mlsanityData to 14 Oct 2026

Machine Learning for Precipitation Nowcasting from Radar Images

arXiv 1912.12132 ↗First posted 11 Dec 2019cs.CV cs.LG stat.MLcited by 56

Not on the map. Why?

Abstract (arXiv)

High-resolution nowcasting is an essential tool needed for effective adaptation to climate change, particularly for extreme weather. As Deep Learning (DL) techniques have shown dramatic promise in many domains, including the geosciences, we present an application of DL to the problem of precipitation nowcasting, i.e., high-resolution (1 km x 1 km) short-term (1 hour) predictions of precipitation. We treat forecasting as an image-to-image translation problem and leverage the power of the ubiquitous UNET convolutional neural network. We find this performs favorably when compared to three commonly used models: optical flow, persistence and NOAA's numerical one-hour HRRR nowcasting prediction.

Key facts. Cited by 56 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Dec 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 12; 2022: 11; 2023: 13; 2024: 8; 2025: 4; 2026: 8.

56 papers.

Sort:

By area:

  1. 2021Skillful Precipitation Nowcasting using Deep Generative Models of Radarcited by 311
  2. 2022Forecasting Global Weather with Graph Neural Networkscited by 168
  3. 2022Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecastcited by 166
  4. 2022A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecastscited by 66
  5. 2023Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantificationcited by 56
  6. 2023Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Sciencecited by 27
  7. 2021Broad-UNet: Multi-scale feature learning for nowcasting taskscited by 25
  8. 2023Conformal Contextual Robust Optimizationcited by 25
  9. 2024Generative Diffusion-based Downscaling for Climatecited by 25
  10. 2023Precipitation nowcasting with generative diffusion modelscited by 23
  11. 2022AA-TransUNet: Attention Augmented TransUNet For Nowcasting Taskscited by 22
  12. 2023Scaling Spherical CNNscited by 21
38 more
  1. 2023AI Foundation Models for Weather and Climate: Applications, Design, and Implementationcited by 21
  2. 2021Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networkscited by 20
  3. 2022Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processescited by 15
  4. 2021Deep Probability Estimationcited by 14
  5. 2022Spatial Mixture-of-Expertscited by 14
  6. 2023TempEE: Temporal-Spatial Parallel Transformer for Radar Echo Extrapolation Beyond Auto-Regressioncited by 12
  7. 2022Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimationcited by 10
  8. 2023DiffESM: Conditional Emulation of Earth System Models with Diffusion Modelscited by 9
  9. 2024GPTCast: a weather language model for precipitation nowcastingcited by 8
  10. 2024Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcastingcited by 7
  11. 2025Enhanced Route Planning with Calibrated Uncertainty Setcited by 5
  12. 2024Interpretable Machine Learning for Weather and Climate Prediction: A Surveycited by 4
  13. 2024Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areascited by 4
  14. 2025Observation-guided Interpolation Using Graph Neural Networks for High-Resolution Nowcasting in Switzerlandcited by 4
  15. 2021Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher Mechanismscited by 3
  16. 2021Multi Scale Graph Wavenet for Wind Speed Forecastingcited by 3
  17. 2021Short-term precipitation prediction using deep learningcited by 3
  18. 2022Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Datacited by 3
  19. 2023Inductive biases in deep learning models for weather predictioncited by 3
  20. 2024Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Modelscited by 3
  21. 2022Neural network processing of holographic imagescited by 2
  22. 2022Solving the Weather4cast Challenge via Visual Transformers for 3D Imagescited by 2
  23. 2023WF-UNet: Weather Fusion UNet for Precipitation Nowcastingcited by 2
  24. 2026Probabilistic Precipitation Nowcasting with Rectified Flow Transformerscited by 2
  25. 2026Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networkscited by 2
  26. 2021Statistical Post-Processing for Gridded Temperature Prediction Using Encoder-Decoder-Based Deep Convolutional Neural Networkscited by 1
  27. 2021PTCT: Patches with 3D-Temporal Convolutional Transformer Network for Precipitation Nowcastingcited by 1
  28. 2023Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecturecited by 1
  29. 2023RainAI -- Precipitation Nowcasting from Satellite Datacited by 1
  30. 2021Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networkscited by 0
  31. 2021PlumeCityNet: Multi-Resolution Air Quality Forecastingcited by 0
  32. 2021Machine learning for Earth System Science (ESS): A survey, status and future directions for South Asiacited by 0
  33. 2022Precipitaion Nowcasting using Deep Neural Networkcited by 0
  34. 2023Rethinking Evaluation Metric for Probability Estimation Models Using Esports Datacited by 0
  35. 2024Data-driven rainfall prediction at a regional scale: a case study with Ghanacited by 0
  36. 2024Self-supervised Spatial-Temporal Learner for Precipitation Nowcastingcited by 0
  37. 2025FuXi-Nowcast: Environment-conditioned deep learning for severe convection nowcastingcited by 0
  38. 2025A curated UK rain radar data set for training and benchmarking nowcasting modelscited by 0

50 most cited of 56 All 56 (JSON)