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2026
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| Online Access: | https://doi.org/10.5281/zenodo.18146062 |
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| _version_ | 1866901590804267008 |
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| author | Ye, Yuankang |
| author_facet | Ye, Yuankang |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18146062 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Improving Precipitation Nowcasting via Multiphysical Parameter Fusion in Radar Echo Extrapolation Ye, Yuankang <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> |
| title | Improving Precipitation Nowcasting via Multiphysical Parameter Fusion in Radar Echo Extrapolation |
| url | https://doi.org/10.5281/zenodo.18146062 |