paper
2023
Sub-seasonal to seasonal
Benchmark or dataset
Graph neural networkRNN / LSTM / ConvLSTMSeasonal to annual Preprint
2023-03-14
004
Mar 2023
Jahnavi Jonnalagadda
Zenodo (CERN European Organization for Nuclear Research)
Zenodo dataset release accompanying an adaptive graph convolutional recurrent network for ENSO forecasting; the abstract only describes the data.
An Adaptive Graph Convolutional Recurrent Neural Network for ENSO forecasting
In one sentence. Zenodo dataset release accompanying an adaptive graph convolutional recurrent network for ENSO forecasting; the abstract only describes the data.
Abstract
Data for paper titled "An Adaptive Graph Convolutional Recurrent Neural Network for ENSO forecasting" submitted for review in Applied Artificial Intelligence.
Labels
- Topic
- Sub-seasonal to seasonal
- Type
- Benchmark or dataset
- Method
- Graph neural network, RNN / LSTM / ConvLSTM
- Time scale
- Seasonal to annual
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.5281/zenodo.7734594 OpenAlex:W4324260519
- Added
- 2026-10-22
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