Abstract: Groundwater supports one-third of the world’s population and provides 42% of the agricultural water supply. Global groundwater depletion has accelerated in recent decades, reducing our resilience to severe and prolonged droughts. In this talk, I will provide an overview of data driven approaches to understand groundwater lag time and recovery to droughts across the Continental US. Next, I will focus on physically-based modeling
approaches for characterizing groundwater recharge in high-elevation mountainous critical zones using multiple types of observations to constrain model parameters and improve model performance. Finally, I highlight emerging research areas in hydrologic sciences that could benefit from data science research.
Bio: Dr. Hoori Ajami is an Associate Professor of Groundwater Hydrology in the Department of Environmental Sciences at University of California, Riverside. Dr. Ajami’s expertise is in surface water-groundwater interactions, climate change impact assessment, integrated hydrologic modeling, spatial analysis, and remote sensing. Her research focuses on characterizing surface water-groundwater- atmospheric interactions in the mountain-valley aquifer systems, developing computationally efficient hydrologic models, and application of remote sensing and isotopic data in characterizing hydrologic cycle. She received her PhD in Hydrology from the University of Arizona, and she was a postdoctoral fellow at the University of New South Wales Australia prior to joining UCR.
Abstract: Groundwater supports one-third of the world’s population and provides 42% of the agricultural water supply. Global groundwater depletion has accelerated in recent decades, reducing our resilience to severe and prolonged droughts. In this talk, I will provide an overview of data driven approaches to understand groundwater lag time and recovery to droughts across the Continental US. Next, I will focus on physically-based modeling
approaches for characterizing groundwater recharge in high-elevation mountainous critical zones using multiple types of observations to constrain model parameters and improve model performance. Finally, I highlight emerging research areas in hydrologic sciences that could benefit from data science research.
Bio: Dr. Hoori Ajami is an Associate Professor of Groundwater Hydrology in the Department of Environmental Sciences at University of California, Riverside. Dr. Ajami’s expertise is in surface water-groundwater interactions, climate change impact assessment, integrated hydrologic modeling, spatial analysis, and remote sensing. Her research focuses on characterizing surface water-groundwater- atmospheric interactions in the mountain-valley aquifer systems, developing computationally efficient hydrologic models, and application of remote sensing and isotopic data in characterizing hydrologic cycle. She received her PhD in Hydrology from the University of Arizona, and she was a postdoctoral fellow at the University of New South Wales Australia prior to joining UCR.