paper
2021
Sub-seasonal to seasonal
Local & station forecasting New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2021-06-24
008
Jun 2021
А.S. Lubkov, E. N. Voskresenskaya
Monitoring systems of environment
Neural network uses SST and SLP indices to forecast monthly precipitation for the Ai-Petri region up to 6 months ahead, with about 23–28% mean absolute deviation.
Neural network method for climate forecasting water content of the Chernorechensk reservoir
In one sentence. Neural network uses SST and SLP indices to forecast monthly precipitation for the Ai-Petri region up to 6 months ahead, with about 23–28% mean absolute deviation.
Labels
- Topic
- Sub-seasonal to seasonal, Local & station forecasting
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Local / station
- Data
- ERA5 / reanalysis, Other
- Status
- Research
- Identifiers
- DOI:10.33075/2220-5861-2021-2-16-28 OpenAlex:W3188249585
- Added
- 2026-10-22
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