paper
2022
Local & station forecasting
Review, survey or tutorial
CNN / U-NetRNN / LSTM / ConvLSTM6 h–3 days Journal
2022-01-01
004
Jan 2022
Peter Okello
International Journal of Applied Data Science & Modern Computing
Reviews and proposes a hybrid CNN-LSTM pipeline for multi-step meteorological forecasting, reporting that it beats baselines on MAE, RMSE and R2.
Hybrid CNN–LSTM Models for Weather Forecasting
In one sentence. Reviews and proposes a hybrid CNN-LSTM pipeline for multi-step meteorological forecasting, reporting that it beats baselines on MAE, RMSE and R2.
Labels
- Topic
- Local & station forecasting
- Type
- Review, survey or tutorial
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Time scale
- 6 h–3 days
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.67228/30713498/ijadsmc-2022pii6x9j OpenAlex:W7171250383
- Added
- 2026-10-22
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