Diagnostic calibration and cross-catchment transferability of a simple process-consistent hydrologic model

Tyler Smith, Kaitlin Hayes, Lucy Marshall, Brian McGlynn, Kelsey Jencso

Research output: Contribution to journalArticlepeer-review

Abstract

The transferability of hydrologic models is of ever increasing importance for making improved hydrologic predictions and testing hypothesized hydrologic drivers. Here, we present an investigation into the variability and transferability of the recently introduced catchment connectivity model (Smith et al.,). The catchment connectivity model was developed following extensive experimental observations identifying the key drivers of streamflow in the Tenderfoot Creek Experimental Forest (Jencso et al., Jencso et al.,), with the goal of creating a simple model consistent with internal observations of catchment hydrologic connectivity patterns. The model was applied across seven catchments located within Tenderfoot Creek Experimental Forest to investigate spatial variability and transferability of model performance and parameterization. The results demonstrated that the model resulted in historically good fits (based on previous studies at the sites) to both the hydrograph and internal water table dynamics (corroborated with experimental observations). The impact of a priori parameter limits was also examined. It was observed that enforcing field-based limits on model parameters resulted in slight reductions to streamflow hydrograph fits, but significant improvements to model process fidelity (as hydrologic connectivity), as well as moderate improvement in the transferability of model parameterizations from one catchment to the next.

Original languageEnglish
Pages (from-to)5027-5038
Number of pages12
JournalHydrological Processes
Volume30
Issue number26
DOIs
StatePublished - Dec 30 2016

Keywords

  • calibration
  • catchment
  • connectivity
  • model
  • regional
  • transferability

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