paper
2020
Downscaling & super-resolution
Evaluation or intercomparison of existing models
CNN / U-Net Journal
2020-01-01
012
Jan 2020
Takeyoshi Nagasato, Kei Ishida, Makoto UEDA et al.
Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering)
Examines how CNN precipitation downscaling from atmospheric fields depends on input domain, pressure levels and variables. Finds more inputs do not always improve basin rainfall accuracy.
Downscaling & super-resolution
CHARACTERISTICS OF PRECIPITATION DOWNSCALING BY MEANS OF DEEP LEARNING METHOD
In one sentence. Examines how CNN precipitation downscaling from atmospheric fields depends on input domain, pressure levels and variables. Finds more inputs do not always improve basin rainfall accuracy.
Labels
- Topic
- Downscaling & super-resolution
- Type
- Evaluation or intercomparison of existing models
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- ERA5 / reanalysis
- Status
- Research
- Identifiers
- DOI:10.2208/jscejhe.76.2_i_373 OpenAlex:W3216265328
- Added
- 2026-10-22
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