paper
2020
Downscaling & super-resolution
Post-processing & calibration Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)3–15 days Other
2020-11-23
008
Nov 2020
Smit Chetan Doshi, Tirthankar Roy
preprint
Feedforward neural networks statistically downscale GEFS precipitation forecasts, assessing which predictors matter at each lead time up to 16 days.
Downscaling & super-resolution
Assessment of predictability in Downscaling GEFS Precipitation Forecasts
In one sentence. Feedforward neural networks statistically downscale GEFS precipitation forecasts, assessing which predictors matter at each lead time up to 16 days.
Labels
- Topic
- Downscaling & super-resolution, Post-processing & calibration
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 3–15 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1002/essoar.10504937.1 OpenAlex:W3109044207
- Added
- 2026-10-22
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