126 citations as recorded by crossref.

1. Physical‐Dynamic‐Driven AI‐Synthetic Precipitation Nowcasting Using Task‐Segmented Generative Model R. Wang et al. 10.1029/2023GL106084
2. Performance Comparison between Deep Learning and Optical Flow-Based Techniques for Nowcast Precipitation from Radar Images M. Marrocu & L. Massidda 10.3390/forecast2020011
3. spateGAN: Spatio‐Temporal Downscaling of Rainfall Fields Using a cGAN Approach L. Glawion et al. 10.1029/2023EA002906
4. Temporal Super-Resolution, Ground Adjustment, and Advection Correction of Radar Rainfall Using 3-D-Convolutional Neural Networks J. Polz et al. 10.1109/TGRS.2024.3371577
5. Rainfall nowcasting by integrating radar and rain gauge data with machine learning for Ischia Island, Italy F. Taromideh et al. 10.1016/j.ejrh.2025.102273
6. The effect of altitude on the uncertainty of radar-based precipitation estimates over Switzerland E. Ghaemi et al. 10.1080/01431161.2023.2203339
7. Spatial and Temporal Evaluation of Radar Rainfall Nowcasting Techniques on 1,533 Events R. Imhoff et al. 10.1029/2019WR026723
8. Pixel-CRN: A New Machine Learning Approach for Convective Storm Nowcasting W. Zhang et al. 10.1109/TGRS.2023.3267976
9. A Short-Long Term Sequence Learning Network for Precipitation Nowcasting Z. Pan et al. 10.1109/TGRS.2024.3424250
10. Enhancing severe weather predictions with the I-ConvGRU model: An iterative approach for radar echo time series through ConvGRU and RainNet integration R. Yang et al. 10.2166/hydro.2024.068
11. A quest for precipitation attractors in weather radar archives L. Foresti et al. 10.5194/npg-31-259-2024
12. Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. 10.1029/2020GL089365
13. A Comparison of Sea Surface Temperature Perturbation Methods for a Convection Permitting Ensemble Prediction System Over the European Arctic R. Grote & A. Singleton 10.16993/tellusa.27
14. Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning R. Imhoff et al. 10.1029/2021WR031591
15. Stochastic Downscaling to Chaotic Weather Regimes using Spatially Conditioned Gaussian Random Fields with Adaptive Covariance R. Prudden et al. 10.1175/WAF-D-20-0217.1
16. Two-Stage Rainfall-Forecasting Diffusion Model X. Ling et al. 10.1109/LGRS.2024.3382241
17. Deep learning enables super-resolution hydrodynamic flooding process modeling under spatiotemporally varying rainstorms J. He et al. 10.1016/j.watres.2023.120057
18. Intraday probabilistic forecasts of surface solar radiation with cloud scale-dependent autoregressive advection A. Carpentieri et al. 10.1016/j.apenergy.2023.121775
19. Applications of directional wavelets, Universal Multifractals and anisotropic scaling in ensemble nowcasting; a review of methods with case‐studies R. Scovell 10.1002/qj.3780
20. Enhancing Rainfall Nowcasting Using Generative Deep Learning Model with Multi-Temporal Optical Flow J. Ha & H. Lee 10.3390/rs15215169
21. Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning N. Rombeek et al. 10.5194/nhess-24-133-2024
22. Alleviating urban pluvial floods via dual-use water plazas orchestrated by predictive algorithms H. Zhou et al. 10.1016/j.jhydrol.2024.131695
23. Long lead-time radar rainfall nowcasting method incorporating atmospheric conditions using long short-term memory networks K. Zhu et al. 10.3389/fenvs.2022.1054235
24. Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks A. Gong et al. 10.3390/rs15133306
25. Climate Change Adaptations for Food Security in Vulnerable Areas of the Egyptian Nile—For Tackling the Overlooked Nexus Hazards of Hydrological Extremes and Waste Pollutions O. Chen et al. 10.3390/w13040412
26. A Customized Multi‐Scale Deep Learning Framework for Storm Nowcasting S. Yang & H. Yuan 10.1029/2023GL103979
27. Rad-cGAN v1.0: Radar-based precipitation nowcasting model with conditional generative adversarial networks for multiple dam domains S. Choi & Y. Kim 10.5194/gmd-15-5967-2022
28. 6G Visible Providing Advanced Weather Services for Autonomous Driving T. Sukuvaara et al. 10.3390/info15120805
29. On the suitability of a convolutional neural network based RCM-emulator for fine spatio-temporal precipitation A. Doury et al. 10.1007/s00382-024-07350-8
30. Nowcasting of Convective Rainfall Using Volumetric Radar Observations S. Pulkkinen et al. 10.1109/TGRS.2020.2984594
31. Spacetime Separable Latent Diffusion Model With Intensity Structure Information for Precipitation Nowcasting X. Ling et al. 10.1109/TGRS.2024.3444789
32. Forecasting of Local Lightning Using Spatial–Channel-Enhanced Recurrent Convolutional Neural Network W. Zhou et al. 10.3390/atmos15121478
33. Nationwide Radar-Based Precipitation Nowcasting—A Localization Filtering Approach and its Application for Germany R. Reinoso-Rondinel et al. 10.1109/JSTARS.2022.3144342
34. Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model S. Hartke et al. 10.1016/j.hydroa.2023.100148
35. Extreme and severe convective weather disasters: A dual-polarization radar nowcasting method based on physical constraints and a deep neural network model L. Wang et al. 10.1016/j.atmosres.2023.106750
36. Deep learning model based on multi-scale feature fusion for precipitation nowcasting J. Tan et al. 10.5194/gmd-17-53-2024
37. NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks M. Ehsani et al. 10.1109/TGRS.2022.3158888
38. Spatiotemporal Prediction of Radar Echoes Based on ConvLSTM and Multisource Data M. Lu et al. 10.3390/rs15051279
39. Coupling a Neural Network with a Spatial Downscaling Procedure to Improve Probabilistic Nowcast for Urban Rain Radars M. Marrocu & L. Massidda 10.3390/forecast4040046
40. 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. 10.1029/2023WR034599
41. Real-time bias correction of rainfall nowcasts using biward tracking method W. Na & C. Yoo 10.1016/j.jhydrol.2023.129642
42. WITHDRAWN: Incorporating IMERG satellite precipitation uncertainty into seasonal and peak streamflow predictions using the Hillslope Link hydrological model S. Hartke et al. 10.1016/j.jhydrol.2022.129012
43. Skillful Radar-Based Heavy Rainfall Nowcasting Using Task-Segmented Generative Adversarial Network R. Wang et al. 10.1109/TGRS.2023.3295211
44. Improving Nowcasting of Intense Convective Precipitation by Incorporating Dual-Polarization Radar Variables into Generative Adversarial Networks P. Cai et al. 10.3390/s24154895
45. Advances in Deep-Learning-based Precipitation Nowcasting Techniques Q. ZHENG et al. 10.3724/j.1006-8775.2024.028
46. An Evolution-Unet-ConvNeXt approach based on feature fusion for enhancing the accuracy of short-term precipitation forecasting Y. Su et al. 10.1016/j.atmosres.2025.107984
47. Reliable precipitation nowcasting using probabilistic diffusion models C. Nai et al. 10.1088/1748-9326/ad2891
48. 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
49. Weather Radar in Complex Orography U. Germann et al. 10.3390/rs14030503
50. 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
51. An Improved Precipitation Nowcasting Algorithm Based on COTREC Method Z. Yang et al. 10.1109/TGRS.2024.3446826
52. Real-Time Control Enhanced Blue-Green Infrastructure Towards Torrential Events: A Smart Predictive Solution H. Zhou et al. 10.2139/ssrn.4127960
53. Precipitation Nowcasting Based on Deep Learning over Guizhou, China D. Kong et al. 10.3390/atmos14050807
54. A characterisation of Alpine mesocyclone occurrence M. Feldmann et al. 10.5194/wcd-2-1225-2021
55. A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts L. Harris et al. 10.1029/2022MS003120
56. RoadSurf 1.1: open-source road weather model library V. Karsisto 10.5194/gmd-17-4837-2024
57. Advancing very short-term rainfall prediction with blended U-Net and partial differential approaches J. Ha & J. Park 10.3389/feart.2023.1301523
58. Evaluating pySTEPS optical flow algorithms for convection nowcasting over the Maritime Continent using satellite data J. Smith et al. 10.5194/nhess-24-567-2024
59. A comprehensive implementation of the log, Box-Cox and log-sinh transformations for skewed and censored precipitation data Z. Huang et al. 10.1016/j.jhydrol.2023.129347
60. Prior information assisted multi-scale network for precipitation nowcasting D. Song et al. 10.1016/j.cageo.2025.105851
61. Satellite-Based Nowcasting of West African Mesoscale Storms Has Skill at up to 4-h Lead Time R. Burton et al. 10.1175/WAF-D-21-0051.1
62. Rain Motion Vectors Analysis From the Radar Network in Italy M. Montopoli et al. 10.1109/JSTARS.2024.3410031
63. TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting G. Franch et al. 10.1038/s41597-020-0574-8
64. Relevance of merging radar and rainfall gauge data for rainfall nowcasting in urban hydrology B. Shehu & U. Haberlandt 10.1016/j.jhydrol.2020.125931
65. Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning D. Han et al. 10.1080/15481603.2023.2203363
66. Two-Stage Spatiotemporal Context Refinement Network for Precipitation Nowcasting D. Niu et al. 10.3390/rs13214285
67. Skilful precipitation nowcasting using deep generative models of radar S. Ravuri et al. 10.1038/s41586-021-03854-z
68. Assessing Nowcast Models in the Central Mexico Region Using Radar and GOES-16 Satellite Data D. Islas-Flores & A. Magaldi 10.3390/atmos15020152
69. Nowcasting thunderstorm hazards using machine learning: the impact of data sources on performance J. Leinonen et al. 10.5194/nhess-22-577-2022
70. Real-time control enhanced blue-green infrastructure towards torrential events: A smart predictive solution H. Zhou et al. 10.1016/j.uclim.2023.101439
71. Brief communication: Training of AI-based nowcasting models for rainfall early warning should take into account user requirements G. Ayzel & M. Heistermann 10.5194/nhess-25-41-2025
72. Smart roofs featuring predictive control: An upgrade for mitigating precipitation extreme-induced pluvial floods H. Zhou et al. 10.1016/j.jenvman.2024.121504
73. Precipitation Nowcasting Using Diffusion Transformer With Causal Attention C. Li et al. 10.1109/TGRS.2024.3510693
74. scores: A Python package for verifying and evaluating models and predictions with xarray T. Leeuwenburg et al. 10.21105/joss.06889
75. Assessment of two approaches for very short range precipitation prediction for a convection-dominant period at different scales E. Ghaemi et al. 10.1016/j.atmosres.2024.107522
76. An open-source framework for mosaic radar-based rainfall estimation across Thailand's watersheds N. Mahavik et al. 10.1007/s41324-025-00606-3
77. Application of optical flow technique to short-term rainfall forecast for some synoptic patterns in Vietnam N. Thu et al. 10.1007/s00704-024-05277-y
78. A Systematic Modular Approach for the Coupling of Deep-Learning-Based Models to Forecast Urban Flooding Maps in Early Warning Systems J. Koltermann da Silva et al. 10.3390/hydrology11120215
79. Satellite based rainfall nowcasting using geospatial techniques B. Shukla et al. 10.1007/s00703-024-01049-5
80. Three-Dimensional Gridded Radar Echo Extrapolation for Convective Storm Nowcasting Based on 3D-ConvLSTM Model N. Sun et al. 10.3390/rs14174256
81. Iterative graph deformation for aircraft trajectory planning considering ensemble forecasting of thunderstorms E. Andrés et al. 10.1016/j.trc.2022.103919
82. 3D-UNet-LSTM: A Deep Learning-Based Radar Echo Extrapolation Model for Convective Nowcasting S. Guo et al. 10.3390/rs15061529
83. Research on Radar Echo Extrapolation Method by Fusing Environment Grid Point Field Information Y. Wen et al. 10.3390/atmos14060980
84. Visualization of radar-observed rainfall for hydrological risk assessment J. Olsson et al. 10.5194/asr-18-59-2021
85. Scale‐dependent blending of ensemble rainfall nowcasts and numerical weather prediction in the open‐source pysteps library R. Imhoff et al. 10.1002/qj.4461
86. Toward the Predictability of a Radar-Based Nowcasting System for Different Precipitation Systems L. Han et al. 10.1109/LGRS.2022.3185031
87. The GRAPES evaluation tools based on Python (GetPy) B. Zhao et al. 10.1007/s42514-022-00127-7
88. Operational Assessment of High Resolution Weather Radar Based Precipitation Nowcasting System B. Raj et al. 10.3390/atmos15020154
89. Value of Spatially Distributed Rainfall Design Events—Creating Basin-Scale Stochastic Design Storm Ensembles V. Lindgren et al. 10.3390/w15173066
90. Enhancing consistency of microphysical properties of precipitation across the melting layer in dual-frequency precipitation radar data K. Mroz et al. 10.5194/amt-17-1577-2024
91. Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning D. Han et al. 10.5194/gmd-16-5895-2023
92. Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness M. Piran et al. 10.1016/j.jag.2024.103962
93. Effective training strategies for deep-learning-based precipitation nowcasting and estimation J. Ko et al. 10.1016/j.cageo.2022.105072
94. Cell-tracking-based framework for assessing nowcasting model skill in reproducing growth and decay of convective rainfall J. Ritvanen et al. 10.5194/gmd-18-1851-2025
95. Pyrad: A Real-Time Weather Radar Data Processing Framework Based on Py-ART J. Figueras i Ventura et al. 10.5334/jors.330
96. Use of Deep Learning for Weather Radar Nowcasting J. Cuomo & V. Chandrasekar 10.1175/JTECH-D-21-0012.1
97. Application of Radar-Based Precipitation Data Improves the Effectiveness of Urban Inundation Forecasting D. Tri et al. 10.3390/su16093736
98. Nowcasting tracks of severe convective storms in West Africa from observations of land surface state C. Taylor et al. 10.1088/1748-9326/ac536d
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101. A look at the mathematics of radar-based nowcasting T. Buriol et al. 10.5902/2179460X87224
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103. Multiscale Representation of Radar Echo Data Retrieved through Deep Learning from Numerical Model Simulations and Satellite Images M. Zhu et al. 10.3390/rs15143466
104. Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers D. Piontek et al. 10.3390/rs15051247
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106. Assessment of deterministic and probabilistic precipitation nowcasting techniques over New York metropolitan area A. Tounsi et al. 10.1016/j.envsoft.2023.105803
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114. Shallow- and deep-convection characteristics in the greater Houston, Texas, area using cell tracking methodology K. Tuftedal et al. 10.5194/acp-24-5637-2024
115. Using Conditional Generative Adversarial 3-D Convolutional Neural Network for Precise Radar Extrapolation C. Wang et al. 10.1109/JSTARS.2021.3083647
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120. Comparative study of cloud evolution for rainfall nowcasting using AI-based deep learning algorithms X. Jiang et al. 10.1016/j.jhydrol.2024.131593
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124. NLED: Nonlocal Echo Dynamics Network for Radar Echo Extrapolation T. Chen et al. 10.1109/TGRS.2022.3197833
125. GAN-argcPredNet v2.0: a radar echo extrapolation model based on spatiotemporal process enhancement K. Zheng et al. 10.5194/gmd-17-399-2024
126. Umgang mit Unsicherheiten in der Hochwasservorhersage am Beispiel des Emschergebiets A. Treis et al. 10.1007/s35147-023-1866-7