Skip to main content
Journal cover image

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

Publication ,  Journal Article
Smith, T; Hayes, K; Marshall, L; McGlynn, B; Jencso, K
Published in: Hydrological Processes
December 30, 2016

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. Copyright © 2016 John Wiley & Sons, Ltd.

Duke Scholars

Published In

Hydrological Processes

DOI

EISSN

1099-1085

ISSN

0885-6087

Publication Date

December 30, 2016

Volume

30

Issue

26

Start / End Page

5027 / 5038

Related Subject Headings

  • Environmental Engineering
  • 4005 Civil engineering
  • 3709 Physical geography and environmental geoscience
  • 3707 Hydrology
  • 0907 Environmental Engineering
  • 0905 Civil Engineering
  • 0406 Physical Geography and Environmental Geoscience
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Smith, T., Hayes, K., Marshall, L., McGlynn, B., & Jencso, K. (2016). Diagnostic calibration and cross-catchment transferability of a simple process-consistent hydrologic model. Hydrological Processes, 30(26), 5027–5038. https://doi.org/10.1002/hyp.10955
Smith, T., K. Hayes, L. Marshall, B. McGlynn, and K. Jencso. “Diagnostic calibration and cross-catchment transferability of a simple process-consistent hydrologic model.” Hydrological Processes 30, no. 26 (December 30, 2016): 5027–38. https://doi.org/10.1002/hyp.10955.
Smith T, Hayes K, Marshall L, McGlynn B, Jencso K. Diagnostic calibration and cross-catchment transferability of a simple process-consistent hydrologic model. Hydrological Processes. 2016 Dec 30;30(26):5027–38.
Smith, T., et al. “Diagnostic calibration and cross-catchment transferability of a simple process-consistent hydrologic model.” Hydrological Processes, vol. 30, no. 26, Dec. 2016, pp. 5027–38. Scopus, doi:10.1002/hyp.10955.
Smith T, Hayes K, Marshall L, McGlynn B, Jencso K. Diagnostic calibration and cross-catchment transferability of a simple process-consistent hydrologic model. Hydrological Processes. 2016 Dec 30;30(26):5027–5038.
Journal cover image

Published In

Hydrological Processes

DOI

EISSN

1099-1085

ISSN

0885-6087

Publication Date

December 30, 2016

Volume

30

Issue

26

Start / End Page

5027 / 5038

Related Subject Headings

  • Environmental Engineering
  • 4005 Civil engineering
  • 3709 Physical geography and environmental geoscience
  • 3707 Hydrology
  • 0907 Environmental Engineering
  • 0905 Civil Engineering
  • 0406 Physical Geography and Environmental Geoscience