Research

We investigate the response of watersheds and vegetation to compound heat-drought events. By connecting water-balance modeling with environmental observations, we identify vulnerable regions and examine the effects of extremes on root-zone water storage and heat risk.

Our research links infiltration and runoff processes with evapotranspiration, vegetation water use, and biogeochemical dynamics. Work spans layered soils, Mediterranean-climate forests, and mountain catchments, combining process-based models with field observations.

We integrate remote sensing and ground-based measurements to estimate precipitation, map snow water equivalent, and detect the rain-snow transition. Wireless sensor networks and IoT-based soil monitoring connect local measurements to catchment-scale understanding.

We explore deep learning, time-series foundation models, and data assimilation for hydrological and water-quality prediction. Applications include nitrogen forecasting under data scarcity and snowpack estimation supported by ground observations.

We study river-lake connectivity, human-water relationships, and the capacity of regional water resources to support development. This work connects hydrological processes with environmental management and the effects of human activities.