paper
2021
Post-processing & calibration
Applications & impacts Application study
Classical ML (trees, GP, linear, kernels)3–15 days Journal
2021-07-07
012
Jul 2021
Junliang Fan, Lifeng Wu, Jing Zheng et al.
Journal of Hydrology
XGBoost downscales NWP outputs to medium-range daily reference evapotranspiration across China, a weather-derived quantity for water and agriculture planning.
Medium-range forecasting of daily reference evapotranspiration across China using numerical weather prediction outputs downscaled by extreme gradient boosting
In one sentence. XGBoost downscales NWP outputs to medium-range daily reference evapotranspiration across China, a weather-derived quantity for water and agriculture planning.
Labels
- Topic
- Post-processing & calibration, Applications & impacts
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 3–15 days
- Domain
- Regional
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1016/j.jhydrol.2021.126664 OpenAlex:W3181049857
- Added
- 2026-10-22
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