paper
2023
Post-processing & calibration
Observations & remote sensing New model or method
CNN / U-Net6 h–3 days Journal
2023-06-05
012
Jun 2023
Chuyen Nguyen, Jason E. Nachamkin, David Sidoti et al.
Artificial Intelligence for the Earth Systems
UNet CNN fuses GOES-16 cloud observations with COAMPS forecasts to correct high-cloud forecasts at 3-12 h lead times, improving accuracy and sensitivity.
Machine Learning–Based Cloud Forecast Corrections for Fusions of Numerical Weather Prediction Model and Satellite Data
In one sentence. UNet CNN fuses GOES-16 cloud observations with COAMPS forecasts to correct high-cloud forecasts at 3-12 h lead times, improving accuracy and sensitivity.
Labels
- Topic
- Post-processing & calibration, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- 6 h–3 days
- Domain
- Regional
- Data
- Satellite, NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0072.1 OpenAlex:W4379383811
- Added
- 2026-10-22
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