Catchment Scale Processes
Catchment scale refers to areas of study on the order of 103-105 meters.
Our investigations at the catchment scale include:
- Catchment co-evolution
- Catchment classification
- System-scale signatures
- Process-based modeling
- machine learning
Current Research Projects
Machine Learning Across Climates
Hannah (former MS student) used machine learning methods to analyze streamflow recession patterns across the variety of climates found in the continental US. A paper based on her MSc thesis is under review with Water Resources Research.
Beaver Creek Modeling
Our group is improving cold season streamflow predictions for Beaver Creek, AZ. Existing model structures show significant negative bias for wet winter streamflow. This project is funded by Salt River Project.
Colorado River at Moab, UT
Through Department of Energy funding, our group collaborates with Dr. Pieter Hazenberg's group of Florida International University to model groundwater-surface water interactions along a reach of the Colorado River near Moab, UT. This study will inform aquatic ecosystems protection measures to mitigate effects of uranium and ammonia pollution.
Recently Completed Research Projects
Learning From The Machine
Minseok (former Postdoc) used machine learning to characterize streamflow recession patterns and unify event-based and central tendency approaches.