5 citations · 7 across the 3 of their papers we have counts for
3 papers
physics.geo-ph2026
HydroAgent: Formalizing Forecaster Expertise into Skill-Orchestrated Flood Forecasting Workflows
Qingyi Yang, Siqian Qiu, Bing Li +20
Operational flood forecasting depends on tacit forecaster expertise that is difficult to formalize, audit, and transfer. Although artificial intelligence methods have advanced floo…
cs.LG2021★ 5 cited
High-resolution rainfall-runoff modeling using graph neural network
Zhongrun Xiang, Ibrahim Demir
Time-series modeling has shown great promise in recent studies using the latest deep learning algorithms such as LSTM (Long Short-Term Memory). These studies primarily focused on w…
physics.geo-ph2020★ 2 cited
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
Muhammed Sit, Bekir Z. Demiray, Zhongrun Xiang +3
The global volume of digital data is expected to reach 175 zettabytes by 2025. The volume, variety, and velocity of water-related data are increasing due to large-scale sensor netw…