paper
2022
Local & station forecasting
New model or method
CNN / U-NetRNN / LSTM / ConvLSTMSeasonal to annual Other
2022-12-04
008
Dec 2022
Yang Li, Siyuan Huo, Bin Ma et al.
preprint
CNN-Bi-LSTM with spatiotemporal clustering forecasts precipitation delta-18O at 10 German stations, performing best for multi-site multi-year forecasts.
Multi-site and multi-year precipitation isotope δ18O forecasting using CNN, Bi-LSTM, CNN-Bi-LSTM, and spatiotemporal clustering
In one sentence. CNN-Bi-LSTM with spatiotemporal clustering forecasts precipitation delta-18O at 10 German stations, performing best for multi-site multi-year forecasts.
Labels
- Topic
- Local & station forecasting
- Type
- New model or method
- Method
- CNN / U-Net, RNN / LSTM / ConvLSTM
- Time scale
- Seasonal to annual
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Research
- Identifiers
- DOI:10.1002/essoar.10512988.1 OpenAlex:W4311529524
- Added
- 2026-10-22
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