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Building Confidence in Hydrologic Models
Published: January 25, 2017
Posted: September 05, 2017

Model intercomparison project evaluates performance of seven different integrated hydrology models for solving challenge benchmarks.

The Science 
Understanding water availability and quality for large-scale surface and groundwater systems requires simulation and many numerical models have been developed by scientists to address these needs. A suite of common hydrologic benchmark challenges was developed and seven different modeling teams from the U.S. and Europe exercised their models to achieve the benchmarks to  better understand how each of the models and model outputs agree and differ.

The Impact
Model intercomparison benchmark challenges build confidence in the choice of model used for a specific scientific question or application and they illuminate the implications of model choice because they force modeling teams to better understand the strengths and weaknesses of their own and competing models. This understanding leads to more reliable simulations and improves integrated hydrologic modeling.

Following up on a first integrated hydrologic model intercomparison project several years ago, seven teams of modelers, including two teams supported by the Interoperable Design for Extreme-scale Application Software (IDEAS) project, participated in a second intercomparison project. Teams met at a workshop in Bonn, Germany, and designed a series of three model intercomparison benchmark challenges. The challenges were designed to focus on different aspects of integrated hydrology, including a hillslope-scale catchment, subsurface structural inclusions and layering, and a field study of hydrology on a small ditch with simple but data-informed topography. Parameters were standardized, but each team used their own model, including differences in model physics, coupling, and algorithms. Results were collected, stimulating detailed conversations to explain similarities and differences across the suite of models. While each of the codes share a common underlying core capability, they are focused on different applications and scales, and have their own strengths and weaknesses. This type of effort leads to improvement in all the codes, and improves the modeling community’s understanding of simulating integrated surface and groundwater systems hydrology.

Ethan Coon
Oak Ridge National Laboratory

Reed Maxwell
Colorado School of Mines

Funding was provided by the DOE Office of Biological and Environmental Research, Subsurface Biogeochemistry Research (SBR) activity to the Interoperable Design for Extreme-scale Application Software (IDEAS) project.

S. Kollet, M. Sulis, R.M. Maxwell, C. Paniconi, M. Putti, G. Bertoldi, E.T. Coon, E. Cordano, S. Endrizzi, E. Kikinzon, E. Mouche, C. Mugler, Y.-J. Park, J.C. Refsgaard, S. Stisen, and E. Sudicky. “The integrated hydrologic model intercomparison project, IH-MIP2: A second set of benchmark results to diagnose integrated hydrology and feedbacks.” Water Resour. Res., 53, 867-890. (2017). [DOI: 10.1002/2016WR019191.] (Reference link)

Topic Areas:

  • Research Area: Subsurface Biogeochemical Research

Division: SC-23.1 Climate and Environmental Sciences Division, BER


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