paper
2023
Nowcasting
New model or method
Transformer / ViT0–6 h Preprint
2023-03-08
008
Mar 2023
Li, Dawei
Zenodo (CERN European Organization for Nuclear Research)
Res is a lightweight transformer for quantitative precipitation nowcasting on remote sensing data; only source code is released while the manuscript is under review.
Res: A lightweight Deep Learning model for Quantitative Precipitation Nowcasting Based on New Transformer Customized for Remote Sensing Data
In one sentence. Res is a lightweight transformer for quantitative precipitation nowcasting on remote sensing data; only source code is released while the manuscript is under review.
Labels
- Topic
- Nowcasting
- Type
- New model or method
- Method
- Transformer / ViT
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.5281/zenodo.7708534 OpenAlex:W4323557166
- Added
- 2026-10-22
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