Water resource management
Researchers Develop Novel Approach for Data Assimilation in Snow Hydrology
A team of researchers at the CIMA Research Foundation has developed a novel approach for data assimilation in snow hydrology using Long Short-Term Memory (LSTM) networks. This approach aims to improve the accuracy of snow water equivalent and snow depth estimates while reducing computational demands. The research, published in The