paper
2021
Post-processing & calibration
New model or method
Classical ML (trees, GP, linear, kernels)3–15 days Journal
2021-02-09
012
Feb 2021
Morteza Zarei, Mohsen Najarchi, Reza Mastouri
Earth Science Informatics
Random forest bias-corrects global ensemble precipitation forecasts; the abstract is missing, so this rests on the title alone.
Bias correction of global ensemble precipitation forecasts by Random Forest method
In one sentence. Random forest bias-corrects global ensemble precipitation forecasts; the abstract is missing, so this rests on the title alone.
Labels
- Topic
- Post-processing & calibration
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 3–15 days
- Domain
- Global
- Data
- NWP analysis or forecasts (IFS, GFS, ...)
- Status
- Research
- Identifiers
- DOI:10.1007/s12145-021-00577-7 OpenAlex:W3127395088
- Added
- 2026-10-22
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