Two statistics for evaluating parameter identifiability and error reduction

Doherty, John; Hunt, Randall J.

doi:10.1016/j.jhydrol.2008.12.018

Cited by 141 publications

(149 citation statements)

References 23 publications

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“…As a result, potential problems can arise from choices of model simplification when the surface-water system is coupled to the groundwater system. Appropriate determination of salient simplification is especially important because only a small subset of the many parameters that may be employed by a surfacewater (or coupled) model can be estimated on the basis of most streamflow calibration datasets (see, for example, Beven and Freer, 2001;Doherty and Hunt, 2009). There also may be concerns with surface-water datasets that contain measurement noise and redundant information because these types of datasets commonly include many more observations than a groundwater dataset-especially with respect to the temporal density of the observations (for example, Hunt and others, 2009).…”

Section: Considerations For Coupled Groundwater/ Surface-water Model mentioning

confidence: 99%

Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin

Hunt¹,

Walker²,

Selbig³

et al. 2013

Scientific Investigations Report

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For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment, visit http://www.usgs.gov or call 1-888-ASK-USGS.For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprodTo order this and other USGS information products, visit http://store.usgs.gov Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this information product, for the most part, is in the public domain, it also may contain copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner.Suggested citation: Hunt, R.J., Walker, J.F., Selbig, W.R., Westenbroek, S.M., and Regan, R.S., 2013, Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Water- The terms "altitude" and "elevation," as used in this report, refer to distance above the vertical datum. Simulation of Climate-Change Effects on AbstractAlthough groundwater and surface water are considered a single resource, historically hydrologic simulations have not accounted for feedback loops between the groundwater system and other hydrologic processes. These feedbacks include timing and rates of evapotranspiration, surface runoff, soil-zone flow, and interactions with the groundwater system. Simulations that iteratively couple the surface-water and groundwater systems, however, are characterized by long run times and calibration challenges. In this study, calibrated, uncoupled transient surface-water and steady-state groundwater models were used to construct one coupled transient groundwater/surface-water model for the Trout Lake Watershed in north-central Wisconsin, USA. The computer code GSFLOW (Groundwater/Surface-water FLOW) was used to simulate the coupled hydrologic system; a surface-water model represented hydrologic processes in the atmosphere, at land surface, and within the soil-zone, and a groundwater-flow model represented the unsaturated zone, saturated zone, stream, and lake budgets. The coupled GSFLOW model was calibrated by using heads, streamflows, lake levels, actual evapotranspiration rates, solar radiation, and snowpack measurements collected during water years 1998-2007; calibration was performed by using advanced features present in the PEST parameter estimation software suite.Simulated streamflows from the calibrated GSFLOW model and other basin characteristics were used as input to the one-dimensional SNTEMP (Stream-Network TEMPerature) model to simulate daily stream temperature in selected tributaries in the watershed. The temperature model was calibrated to high-resolution stream temperature time-series data measured in 2002. The calibrated GSFLOW and SNTEMP models were then used to simulate effects of potential climate change for the period extending to the year 2100. An ensemble of climate mod...

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Section: Considerations For Coupled Groundwater/ Surface-water Model mentioning

confidence: 99%

Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin

Hunt¹,

Walker²,

Selbig³

et al. 2013

Scientific Investigations Report

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“…Parameter identifiability (Doherty and Hunt 2009) is a qualitative statistic from parameter estimation that reflects how well a given parameter can be constrained by a given or hypothetical observation dataset. Identifiability values indicate that many of the pilot points, especially those near the major highways and population centers in the model, were informed by observations in the calibration dataset.…”

Section: Calibration Results and Discussionmentioning

confidence: 99%

Groundwater/surface-water interactions in the Bad River Watershed, Wisconsin

Leaf¹,

Fienen²,

Hunt³

et al. 2015

Scientific Investigations Report

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“…The sensitivities of a parameter represent the amount of change in the model-simulated values per unit change in a parameter's value (Poeter and Hill, 1997). Parameter identifiability represents the calibration dataset's ability to constrain model parameters (Doherty and Hunt, 2009), and it is usually obtained through SVD of the weighted Jacobian matrix calculated based on initial parameter values (Necpálová et al, 2015). The premise is that the parameter space of a model can be properly decomposed into an orthogonal calibration solution space and calibration null space (Moore and Doherty, 2005).…”

Section: Parameter Correlation Sensitivity and Identifiabilitymentioning

confidence: 99%