mlsanityData to 14 Oct 2026

Broad-UNet: Multi-scale feature learning for nowcasting tasks

arXiv 2102.06442 ↗First posted 12 Feb 2021cs.LGcited by 25

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Abstract (arXiv)

Weather nowcasting consists of predicting meteorological components in the short term at high spatial resolutions. Due to its influence in many human activities, accurate nowcasting has recently gained plenty of attention. In this paper, we treat the nowcasting problem as an image-to-image translation problem using satellite imagery. We introduce Broad-UNet, a novel architecture based on the core UNet model, to efficiently address this problem. In particular, the proposed Broad-UNet is equipped with asymmetric parallel convolutions as well as Atrous Spatial Pyramid Pooling (ASPP) module. In this way, The the Broad-UNet model learns more complex patterns by combining multi-scale features while using fewer parameters than the core UNet model. The proposed model is applied on two different nowcasting tasks, i.e. precipitation maps and cloud cover nowcasting. The obtained numerical results show that the introduced Broad-UNet model performs more accurate predictions compared to the other examined architectures.

Key facts. Cited by 25 papers in the map (data through 14 Oct 2026). Builds on 17 of its 49 references that are in the map. First posted on arXiv 12 Feb 2021.

Builds on

17 of 49 references.

References · 17

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Deep Residual Learning for Image Recognitioncited by 52,096
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  9. 2017Unsupervised Machine Translation Using Monolingual Corpora Onlycited by 273
  10. 2017Deep Learning for Precipitation Nowcasting: A Benchmark and A New Modelcited by 182
  11. 2020SmaAt-UNet: Precipitation Nowcasting using a Small Attention-UNet Architecturecited by 71
  12. 2019Machine Learning for Precipitation Nowcasting from Radar Imagescited by 56
5 more
  1. 2017Deep Learning for Time-Series Analysiscited by 55
  2. 2016Audio Word2Vec: Unsupervised Learning of Audio Segment Representations using Sequence-to-sequence Autoencodercited by 34
  3. 2019Precipitation Nowcasting with Satellite Imagerycited by 18
  4. 2020Deep coastal sea elements forecasting using U-Net based modelscited by 14
  5. 2020Cloud Cover Nowcasting with Deep Learningcited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 3; 2022: 2; 2023: 7; 2024: 5; 2025: 2; 2026: 6.

25 papers.

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  1. 2023Foundation Models for Weather and Climate Data Understanding: A Comprehensive Surveycited by 34
  2. 2023Precipitation nowcasting with generative diffusion modelscited by 23
  3. 2022AA-TransUNet: Attention Augmented TransUNet For Nowcasting Taskscited by 22
  4. 2021Symbolic regression for scientific discovery: an application to wind speed forecastingcited by 16
  5. 2024Deep learning for precipitation nowcasting: A survey from the perspective of time series forecastingcited by 14
  6. 2021Multistream Graph Attention Networks for Wind Speed Forecastingcited by 12
  7. 2024GA-SmaAt-GNet: Generative Adversarial Small Attention GNet for Extreme Precipitation Nowcastingcited by 9
  8. 2021TENT: Tensorized Encoder Transformer for Temperature Forecastingcited by 7
  9. 2024Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcastingcited by 7
  10. 2023SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Taskscited by 6
  11. 2022MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learningcited by 5
  12. 2023MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video Prediction Domaincited by 4
13 more
  1. 2023WF-UNet: Weather Fusion UNet for Precipitation Nowcastingcited by 2
  2. 2024Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Eventscited by 2
  3. 2025SSA-UNet: Advanced Precipitation Nowcasting via Channel Shufflingcited by 2
  4. 2025RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hourscited by 2
  5. 2026Probabilistic Precipitation Nowcasting with Rectified Flow Transformerscited by 2
  6. 2023RainAI -- Precipitation Nowcasting from Satellite Datacited by 1
  7. 2023Deep Vision in Analysis and Recognition of Radar Data: Achievements, Advancements and Challengescited by 0
  8. 2024Self-supervised Spatial-Temporal Learner for Precipitation Nowcastingcited by 0
  9. 2026MAD-SmaAt-GNet: A Multimodal Advection-Guided Neural Network for Precipitation Nowcastingcited by 0
  10. 2026SmaAT-QMix-UNet: A Parameter-Efficient Vector-Quantized UNet for Precipitation Nowcastingcited by 0
  11. 2026A Diffusion-Contrastive Graph Neural Network with Virtual Nodes for Wind Nowcasting in Unobserved Regionscited by 0
  12. 2026Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regressioncited by 0
  13. 2026Temporal Context Conditioning for Seasonality-Aware Precipitation Nowcasting of High-Intensity Rainfallcited by 0