paper
2023
Nowcasting
Explainability, uncertainty & physics New model or method
Transformer / ViT0–6 hColorado State University (incl. CIRA) Conference
2023-07-16
022
Jul 2023
K. Zhu, Hao-Nan Chen, Lei Han
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
Colorado State University (incl. CIRA)
Permutation tests and feature visualization show dual-polarization parameters Zdr and Kdp improve deep learning radar nowcasts beyond 30 minutes, especially for strong convection.
Physical Analysis of the Impact of Polarization Parameters on Deep-learning Networks for Nowcasting
In one sentence. Permutation tests and feature visualization show dual-polarization parameters Zdr and Kdp improve deep learning radar nowcasts beyond 30 minutes, especially for strong convection.
Labels
- Topic
- Nowcasting, Explainability, uncertainty & physics
- Type
- New model or method
- Method
- Transformer / ViT
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Radar
- Status
- Research
- Identifiers
- DOI:10.1109/igarss52108.2023.10282636 OpenAlex:W4387802576
- Added
- 2026-10-22
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