5 citations · 7 across the 3 of their papers we have counts for
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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…
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…