Zeng studies feedback between human activities and the land surface hydrologic cycle using modeling, remote sensing and data-driven methods in complex systems with multiple interactions.
Xu focuses on enhancing water resources systems and groundwater flow, transport and interaction predictions with process-based models, machine and deep-learning and satellite remote sensing.
Wang studies land-atmosphere interactions in a changing climate, turbulent transport and the urban heat island through analysis, models and measurements of anthropogenic stressors effect on the urban hydrological cycle.
Mascaro integrates hydrology, climate and atmospheric science techniques to support sustainable infrastructure design by combining advanced statistical techniques and numerical models of Earth’s climate and hydrologic cycle.
Garcia investigates design and policy impacts on water infrastructure systems performance by analyzing feedback in human-hydrological systems, assessing design choices and informing decision making.