Using Multi-scale Attention Convolutional Long Short-Term Memory model to predict the water use efficiency
Abstract
The code is mainly used to establish the connection between historical data and future scenario data, so as to predict the future ecosystem water use efficiency. Note that the row and column numbers of input data are consistent. The input data uses a unified projection coordinate system.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 30 June 2026