCESS.2026.3681681
105. CSO Reduction by Integrated Model Predictive Control of Stormwater Inflows: A Simulated Proof of Concept Using Linear Surrogate Models N. Lund et al. https://doi.org/10.1029/2019WR026272
106. 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
107. Very Short-Term Rainfall Prediction Using Ground Radar Observations and Conditional Generative Adversarial Networks Y. Kim & S. Hong https://doi.org/10.1109/TGRS.2021.3108812
108. Comparing spatial metrics of extreme precipitation between data from rain gauges, weather radar and high-resolution climate model re-analyses E. Thomassen et al. https://doi.org/10.1016/j.jhydrol.2022.127915
109. Predicting pluvial flood impacts in data-scarce urban environments: Uncertainty and interplay between rainfall inputs and conceptual drainage loss models P. Costabile et al. https://doi.org/10.1016/j.uclim.2025.102724
110. High spatial–temporal resolution and integrated surface and subsurface precipitation-runoff modelling for a small stormwater catchment T. Hailegeorgis & K. Alfredsen https://doi.org/10.1016/j.jhydrol.2017.12.054
111. An Investigation on Super- and Sub-Terminal Drops in Two Different Rain Categories and Climate Regimes C. Chatterjee et al. https://doi.org/10.3390/rs14112515
112. Zależności Z-R dla różnych typów opadów jako narzędzie do radarowego szacowania wielkości opadów = The Z-R relationships for different types of precipitation as a tool for radar-based precipitation estimation M. Barszcz et al. https://doi.org/10.7163/PrzG.2023.2.2
113. The Sensitivity of Urban Pluvial Flooding to the Temporal Distribution of Rainfall Within Design Storms M. Asher et al. https://doi.org/10.1111/jfr3.70097
114. Towerpy: An open-source toolbox for processing polarimetric weather radar data D. Sanchez-Rivas & M. Rico-Ramirez https://doi.org/10.1016/j.envsoft.2023.105746
115. Evaluation of high-intensity rainfall observations from personal weather stations in the Netherlands N. Rombeek et al. https://doi.org/10.5194/hess-29-4585-2025
116. IUTF Dataset: Enabling Cross-Border Resource for Analysing the Impact of Rainfall on Urban Transportation X. Lin et al. https://doi.org/10.1038/s41597-025-06336-3
117. Stormwater Management: An Integrated Approach to Support Healthy, Livable, and Ecological Cities N. Grigg https://doi.org/10.3390/urbansci8030089
118. The evaluation and downscaling‐calibration of IMERG precipitation products at sub‐daily scales over a metropolitan region Q. Zhuang et al. https://doi.org/10.1111/jfr3.12902
119. A Bayesian deep learning approach for video-based estimation and uncertainty quantification of urban rainfall intensity F. Zheng et al. https://doi.org/10.1016/j.jhydrol.2024.131706
120. A Process-Oriented Method for Tracking Rainstorms with a Time-Series of Raster Datasets C. Xue et al. https://doi.org/10.3390/app9122468
121. A Radar Data-Driven AI Approach for Rainfall Nowcasting: Towards Flood Preparedness in Urban Regions S. Dandekar et al. https://doi.org/10.1007/s12524-025-02143-w
122. Exploring the relationship between mobile positioning data and wastewater flows: evidence from five Swiss catchments N. Neuenhofer et al. https://doi.org/10.2166/wst.2025.119
123. Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review E. Cristiano et al. https://doi.org/10.5194/hess-21-3859-2017
124. Adequacy of Satellite-derived Precipitation Estimate for Hydrological Modeling in Vietnam Basins M. Le et al. https://doi.org/10.1016/j.jhydrol.2020.124820
125. A Reduced-Space Ensemble Kalman Filter Approach for Flow-Dependent Integration of Radar Extrapolation Nowcasts and NWP Precipitation Ensembles D. Nerini et al. https://doi.org/10.1175/MWR-D-18-0258.1
126. Rainfall nowcasting model for early warning systems applied to a case over Central Italy D. De Luca & G. Capparelli https://doi.org/10.1007/s11069-021-05191-w
127. Runoff prediction using rainfall data from microwave links: Tabor case study D. Stransky et al. https://doi.org/10.2166/wst.2018.149
128. Analysis of rainfall time structures on a scale of hours M. Müller et al. https://doi.org/10.1016/j.atmosres.2018.04.015
129. One, No One, and One Hundred Thousand: The Paradigm of the Z–R Relationship M. Ignaccolo & C. De Michele https://doi.org/10.1175/JHM-D-19-0177.1
130. A critical review of real-time modelling of flood forecasting in urban drainage systems F. Piadeh et al. https://doi.org/10.1016/j.jhydrol.2022.127476
131. Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. https://doi.org/10.1029/2020GL089365
132. Assessment of the Urban Extreme Precipitation by Satellite Estimates over Mainland China Y. Li et al. https://doi.org/10.3390/rs15071805
133. A Machine Learning System for Precipitation Estimation Using Satellite and Ground Radar Network Observations H. Chen et al. https://doi.org/10.1109/TGRS.2019.2942280
134. Weather Radar Super-Resolution Reconstruction Based on Residual Attention Back-Projection Network Q. Yu et al. https://doi.org/10.3390/rs15081999
135. Evaluation of Multi-Satellite Precipitation Products for Streamflow Simulations: A Case Study for the Han River Basin in the Korean Peninsula, East Asia T. Vu et al. https://doi.org/10.3390/w10050642
136. Future copper loads into the European aquatic environment S. Comber & S. Baken https://doi.org/10.1093/inteam/vjaf050
137. Nowcasting of Convective Rainfall Using Volumetric Radar Observations S. Pulkkinen et al. https://doi.org/10.1109/TGRS.2020.2984594
138. A climatological benchmark for operational radar rainfall bias reduction R. Imhoff et al. https://doi.org/10.5194/hess-25-4061-2021
139. A Physics-Constrained Deep Learning Framework With GAN-Based Data Augmentation for FY-3G MWRI-RM Precipitation Retrieval Y. He et al. https://doi.org/10.1109/TGRS.2026.3719649
140. 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
141. Visualization of radar-observed rainfall for hydrological risk assessment J. Olsson et al. https://doi.org/10.5194/asr-18-59-2021
142. Calibration of Spatial Rain Scanner using Rainfall Depth of Rain Gauges T. Sinatra et al. https://doi.org/10.1088/1755-1315/893/1/012064
143. 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
144. Reanalysis of multi-year high-resolution X-band weather radar observations in Hamburg F. Burgemeister et al. https://doi.org/10.5194/essd-16-2317-2024
145. Riverine Flood Mapping Methods and Criteria: A Meta-Analysis Review and Synthesized Guidelines R. El Moumen et al. https://doi.org/10.1016/j.nhres.2026.03.004
146. Analysis of Weather Radar Datasets through the Implementation of a Gridded Rainfall-Runoff Model A. Bournas & E. Baltas https://doi.org/10.1007/s40710-023-00621-2
147. Recent Advances in Real-Time Pluvial Flash Flood Forecasting A. Zanchetta & P. Coulibaly https://doi.org/10.3390/w12020570
148. Briefing: The rain to drain approach of sustainable drainage systems (SuDS) design and monitoring W. Osborne & S. McLelland https://doi.org/10.1680/jcien.25.00023
149. Urban flooding is intensified by outdated design guidelines and a lack of a systems approach V. Ivanov et al. https://doi.org/10.1038/s44284-024-00128-3
150. RNDiff: Rainfall nowcasting with Condition Diffusion Model X. Ling et al. https://doi.org/10.1016/j.patcog.2024.111193
151. Optical flow models as an open benchmark for radar-based precipitation nowcasting (rainymotion v0.1) G. Ayzel et al. https://doi.org/10.5194/gmd-12-1387-2019
152. Scenario-Based Diagnosis of Urban Flood-System Responses with FLOOD-ST: A TELEMAC-2D Case Study J. Reinert et al. https://doi.org/10.3390/w18202604
153. Tropical cyclone tracking from geostationary infrared satellite images using deep learning techniques C. Zhang et al. https://doi.org/10.1080/01431161.2024.2388876
154. A Real-Time Radar QPE Error Correction for Convective Precipitation Using Long-Term TRMM-PR and GPM-DPR Observations Z. Zhu et al. https://doi.org/10.1109/TGRS.2024.3446830
155. Uncertainty Quantification of Water Level Predictions from Radar‐based Areal Rainfall Using an Adaptive MCMC Algorithm D. Nguyen et al. https://doi.org/10.1007/s11269-021-02835-1
156. Improved input to distributed hydrologic model in areas with sparse subdaily rainfall data using multivariate daily rainfall disaggregation M. Ivković et al. https://doi.org/10.2166/hydro.2018.053
157. A framework for space–time modelling of rainfall events for hydrological applications of weather radar A. Green et al. https://doi.org/10.1016/j.jhydrol.2024.130630
158. Assessing rainfall radar errors with an inverse stochastic modelling framework A. Green et al. https://doi.org/10.5194/hess-28-4539-2024
159. 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
160. Assessment of satellite-based rainfall products for drought monitoring in the Siak Watershed, Indonesia . Mashuri et al. https://doi.org/10.1016/j.envc.2025.101134
161. Radar and Rain Gauge Data Fusion Based on Disaggregation of Radar Imagery L. Benoit https://doi.org/10.1029/2020WR027899
162. An improved CNN-BiLSTM video-based rainfall intensity estimation method based on attention mechanisms and residual connection variants K. Yan et al. https://doi.org/10.2166/hydro.2026.252
163. Radar System . Prof. Sugre D. D. et al. https://doi.org/10.48175/IJARSCT-24622
164. Physics-Guided Adaptive Regime Learning for Nationwide X-Band Dual-Polarization Radar Attenuation Correction L. Wu et al. https://doi.org/10.1109/TGRS.2026.3704604
165. Sub-daily rainfall extremes in the Nordic–Baltic region J. Olsson et al. https://doi.org/10.2166/nh.2022.119
166. 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