103 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. The effect of altitude on the uncertainty of radar-based precipitation estimates over Switzerland E. Ghaemi et al. 10.1080/01431161.2023.2203339
6. Spatial and Temporal Evaluation of Radar Rainfall Nowcasting Techniques on 1,533 Events R. Imhoff et al. 10.1029/2019WR026723
7. Pixel-CRN: A New Machine Learning Approach for Convective Storm Nowcasting W. Zhang et al. 10.1109/TGRS.2023.3267976
8. A quest for precipitation attractors in weather radar archives L. Foresti et al. 10.5194/npg-31-259-2024
9. Rainfall Nowcasting Using Commercial Microwave Links R. Imhoff et al. 10.1029/2020GL089365
10. 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
11. Large‐Sample Evaluation of Radar Rainfall Nowcasting for Flood Early Warning R. Imhoff et al. 10.1029/2021WR031591
12. 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
13. Two-Stage Rainfall-Forecasting Diffusion Model X. Ling et al. 10.1109/LGRS.2024.3382241
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15. Intraday probabilistic forecasts of surface solar radiation with cloud scale-dependent autoregressive advection A. Carpentieri et al. 10.1016/j.apenergy.2023.121775
16. 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
17. Enhancing Rainfall Nowcasting Using Generative Deep Learning Model with Multi-Temporal Optical Flow J. Ha & H. Lee 10.3390/rs15215169
18. Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning N. Rombeek et al. 10.5194/nhess-24-133-2024
19. Alleviating urban pluvial floods via dual-use water plazas orchestrated by predictive algorithms H. Zhou et al. 10.1016/j.jhydrol.2024.131695
20. 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
21. Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks A. Gong et al. 10.3390/rs15133306
22. 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
23. A Customized Multi‐Scale Deep Learning Framework for Storm Nowcasting S. Yang & H. Yuan 10.1029/2023GL103979
24. 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
25. Nowcasting of Convective Rainfall Using Volumetric Radar Observations S. Pulkkinen et al. 10.1109/TGRS.2020.2984594
26. Nationwide Radar-Based Precipitation Nowcasting—A Localization Filtering Approach and its Application for Germany R. Reinoso-Rondinel et al. 10.1109/JSTARS.2022.3144342
27. 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
28. 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
29. Deep learning model based on multi-scale feature fusion for precipitation nowcasting J. Tan et al. 10.5194/gmd-17-53-2024
30. 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
31. Spatiotemporal Prediction of Radar Echoes Based on ConvLSTM and Multisource Data M. Lu et al. 10.3390/rs15051279
32. Coupling a Neural Network with a Spatial Downscaling Procedure to Improve Probabilistic Nowcast for Urban Rain Radars M. Marrocu & L. Massidda 10.3390/forecast4040046
33. 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
34. Real-time bias correction of rainfall nowcasts using biward tracking method W. Na & C. Yoo 10.1016/j.jhydrol.2023.129642
35. 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
36. Skillful Radar-Based Heavy Rainfall Nowcasting Using Task-Segmented Generative Adversarial Network R. Wang et al. 10.1109/TGRS.2023.3295211
37. Reliable precipitation nowcasting using probabilistic diffusion models C. Nai et al. 10.1088/1748-9326/ad2891
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. Weather Radar in Complex Orography U. Germann et al. 10.3390/rs14030503
40. 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
41. Real-Time Control Enhanced Blue-Green Infrastructure Towards Torrential Events: A Smart Predictive Solution H. Zhou et al. 10.2139/ssrn.4127960
42. Precipitation Nowcasting Based on Deep Learning over Guizhou, China D. Kong et al. 10.3390/atmos14050807
43. A characterisation of Alpine mesocyclone occurrence M. Feldmann et al. 10.5194/wcd-2-1225-2021
44. A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts L. Harris et al. 10.1029/2022MS003120
45. RoadSurf 1.1: open-source road weather model library V. Karsisto 10.5194/gmd-17-4837-2024
46. Advancing very short-term rainfall prediction with blended U-Net and partial differential approaches J. Ha & J. Park 10.3389/feart.2023.1301523
47. 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
48. 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
49. 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
50. Rain Motion Vectors Analysis From the Radar Network in Italy M. Montopoli et al. 10.1109/JSTARS.2024.3410031
51. TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting G. Franch et al. 10.1038/s41597-020-0574-8
52. Relevance of merging radar and rainfall gauge data for rainfall nowcasting in urban hydrology B. Shehu & U. Haberlandt 10.1016/j.jhydrol.2020.125931
53. Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning D. Han et al. 10.1080/15481603.2023.2203363
54. Two-Stage Spatiotemporal Context Refinement Network for Precipitation Nowcasting D. Niu et al. 10.3390/rs13214285
55. Skilful precipitation nowcasting using deep generative models of radar S. Ravuri et al. 10.1038/s41586-021-03854-z
56. Assessing Nowcast Models in the Central Mexico Region Using Radar and GOES-16 Satellite Data D. Islas-Flores & A. Magaldi 10.3390/atmos15020152
57. Nowcasting thunderstorm hazards using machine learning: the impact of data sources on performance J. Leinonen et al. 10.5194/nhess-22-577-2022
58. Real-time control enhanced blue-green infrastructure towards torrential events: A smart predictive solution H. Zhou et al. 10.1016/j.uclim.2023.101439
59. Smart roofs featuring predictive control: An upgrade for mitigating precipitation extreme-induced pluvial floods H. Zhou et al. 10.1016/j.jenvman.2024.121504
60. scores: A Python package for verifying and evaluating models and predictions with xarray T. Leeuwenburg et al. 10.21105/joss.06889
61. 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
62. Three-Dimensional Gridded Radar Echo Extrapolation for Convective Storm Nowcasting Based on 3D-ConvLSTM Model N. Sun et al. 10.3390/rs14174256
63. Iterative graph deformation for aircraft trajectory planning considering ensemble forecasting of thunderstorms E. Andrés et al. 10.1016/j.trc.2022.103919
64. 3D-UNet-LSTM: A Deep Learning-Based Radar Echo Extrapolation Model for Convective Nowcasting S. Guo et al. 10.3390/rs15061529
65. Research on Radar Echo Extrapolation Method by Fusing Environment Grid Point Field Information Y. Wen et al. 10.3390/atmos14060980
66. Visualization of radar-observed rainfall for hydrological risk assessment J. Olsson et al. 10.5194/asr-18-59-2021
67. 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
68. Toward the Predictability of a Radar-Based Nowcasting System for Different Precipitation Systems L. Han et al. 10.1109/LGRS.2022.3185031
69. The GRAPES evaluation tools based on Python (GetPy) B. Zhao et al. 10.1007/s42514-022-00127-7
70. Operational Assessment of High Resolution Weather Radar Based Precipitation Nowcasting System B. Raj et al. 10.3390/atmos15020154
71. Value of Spatially Distributed Rainfall Design Events—Creating Basin-Scale Stochastic Design Storm Ensembles V. Lindgren et al. 10.3390/w15173066
72. 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
73. 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
74. Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness M. Piran et al. 10.1016/j.jag.2024.103962
75. Effective training strategies for deep-learning-based precipitation nowcasting and estimation J. Ko et al. 10.1016/j.cageo.2022.105072
76. Pyrad: A Real-Time Weather Radar Data Processing Framework Based on Py-ART J. Figueras i Ventura et al. 10.5334/jors.330
77. Use of Deep Learning for Weather Radar Nowcasting J. Cuomo & V. Chandrasekar 10.1175/JTECH-D-21-0012.1
78. Application of Radar-Based Precipitation Data Improves the Effectiveness of Urban Inundation Forecasting D. Tri et al. 10.3390/su16093736
79. Nowcasting tracks of severe convective storms in West Africa from observations of land surface state C. Taylor et al. 10.1088/1748-9326/ac536d
80. RainForest: a random forest algorithm for quantitative precipitation estimation over Switzerland D. Wolfensberger et al. 10.5194/amt-14-3169-2021
81. Reliability of Ensemble Climatological Forecasts Z. Huang et al. 10.1029/2023WR034942
82. Multiscale Representation of Radar Echo Data Retrieved through Deep Learning from Numerical Model Simulations and Satellite Images M. Zhu et al. 10.3390/rs15143466
83. Multi-Channel Spectral Band Adjustment Factors for Thermal Infrared Measurements of Geostationary Passive Imagers D. Piontek et al. 10.3390/rs15051247
84. Experimental Study on Generative Adversarial Network for Precipitation Nowcasting C. Luo et al. 10.1109/TGRS.2022.3177625
85. Assessment of deterministic and probabilistic precipitation nowcasting techniques over New York metropolitan area A. Tounsi et al. 10.1016/j.envsoft.2023.105803
86. Probabilistic Attenuation Nowcasting for the 5G Telecommunication Networks J. Pudashine et al. 10.1109/LAWP.2021.3068393
87. Two-Stage UA-GAN for Precipitation Nowcasting L. Xu et al. 10.3390/rs14235948
88. Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events G. Franch et al. 10.3390/atmos11030267
89. Short-term rainfall forecasting using cumulative precipitation fields from station data: a probabilistic machine learning approach D. Pirone et al. 10.1016/j.jhydrol.2022.128949
90. Nowcasting the precipitation phase combining weather radar data, surface observations, and NWP model forecasts E. Casellas et al. 10.1002/qj.4121
91. Lagrangian Integro-Difference Equation Model for Precipitation Nowcasting S. Pulkkinen et al. 10.1175/JTECH-D-21-0013.1
92. 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
93. Using Conditional Generative Adversarial 3-D Convolutional Neural Network for Precise Radar Extrapolation C. Wang et al. 10.1109/JSTARS.2021.3083647
94. Advection-Free Convolutional Neural Network for Convective Rainfall Nowcasting J. Ritvanen et al. 10.1109/JSTARS.2023.3238016
95. RAP-Net: Region Attention Predictive Network for precipitation nowcasting Z. Zhang et al. 10.5194/gmd-15-5407-2022
96. Mitigating blade erosion damage through nowcast-driven erosion-safe mode control N. Barfknecht et al. 10.1088/1742-6596/2767/3/032001
97. Comparative study of cloud evolution for rainfall nowcasting using AI-based deep learning algorithms X. Jiang et al. 10.1016/j.jhydrol.2024.131593
98. Skilful nowcasting of extreme precipitation with NowcastNet Y. Zhang et al. 10.1038/s41586-023-06184-4
99. Ensemble Representation of Satellite Precipitation Uncertainty Using a Nonstationary, Anisotropic Autocorrelation Model S. Hartke et al. 10.1029/2021WR031650
100. DEUCE v1.0: a neural network for probabilistic precipitation nowcasting with aleatoric and epistemic uncertainties B. Harnist et al. 10.5194/gmd-17-3839-2024
101. NLED: Nonlocal Echo Dynamics Network for Radar Echo Extrapolation T. Chen et al. 10.1109/TGRS.2022.3197833
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