paper
2022
Extremes & hazards
Nowcasting Review, survey or tutorial
CNN / U-NetClassical ML (trees, GP, linear, kernels)0–6 h Journal
2022-01-01
008
Jan 2022
Indrakishor, Manish Kumar, Muskan et al.
Industrial Engineering Journal
Reviews a CNN and data-mining based real-time cloudburst prediction system motivated by the 2023 Sikkim flood; no quantitative results reported.
Application of Cloudburst Prediction System: A Review
In one sentence. Reviews a CNN and data-mining based real-time cloudburst prediction system motivated by the 2023 Sikkim flood; no quantitative results reported.
Labels
- Topic
- Extremes & hazards, Nowcasting
- Type
- Review, survey or tutorial
- Method
- CNN / U-Net, Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Local / station
- Data
- Other
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.36893/iej.2022.v51i7.032-037 OpenAlex:W4389693070
- Added
- 2026-10-22
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