152 citations as recorded by crossref.

1. Comparative study of cloud evolution for rainfall nowcasting using AI-based deep learning algorithms X. Jiang et al. 10.1016/j.jhydrol.2024.131593
2. An explainable two-stage machine learning approach for precipitation forecast A. Senocak et al. 10.1016/j.jhydrol.2023.130375
3. Mutual Information Boosted Precipitation Nowcasting from Radar Images Y. Cao et al. 10.3390/rs15061639
4. METEO-DLNet: Quantitative Precipitation Nowcasting Net Based on Meteorological Features and Deep Learning J. Hu et al. 10.3390/rs16061063
5. Towards a More Realistic and Detailed Deep-Learning-Based Radar Echo Extrapolation Method Y. Hu et al. 10.3390/rs14010024
6. STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network W. Fang et al. 10.1109/TGRS.2023.3268187
7. Deep Learning Integration of Multi-Model Forecast Precipitation Considering Long Lead Times W. Fang et al. 10.3390/rs16234489
8. A self-attention integrated spatiotemporal LSTM approach to edge-radar echo extrapolation in the Internet of Radars Z. Yang et al. 10.1016/j.isatra.2022.06.046
9. Graph Dual-stream Convolutional Attention Fusion for precipitation nowcasting L. Vatamány & S. Mehrkanoon 10.1016/j.engappai.2024.109788
10. Fine-Grained Conditional Convolution Network With Geographic Features for Temperature Prediction C. Zhang et al. 10.1109/TGRS.2023.3298318
11. Towards nowcasting in Europe in 2030 S. Bojinski et al. 10.1002/met.2124
12. 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
13. Intelligent Reconstruction of Radar Composite Reflectivity Based on Satellite Observations and Deep Learning J. Zhao et al. 10.3390/rs16020275
14. NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes A. Albu et al. 10.3390/rs14163890
15. Multivariate Upstream Kuroshio Transport (UKT) Prediction and Targeted Observation Sensitive Area Identification of UKT Seasonal Reduction B. Mu et al. 10.1016/j.ocemod.2024.102344
16. Deep learning models for generation of precipitation maps based on numerical weather prediction A. Rojas-Campos et al. 10.5194/gmd-16-1467-2023
17. Prior information assisted multi-scale network for precipitation nowcasting D. Song et al. 10.1016/j.cageo.2025.105851
18. Prediction of severe thunderstorm events with ensemble deep learning and radar data S. Guastavino et al. 10.1038/s41598-022-23306-6
19. Advection-Free Convolutional Neural Network for Convective Rainfall Nowcasting J. Ritvanen et al. 10.1109/JSTARS.2023.3238016
20. A Precipitation Nowcasting Mechanism for Real-World Data Based on Machine Learning Y. Xiang et al. 10.1155/2020/8408931
21. 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
22. Use of Deep Learning for Weather Radar Nowcasting J. Cuomo & V. Chandrasekar 10.1175/JTECH-D-21-0012.1
23. Advancing very short-term rainfall prediction with blended U-Net and partial differential approaches J. Ha & J. Park 10.3389/feart.2023.1301523
24. 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
25. Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting S. An et al. 10.1016/j.eswa.2024.126301
26. Precipitation nowcasting using transformer-based generative models and transfer learning for improved disaster preparedness M. Piran et al. 10.1016/j.jag.2024.103962
27. Contextualizing predictive minds M. Butz et al. 10.1016/j.neubiorev.2024.105948
28. A multi-scale attention encoding and dynamic decoding network designed for short-term precipitation forecasting X. Du & H. Guo 10.1007/s12145-024-01554-6
29. 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
30. Three-Dimensional Gridded Radar Echo Extrapolation for Convective Storm Nowcasting Based on 3D-ConvLSTM Model N. Sun et al. 10.3390/rs14174256
31. Quantifying the Location Error of Precipitation Nowcasts A. Costa Tomaz de Souza et al. 10.1155/2020/8841913
32. Multi-Level Circulation Pattern Classification Based on the Transfer Learning CNN Network Y. Liu et al. 10.3390/atmos13111861
33. Precipitation nowcasting with generative diffusion models A. Asperti et al. 10.1007/s10489-024-06048-y
34. Skilful nowcasting of extreme precipitation with NowcastNet Y. Zhang et al. 10.1038/s41586-023-06184-4
35. Improving radar-based rainfall nowcasting by a nearest-neighbour approach – Part 1: Storm characteristics B. Shehu & U. Haberlandt 10.5194/hess-26-1631-2022
36. Deep Learning-Based Radar Composite Reflectivity Factor Estimations from Fengyun-4A Geostationary Satellite Observations F. Sun et al. 10.3390/rs13112229
37. How artificial intelligence is transforming weather forecasting for the future J. Huang & B. Chen 10.1360/TB-2024-0100
38. HyPhAICC v1.0: a hybrid physics–AI approach for probability fields advection shown through an application to cloud cover nowcasting R. El Montassir et al. 10.5194/gmd-17-6657-2024
39. TempNet – temporal super-resolution of radar rainfall products with residual CNNs M. Sit et al. 10.2166/hydro.2023.196
40. EfficientRainNet: Leveraging EfficientNetV2 for memory-efficient rainfall nowcasting M. Sit et al. 10.1016/j.envsoft.2024.106001
41. Skilful precipitation nowcasting using deep generative models of radar S. Ravuri et al. 10.1038/s41586-021-03854-z
42. MPFNet: Multiproduct Fusion Network for Radar Echo Extrapolation Y. Pei et al. 10.1109/TGRS.2024.3496081
43. Probabilistic Attenuation Nowcasting for the 5G Telecommunication Networks J. Pudashine et al. 10.1109/LAWP.2021.3068393
44. DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes V. Ionescu et al. 10.1016/j.procs.2021.08.064
45. CSIP-Net: Convolutional Satellite Image Prediction Network for Meteorological Satellite Infrared Observation Imaging Y. Jiang et al. 10.3390/atmos14010025
46. 3D-UNet-LSTM: A Deep Learning-Based Radar Echo Extrapolation Model for Convective Nowcasting S. Guo et al. 10.3390/rs15061529
47. Enhanced rainfall nowcasting of tropical cyclone by an interpretable deep learning model and its application in real-time flood forecasting L. Liu et al. 10.1016/j.jhydrol.2024.131993
48. Superpixel-Based Weak Biological Feature Echo Extraction Method for Weather Radar C. Hu et al. 10.1109/TGRS.2024.3509874
49. A Hybrid Approach to Physical and Deep Learning Models for Radar-Based Precipitation Nowcasting H. Kim et al. 10.1109/TGRS.2025.3560454
50. Reconstruction of Missing Data in Weather Radar Image Sequences Using Deep Neuron Networks L. Gao et al. 10.3390/app11041491
51. Enhancing Radar Echo Extrapolation by ConvLSTM2D for Precipitation Nowcasting F. Naz et al. 10.3390/s24020459
52. Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting P. Das et al. 10.1038/s41612-024-00834-8
53. Nowcasting Heavy Rainfall With Convolutional Long Short-Term Memory Networks: A Pixelwise Modeling Approach Y. Wang et al. 10.1109/JSTARS.2024.3383397
54. 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
55. Enhanced optic-flow extrapolation for Doppler radar nowcasting with Dynamic Weight Attention D. Peng et al. 10.1016/j.eswa.2024.126168
56. RAP-Net: Region Attention Predictive Network for precipitation nowcasting Z. Zhang et al. 10.5194/gmd-15-5407-2022
57. Blending of a novel all sky imager model with persistence and a satellite based model for high-resolution irradiance nowcasting N. Straub et al. 10.1016/j.solener.2024.112319
58. MS-LSTM: Exploring spatiotemporal multiscale representations in video prediction domain Z. Ma et al. 10.1016/j.asoc.2023.110731
59. SOPNet Method for the Fine-Grained Measurement and Prediction of Precipitation Intensity Using Outdoor Surveillance Cameras C. Lin et al. 10.1109/ACCESS.2020.3032430
60. Effective training strategies for deep-learning-based precipitation nowcasting and estimation J. Ko et al. 10.1016/j.cageo.2022.105072
61. Correcting rainfall forecasts of a numerical weather prediction model using generative adversarial networks C. Jeong & M. Yi 10.1007/s11227-022-04686-y
62. Temperature forecasting by deep learning methods B. Gong et al. 10.5194/gmd-15-8931-2022
63. GAN-argcPredNet v2.0: a radar echo extrapolation model based on spatiotemporal process enhancement K. Zheng et al. 10.5194/gmd-17-399-2024
64. EuLerian Identification of ascending AirStreams (ELIAS 2.0) in numerical weather prediction and climate models – Part 1: Development of deep learning model J. Quinting & C. Grams 10.5194/gmd-15-715-2022
65. Deep learning model based on multi-scale feature fusion for precipitation nowcasting J. Tan et al. 10.5194/gmd-17-53-2024
66. Higher-resolution data improves deep learning-based precipitation nowcasting A. Gong et al. 10.1016/j.atmosres.2025.108010
67. Improving the Completion of Weather Radar Missing Data with Deep Learning A. Gong et al. 10.3390/rs15184568
68. A Patch-Wise Mechanism for Enhancing Sparse Radar Echo Extrapolation in Precipitation Nowcasting Y. Wang et al. 10.1109/JSTARS.2025.3543386
69. PrecipLSTM: A Meteorological Spatiotemporal LSTM for Precipitation Nowcasting Z. Ma et al. 10.1109/TGRS.2022.3198222
70. Assessment of Deep Learning-Based Nowcasting Using Weather Radar in South Korea S. Yoon et al. 10.3390/rs15215197
71. A Deep Learning Nowcasting Model for Convective Cell Occurrence in Taiwan Y. Pan et al. 10.2151/sola.2024-018
72. CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting Y. Ji et al. 10.5194/gmd-16-2737-2023
73. Focal Frame Loss: A Simple but Effective Loss for Precipitation Nowcasting Z. Ma et al. 10.1109/JSTARS.2022.3194522
74. Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning D. Han et al. 10.1080/15481603.2023.2203363
75. Prediction of Radar Echo Space-Time Sequence Based on Improving TrajGRU Deep-Learning Model Q. Zeng et al. 10.3390/rs14195042
76. Improved Precipitation Nowcasting Through a Deep Learning Model Based on Three-Dimensional Cloud Structures Y. Ye et al. 10.1109/TGRS.2024.3404062
77. GA-SmaAt-GNet: Generative adversarial small attention GNet for extreme precipitation nowcasting E. Reulen et al. 10.1016/j.knosys.2024.112612
78. 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
79. Quantitative Precipitation Estimation Using Weather Radar Data and Machine Learning Algorithms for the Southern Region of Brazil F. Verdelho et al. 10.3390/rs16111971
80. TAFFNet: Time‐Aware Adaptive Feature Fusion Network for Very Short‐Term Precipitation Forecasts J. Wang et al. 10.1029/2023GL104370
81. An Effective Algorithm of Outlier Correction in Space–Time Radar Rainfall Data Based on the Iterative Localized Analysis Y. Kim et al. 10.1109/TGRS.2024.3366400
82. HPC cluster-based user-defined data integration platform for deep learning in geoscience applications G. Li & Y. Choi 10.1016/j.cageo.2021.104868
83. 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
84. Spatiotemporal Feature Fusion Transformer for Precipitation Nowcasting via Feature Crossing T. Xiong et al. 10.3390/rs16142685
85. ConvLSTM Network-Based Rainfall Nowcasting Method with Combined Reflectance and Radar-Retrieved Wind Field as Inputs W. Liu et al. 10.3390/atmos13030411
86. Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting Y. Zhou et al. 10.1109/JSTARS.2024.3381822
87. Improving the Short-Range Precipitation Forecast of Numerical Weather Prediction through a Deep Learning-Based Mask Approach J. Zheng et al. 10.1007/s00376-023-3085-7
88. Enhancing the Encoding-Forecasting Model for Precipitation Nowcasting by Putting High Emphasis on the Latest Data of the Time Step C. Jeong et al. 10.3390/atmos12020261
89. DB-RNN: An RNN for Precipitation Nowcasting Deblurring Z. Ma et al. 10.1109/JSTARS.2024.3365612
90. Developing Deep Learning Models for Storm Nowcasting J. Cuomo & V. Chandrasekar 10.1109/TGRS.2021.3110180
91. Nowcasting Extreme Weather with Machine Learning Techniques Applied to Different Input Datasets R. Biondi et al. 10.2139/ssrn.4144317
92. 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
93. Incorporating spatial autocorrelation into deformable ConvLSTM for hourly precipitation forecasting L. Xu et al. 10.1016/j.cageo.2024.105536
94. Evaluation of Deep-Learning-Based Very Short-Term Rainfall Forecasts in South Korea S. Oh et al. 10.1007/s13143-022-00310-4
95. A spatiotemporal mixed-enhanced generative adversarial network for radar-based precipitation nowcasting L. He et al. 10.1016/j.cageo.2025.105919
96. The reconstitution predictive network for precipitation nowcasting C. Luo et al. 10.1016/j.neucom.2022.07.061
97. A hybrid of RainNet and genetic algorithm in nowcasting prediction T. Ngan et al. 10.1007/s12145-023-01120-6
98. A Practical Online Incremental Learning Framework for Precipitation Nowcasting C. Luo et al. 10.1109/TGRS.2023.3330303
99. Self-clustered GAN for precipitation nowcasting S. An et al. 10.1038/s41598-024-60253-w
100. Coordinate-Transformed Dynamic Mode Decomposition for Short-Term Rainfall Forecasting S. Zheng et al. 10.1109/TGRS.2024.3383058
101. Advancing timely satellite precipitation for IMERG-ER using GOES-16 data and a U-net convolutional neural network modelling approach M. Vélez-Hernández et al. 10.1016/j.envsoft.2025.106457
102. 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
103. PN-HGNN: Precipitation Nowcasting Network Via Hypergraph Neural Networks X. Sun et al. 10.1109/TGRS.2024.3407157
104. Physical‐Dynamic‐Driven AI‐Synthetic Precipitation Nowcasting Using Task‐Segmented Generative Model R. Wang et al. 10.1029/2023GL106084
105. Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks A. Gong et al. 10.3390/rs15133306
106. MBFE-UNet: A Multi-Branch Feature Extraction UNet with Temporal Cross Attention for Radar Echo Extrapolation H. Geng et al. 10.3390/rs16213956
107. Very Short-term Prediction of Weather Radar-Based Rainfall Distribution and Intensity Over the Korean Peninsula Using Convolutional Long Short-Term Memory Network Y. Kim & S. Hong 10.1007/s13143-022-00269-2
108. Coupling a Neural Network with a Spatial Downscaling Procedure to Improve Probabilistic Nowcast for Urban Rain Radars M. Marrocu & L. Massidda 10.3390/forecast4040046
109. Satellite‐Based Solar Irradiance Forecasting: Replacing Cloud Motion Vectors by Deep Learning N. Straub et al. 10.1002/solr.202400475
110. Residual Spatiotemporal Convolutional Neural Network Based on Multisource Fusion Data for Approaching Precipitation Forecasting T. Zhang et al. 10.3390/atmos15060628
111. RAIN-F+: The Data-Driven Precipitation Prediction Model for Integrated Weather Observations Y. Choi et al. 10.3390/rs13183627
112. Deep learning model for heavy rainfall nowcasting in South Korea S. Oh et al. 10.1016/j.wace.2024.100652
113. Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology T. Finn et al. 10.5194/tc-17-2965-2023
114. Deep Learning Framework for Precipitation Prediction Using Cloud Images M. Adnan Baig et al. 10.32604/cmc.2022.026225
115. Real-Time Tephra Detection and Dispersal Forecasting by a Ground-Based Weather Radar M. Syarifuddin et al. 10.3390/rs13245174
116. GAN–argcPredNet v1.0: a generative adversarial model for radar echo extrapolation based on convolutional recurrent units K. Zheng et al. 10.5194/gmd-15-1467-2022
117. Advancing sub-seasonal to seasonal multi-model ensemble precipitation prediction in east asia: Deep learning-based post-processing for improved accuracy U. Chung et al. 10.1016/j.heliyon.2024.e35933
118. STFF-UNet: a spatio-temporal feature fusion UNet model for short-term precipitation forecasting X. Du et al. 10.1007/s12145-025-01882-1
119. TSRC: A Deep Learning Model for Precipitation Short-Term Forecasting over China Using Radar Echo Data Q. Huang et al. 10.3390/rs15010142
120. ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery A. Mihoc et al. 10.1016/j.procs.2023.10.014
121. RainPredRNN: A New Approach for Precipitation Nowcasting with Weather Radar Echo Images Based on Deep Learning D. Tuyen et al. 10.3390/axioms11030107
122. End-to-End Prediction of Lightning Events from Geostationary Satellite Images S. Brodehl et al. 10.3390/rs14153760
123. Interpretable machine learning for weather and climate prediction: A review R. Yang et al. 10.1016/j.atmosenv.2024.120797
124. Near real-time hurricane rainfall forecasting using convolutional neural network models with Integrated Multi-satellitE Retrievals for GPM (IMERG) product T. Kim et al. 10.1016/j.atmosres.2022.106037
125. A spatiotemporal deep learning model ST-LSTM-SA for hourly rainfall forecasting using radar echo images J. Liu et al. 10.1016/j.jhydrol.2022.127748
126. A Generative Adversarial and Spatiotemporal Differential Fusion Method in Radar Echo Extrapolation X. Niu et al. 10.3390/rs15225329
127. Reliable precipitation nowcasting using probabilistic diffusion models C. Nai et al. 10.1088/1748-9326/ad2891
128. Deep Learning Model for Precipitation Nowcasting Based on Residual and Attention Mechanisms Z. Zhang et al. 10.3390/rs17071123
129. Nowcasting extreme rain and extreme wind speed with machine learning techniques applied to different input datasets S. Chkeir et al. 10.1016/j.atmosres.2022.106548
130. Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements, and Challenges Q. Liu et al. 10.1109/MSMC.2022.3216943
131. Evaluation of High-Intensity Precipitation Prediction Using Convolutional Long Short-Term Memory with U-Net Structure Based on Clustering T. Kwon et al. 10.3390/w16010097
132. Deep Learning for Seasonal Prediction of Summer Precipitation Levels in Eastern China P. Lu et al. 10.1029/2023EA003129
133. SF-CNN: Signal Filtering Convolutional Neural Network for Precipitation Intensity Estimation C. Lin et al. 10.3390/s22020551
134. Skillful Radar-Based Heavy Rainfall Nowcasting Using Task-Segmented Generative Adversarial Network R. Wang et al. 10.1109/TGRS.2023.3295211
135. A Cross-Modal Spatiotemporal Joint Predictive Network for Rainfall Nowcasting K. Zheng et al. 10.1109/TGRS.2024.3452767
136. An Individual Motion-Driven Artificial Intelligence Method for Precipitation Forecasting Using Radar Image Sequencing N. Yang & X. Li 10.1109/TGRS.2024.3439871
137. Rainfall nowcasting models: state of the art and possible future perspectives D. De Luca et al. 10.1080/02626667.2025.2490780
138. Improving the Gaussianity of radar reflectivity departures between observations and simulations using symmetric rain rates Y. Gao et al. 10.5194/amt-17-4675-2024
139. Precipitation Nowcasting Based on Deep Learning over Guizhou, China D. Kong et al. 10.3390/atmos14050807
140. 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
141. Nowcasting thunderstorm hazards using machine learning: the impact of data sources on performance J. Leinonen et al. 10.5194/nhess-22-577-2022
142. STPF-Net: Short-Term Precipitation Forecast Based on a Recurrent Neural Network J. Wang et al. 10.3390/rs16010052
143. REMNet: Recurrent Evolution Memory-Aware Network for Accurate Long-Term Weather Radar Echo Extrapolation J. Jing et al. 10.1109/TGRS.2022.3198851
144. An Improved Precipitation Nowcasting Algorithm Based on COTREC Method Z. Yang et al. 10.1109/TGRS.2024.3446826
145. Recursive model based on U-Net for very short range forecast S. Yoon 10.9728/dcs.2022.23.12.2481
146. Enhancing Rainfall Nowcasting Using Generative Deep Learning Model with Multi-Temporal Optical Flow J. Ha & H. Lee 10.3390/rs15215169
147. Performance Comparison between Deep Learning and Optical Flow-Based Techniques for Nowcast Precipitation from Radar Images M. Marrocu & L. Massidda 10.3390/forecast2020011
148. 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
149. Deep learning of model- and reanalysis-based precipitation and pressure mismatches over Europe K. Patakchi Yousefi & S. Kollet 10.3389/frwa.2023.1178114
150. Radar Based Precipitation Nowcasting Prediction by Using Deep Learning Techniques S. Imran et al. 10.1051/e3sconf/202340504003
151. RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting G. Ayzel et al. 10.5194/gmd-13-2631-2020
152. Cloud Nowcasting with Structure-Preserving Convolutional Gated Recurrent Units S. Kellerhals et al. 10.3390/atmos13101632