Post-docs and Students

Hoang Tran,

Postdoctoral Fellow

Hoang is a postdoctoral fellow working on the HydroFrame project ( Hoang studies flood simulations using ParFlow, and is particularly interested in how lateral groundwater flow impacts flood magnitude and distribution. 

Mary Michael Forrester,

PhD Candidate

Mary Michael uses physically-based numerical modeling to simulate hydrologic processes and connections to the land surface and lower atmosphere. Her research includes running the hydrologic model ParFlow, coupled to land surface and meteorological models in highly parallelized computing environments, to study how land disturbance and groundwater storage anomalies impact the surface turbulent fluxes and convective boundary layer. Understanding groundwater-land-atmosphere dynamics is an important step to improving hydrologic representation in weather and climate models and predicting future water resources under a changing climate.

Danielle Tijerina,

PhD Student

Danielle’s work addresses the challenge of evaluating large-scale hydrology models, through a common comparison framework and methodology. She has been part of the development of CHIP: Continental Hydrologic Intercomparison Project, which is a conceptual evaluation framework for large-scale, high-resolution, physically-based, hydrology models.

Anna Ryken,

PhD Candidate

The East River catchment is a representative headwater basin of the Colorado River, which in turn supplies the Southwest United States with water for energy, irrigation, and municipal use. Given that 85% of streamflow is generated in small, topographically-complex basins, more research is needed to understand nutrient and water cycling in these regions. Anna’s research in the East River focuses on better predicting water availability in these regions through improving snow models using sensitivity analysis as well as through model development of energy flux representation using a comparison of model simulations to field observations.

Lauren Thatch,

PhD Candidate

Lauren’s research combines integrated hydrologic modeling and remote sensing to evaluate and constrain groundwater depletion in the San Joaquin River Basin, a critical portion of California’s Central Valley. Using a fully integrated hydrologic model we can evaluate how water management activities, including groundwater extraction and irrigation, and climate variability, such as the recent historic drought, impact groundwater and surface water storage and interactions. Through the course of her PhD, Lauren will use this model to explore the vulnerabilities of various components of the food-energy-water nexus, including agricultural production, hydropower, and environmental demands; and evaluate how natural variability and changes in climate may impact the delicate balance between these systems.

Jackson Swilley,

MS Student

Jackson Swilley aims to improve subsurface representation in continental scale hydrologic models. Jackson builds and tests various conceptual configurations of the contiguous United States subsurface. More specifically, he is interested in better modeling of hydraulic conductivity and its vertical discretization in the US. To do this, Jackson tests hydraulic conductivity, depth to bedrock, and geologic model inputs. Model results are compared with observed historical data to determine which configuration will be ideal for future modeling work.