Treffer: A hybrid process-data driven framework for real-time hydrological forecasting with interpretable deep learning
Title:
A hybrid process-data driven framework for real-time hydrological forecasting with interpretable deep learning
Authors:
Zhu, Feilin a, ⁎, Zhu, Ou a, Han, Mingyu a, Liu, Weifeng b, Guo, Xuning b, Hou, Tiantian a, Zhao, Lingqi a, Xu, Chengjing a, Zhong, Ping-an a
Source:
In Journal of Hydrology December 2025 662 Part C
Database:
ScienceDirect