Thursday, October 05, 2017, 12:30PM - 1:30PM
PhD candidate, Johns Hopkins University
SEEC room S225
The sensitivity of catchment transit times to rainfall variability under present and future climates: A novel application of StorAge Selection functions
How do rainfall patterns influence the age of water that watersheds discharge to streams? What do the ages of stream water tell us about dominant watershed processes? Will stream water ages shift due to projected climate change? My PhD research combines hydrologic measurements, environmental tracer data, computer modeling, and downscaled climate projections to address these questions at several study sites. In the first part of the talk, I describe a relatively new theoretical approach to modeling the time-varying distribution of stream water ages (i.e., the catchment transit time distribution) using rank StorAge Selection (rSAS) functions. In the second part, I present case studies using rSAS functions, open-source field data, and the fully-distributed PARFLOW-CLM model with SLIM-FAST particle-tracking to understand the influence of rainfall variability on stream age at experimental catchments in Plynlimon, Wales and Mahantango Creek, PA.