paper
2022
Sub-seasonal to seasonal
Local & station forecasting Application study
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2022-07-18
008
Jul 2022
А.S. Lubkov, E. N. Voskresenskaya, Olga Sukhonos
Water Resources
Neural network using global climate indices forecasts monthly and seasonal precipitation in Crimea up to six months ahead, with about 55–62% forecast quality.
Forecast of Precipitation in Ai-Petri Area Based on Artificial Neuron Network Model
In one sentence. Neural network using global climate indices forecasts monthly and seasonal precipitation in Crimea up to six months ahead, with about 55–62% forecast quality.
Labels
- Topic
- Sub-seasonal to seasonal, Local & station forecasting
- Type
- Application study
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Local / station
- Data
- ERA5 / reanalysis, Other
- Status
- Research
- Identifiers
- DOI:10.1134/s0097807822040133 OpenAlex:W4285728043
- Added
- 2026-10-22
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