Climate & resilience
Hydroclimatic extremes
Understanding how compound heat and drought reshape water availability, ecosystem vulnerability, and regional heat risk.
EHD LabEco-Hydro-Digital
Understanding water.
Connecting ecosystems.
Advancing prediction.
Exploring a changing water cycle through
observations, physical models, and AI.
About the lab
Water connects
the landscape.
We study how water, ecosystems, and a changing climate interact, from soil and roots to mountain watersheds.
Our research focuses on how water moves through soils, vegetation, and watersheds, and how these processes respond to environmental change. We combine field observations, remote sensing, physical models, and machine learning to study drought, mountain hydrology, and water quality.
Water & ecosystems
Ecohydrological modeling
Connecting soil, vegetation, and the atmosphere to understand how water moves through changing landscapes.
Sensing & observations
Multi-source data fusion
Bringing together satellite observations, wireless sensors, and models to resolve water-cycle processes across scales.
AI & environmental science
AI for water prediction
Using machine learning and foundation models to improve hydrological and water-quality forecasts when data are limited.
Science & decisions
Water resources management
Translating hydrological understanding into approaches for river connectivity, water allocation, and sustainable management.
Selected
publications
Publication list Time series foundation model Chronos enhances nitrogen forecasting under data scarcity
(2026). Water Research X, 30, 100469. DOI
(2024). Remote Sensing of Environment, 303, 114000. DOI
(2023). Journal of Hydrology: Regional Studies, 50, 101601. DOI
From the lab
News archiveFoundation models for nitrogen forecasting
Our study on the Chronos time-series foundation model appears in Water Research X, volume 30, following online publication in 2025.
Undergraduate research recognized in Guangdong
A supervised undergraduate team received third prize in the Zhaoqing special competition of the Guangdong Challenge Cup.
A new project on watershed water-quality dynamics
Work on variable-frequency monitoring of watershed water quality began in December 2024 under the National Key R&D Program of China.
Prospective students
I welcome inquiries from students and postdoctoral researchers interested in hydrology, remote sensing, and environmental AI. Please get in touch with your CV and research interests.
Joining the group