mlsanityData to 7 Oct 2026

SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale

arXiv 2406.16955 ↗First posted 20 Jun 2024eess.SP cs.CV cs.LGcited by 6

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Abstract (arXiv)

We introduce a transformer-based neural network to generate high-resolution (3km) synthetic radar reflectivity fields at scale from geostationary satellite imagery. This work aims to enhance short-term convective-scale forecasts of high-impact weather events and aid in data assimilation for numerical weather prediction over the United States. Compared to convolutional approaches, which have limited receptive fields, our results show improved sharpness and higher accuracy across various composite reflectivity thresholds. Additional case studies over specific atmospheric phenomena support our quantitative findings, while a novel attribution method is introduced to guide domain experts in understanding model outputs.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 20 of its 35 references that are in the map. First posted on arXiv 20 Jun 2024.

Builds on

20 of 35 references.

References · 20

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2020End-to-End Object Detection with Transformerscited by 7,384
  4. 2019What Does BERT Look At? An Analysis of BERT's Attentioncited by 994
  5. 2022FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operatorscited by 748
  6. 2019Attention is not not Explanationcited by 629
  7. 2020Transformer Interpretability Beyond Attention Visualizationcited by 620
  8. 2019Is Attention Interpretable?cited by 387
  9. 2021Skillful Precipitation Nowcasting using Deep Generative Models of Radarcited by 308
  10. 2019Revealing the Dark Secrets of BERTcited by 300
  11. 2022GraphCast: Learning skillful medium-range global weather forecastingcited by 261
  12. 2023FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Leadcited by 170
8 more
  1. 2022Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecastcited by 164
  2. 2020Self-Attention Attribution: Interpreting Information Interactions Inside Transformercited by 124
  3. 2019On Identifiability in Transformerscited by 115
  4. 2023Residual Corrective Diffusion Modeling for Km-scale Atmospheric Downscalingcited by 103
  5. 2018How Important Is a Neuron?cited by 73
  6. 2020Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observationscited by 17
  7. 2021The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciencescited by 12
  8. 2024DiffObs: Generative Diffusion for Global Forecasting of Satellite Observationscited by 9

Built on by

Cited by year

Citing papers per year: 2024: 2; 2025: 4.

6 papers.

  1. 2025OmniEarth-Bench: Towards Holistic Evaluation of Earth's Six Spheres and Cross-Spheres Interactions with Multimodal Observational Earth Datacited by 14
  2. 2024WeatherGFM: Learning A Weather Generalist Foundation Model via In-context Learningcited by 12
  3. 2025RadarQA: Multi-modal Quality Analysis of Weather Radar Forecastscited by 8
  4. 2024DiffSR: Learning Radar Reflectivity Synthesis via Diffusion Model from Satellite Observationscited by 4
  5. 2025RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hourscited by 2
  6. 2025SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformercited by 0