paper
2023
Downscaling & super-resolution
Post-processing & calibration New model or method
CNN / U-NetSeasonal to annualInstitute of Atmospheric Physics, Chinese Academy of SciencesChina Meteorological Administration (CMA) Journal
2023-02-18
022
Feb 2023
Dangfu Yang, Shengjun Liu, Yamin Hu et al.
Advances in Atmospheric Sciences
Institute of Atmospheric Physics, Chinese Academy of Sciences, China Meteorological Administration (CMA)
Studies predictor selection for CNN-based statistical downscaling of monthly precipitation, aiming to improve regional precipitation fields from large-scale predictors.
Downscaling & super-resolution
Predictor Selection for CNN-based Statistical Downscaling of Monthly Precipitation
In one sentence. Studies predictor selection for CNN-based statistical downscaling of monthly precipitation, aiming to improve regional precipitation fields from large-scale predictors.
Labels
- Topic
- Downscaling & super-resolution, Post-processing & calibration
- Type
- New model or method
- Method
- CNN / U-Net
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1007/s00376-022-2119-x OpenAlex:W4321352841
- Added
- 2026-10-22
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