paper
2018
Local & station forecasting
Evaluation or intercomparison of existing models
Classical ML (trees, GP, linear, kernels)6 h–3 days Journal
2018-04-14
008
Apr 2018
Ditiro B. Moalafhi, Piet Kebuang Kenabatho, Bhagabat Prasad Parida et al.
Biodiversity & Ecology
Artificial neural networks using new Botswana automated weather station data predict daily precipitation at four stations, but struggle with extreme events.
Predictability of daily precipitation using data from newly established automated weather stations over Notwane catchment in Botswana
In one sentence. Artificial neural networks using new Botswana automated weather station data predict daily precipitation at four stations, but struggle with extreme events.
Labels
- Topic
- Local & station forecasting
- Type
- Evaluation or intercomparison of existing models
- Method
- Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.7809/b-e.00304 OpenAlex:W2808055227
- Added
- 2026-10-22
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