paper
2019
Nowcasting
Extremes & hazards New model or method
Classical ML (trees, GP, linear, kernels)0–6 hChina Meteorological Administration (CMA) Journal
2019-11-01
022
Nov 2019
Fenglin Sun, Danyu Qin, Min Min et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
China Meteorological Administration (CMA)
Nowcasts convective initiation 17-40 minutes ahead from FY-4A satellite data using optical flow and BP-AdaBoost, reaching detection probability 0.80 in South China.
Convective Initiation Nowcasting Over China From Fengyun-4A Measurements Based on TV-L 1 Optical Flow and BP_Adaboost Neural Network Algorithms
In one sentence. Nowcasts convective initiation 17-40 minutes ahead from FY-4A satellite data using optical flow and BP-AdaBoost, reaching detection probability 0.80 in South China.
Labels
- Topic
- Nowcasting, Extremes & hazards
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 0–6 h
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1109/jstars.2019.2952976 OpenAlex:W2996757245
- Added
- 2026-10-22
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