paper
2023
Sub-seasonal to seasonal
New model or method
RNN / LSTM / ConvLSTMCNN / U-NetClassical ML (trees, GP, linear, kernels)Seasonal to annual Journal
2023-05-12
016
May 2023
Yong Wang, Yiming Zhang, Yiming Zhang et al.
Information Sciences
Proposes an attention-enhanced ConvLSTM with genetic-algorithm model recombination to forecast ENSO using CMIP5/6 simulations. No abstract was provided.
Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6
In one sentence. Proposes an attention-enhanced ConvLSTM with genetic-algorithm model recombination to forecast ENSO using CMIP5/6 simulations. No abstract was provided.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- New model or method
- Method
- RNN / LSTM / ConvLSTM, CNN / U-Net, Classical ML (trees, GP, linear, kernels)
- Time scale
- Seasonal to annual
- Domain
- Global
- Data
- CMIP / climate model output
- Status
- Research
- Identifiers
- DOI:10.1016/j.ins.2023.119106 OpenAlex:W4376279928
- Added
- 2026-10-22
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