paper
2020
Sub-seasonal to seasonal
New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2020-12-09
012
Dec 2020
Chao Wang, Wei Zhang, Gabriele Villarini
Journal of Hydrology
Convolutional Gaussian processes are applied to improve seasonal forecasts of precipitation and temperature, targeting meteorological rather than hydrological variables.
On the use of convolutional Gaussian processes to improve the seasonal forecasting of precipitation and temperature
In one sentence. Convolutional Gaussian processes are applied to improve seasonal forecasts of precipitation and temperature, targeting meteorological rather than hydrological variables.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Regional
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1016/j.jhydrol.2020.125862 OpenAlex:W3112880004
- Added
- 2026-10-22
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