paper
2022
Extremes & hazards
Nowcasting New model or method
CNN / U-Net0–6 hUniversity of Oklahoma (AI2ES) Journal
2022-02-09
022
Feb 2022
Taereem Kim, Tiantian Yang, Lujun Zhang et al.
Atmospheric Research
University of Oklahoma (AI2ES)
Uses CNN models on IMERG satellite precipitation to forecast near-real-time rainfall from hurricanes, targeting flood-relevant extreme rainfall.
Near real-time hurricane rainfall forecasting using convolutional neural network models with Integrated Multi-satellitE Retrievals for GPM (IMERG) product
In one sentence. Uses CNN models on IMERG satellite precipitation to forecast near-real-time rainfall from hurricanes, targeting flood-relevant extreme rainfall.
Labels
- Topic
- Extremes & hazards, Nowcasting
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1016/j.atmosres.2022.106037 OpenAlex:W4210854286
- Added
- 2026-10-22
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