paper
2020
Post-processing & calibration
Local & station forecasting New model or method
RNN / LSTM / ConvLSTMClassical ML (trees, GP, linear, kernels)6 h–3 days Journal
2020-11-26
012
Nov 2020
Neethu Madhukumar, Eric Wang, Yifan Zhang et al.
IEEE Internet of Things Journal
A hybrid model selects the best climate model forecast with a probabilistic MLP, then uses a deep LSTM to produce next-day rainfall in Australian climate zones.
Consensus Forecast of Rainfall Using Hybrid Climate Learning Model
In one sentence. A hybrid model selects the best climate model forecast with a probabilistic MLP, then uses a deep LSTM to produce next-day rainfall in Australian climate zones.
Labels
- Topic
- Post-processing & calibration, Local & station forecasting
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, Classical ML (trees, GP, linear, kernels)
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- NWP analysis or forecasts (IFS, GFS, ...), Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1109/jiot.2020.3040736 OpenAlex:W3107939130
- Added
- 2026-10-22
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