Assessing long-term hydrological impact of climate change using an ensemble approach and comparison with global gridded model-A case study on Goodwater Creek Experimental Watershed

Sagar Gautam, Christine Costello, Claire Baffaut, Allen Thompson, Bohumil M. Svoma, Quang A. Phung, Edward J. Sadler

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Potential impacts of climate change on the hydrological components of the Goodwater Creek Experimental Watershed were assessed using climate datasets from the Coupled Model Intercomparison Project Phase 5 and Soil and Water Assessment Tool (SWAT). Historical and future ensembles of downscaled precipitation and temperature, and modeled water yield, surface runoff, and evapotranspiration, were compared. Ensemble SWAT results indicate increased springtime precipitation, water yield, surface runoff and a shift in evapotranspiration peak one month earlier in the future. To evaluate the performance of model spatial resolution, gridded surface runoff estimated by Lund-Potsdam-Jena managed Land (LPJmL) and Jena Diversity-Dynamic Global Vegetation model (JeDi-DGVM) were compared to SWAT. Long-term comparison shows a 6-8% higher average annual runoff prediction for LPJmL, and a 5-30% lower prediction for JeDi-DGVM, compared to SWAT. Although annual runoff showed little change for LPJmL, monthly runoff projection under-predicted peak runoff and over-predicted low runoff for LPJmL compared to SWAT. The reasons for these differences include differences in spatial resolution of model inputs and mathematical representation of the physical processes. Results indicate benefits of impact assessments at local scales with heterogeneous sets of parameters to adequately represent extreme conditions that are muted in global gridded model studies by spatial averaging over large study domains.

Original languageEnglish (US)
Article number564
JournalWater (Switzerland)
Volume10
Issue number5
DOIs
StatePublished - Apr 26 2018

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Geography, Planning and Development
  • Aquatic Science
  • Water Science and Technology

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