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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18146062 |
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Table of Contents:
- <p>This repository provides the official implementation of PIEE, a multimodal deep learning framework for precipitation nowcasting based on polarimetric radar observations. It contains the complete training/evaluation pipeline (Experiment/Code), the core preprocessing script for the publicly available GridRad-Severe dataset (Original data processing code/gridrad.py; <a href="https://doi.org/10.5065/2B46-1A97" target="_new" rel="noopener">https://doi.org/10.5065/2B46-1A97</a>), the pretrained model checkpoint (Experiment/saved_model), and the corresponding runtime environment specification (environment.yml), thereby supporting reproducibility without redistributing the raw data.</p>