mlsanityData to 14 Oct 2026

FusionCast: Enhancing Precipitation Nowcasting with Asymmetric Cross-Modal Fusion and Future Radar Priors

arXiv 2603.13298 ↗First posted 2 Mar 2026cs.LG cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

Deep learning has significantly improved the accuracy of precipitation nowcasting. However, most existing multimodal models typically use simple channel concatenation or interpolation methods for data fusion, which often overlook the feature differences between different modalities. This paper therefore proposes a novel precipitation nowcasting optimisation framework called FusionCast. This framework incorporates three types of data: historical precipitable water vapour (PWV) data derived from global navigation satellite system (GNSS) inversions, historical radar based quantitative precipitation estimation (QPE), and forecasted radar QPE serving as a future prior. The FusionCast model comprises two core modules: the future prior radar QPE processing Module, which forecasts future radar data; and the Radar PWV Fusion (RPF) module, which uses a gate mechanism to efficiently combine features from various sources. Experimental results show that FusionCast significantly improves nowcasting performance.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 33 references that are in the map. First posted on arXiv 2 Mar 2026.

Builds on

12 of 33 references.

References · 12

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2014Conditional Generative Adversarial Netscited by 2,162
  3. 2015Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcastingcited by 1,436
  4. 2021Skillful Precipitation Nowcasting using Deep Generative Models of Radarcited by 311
  5. 2017Deep Learning for Precipitation Nowcasting: A Benchmark and A New Modelcited by 182
  6. 2021PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learningcited by 182
  7. 2020MetNet: A Neural Weather Model for Precipitation Forecastingcited by 131
  8. 2023PreDiff: Precipitation Nowcasting with Latent Diffusion Modelscited by 98
  9. 2023Deep Learning for Day Forecasts from Sparse Observationscited by 72
  10. 2023DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcastingcited by 61
  11. 2024CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modellingcited by 56
  12. 2025Computationally-efficient deep learning models for nowcasting of precipitation: A solution for the Weather4cast 2025 challengecited by 1

Built on by

Not cited yet.