paper
2020
Sub-seasonal to seasonal
Local & station forecasting New model or method
Classical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2020-01-01
008
Jan 2020
Iqbal Hossain, H. M. Rasel, Fatemeh Mekanik et al.
International Journal of Water
Artificial neural networks using ENSO and IOD indices forecast seasonal spring rainfall at three Western Australian stations, with testing correlations up to 0.96.
Artificial neural network modelling technique in predicting Western Australian seasonal rainfall
In one sentence. Artificial neural networks using ENSO and IOD indices forecast seasonal spring rainfall at three Western Australian stations, with testing correlations up to 0.96.
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
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1504/ijw.2020.112711 OpenAlex:W4229582068
- Added
- 2026-10-22
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