Step Wise, Multiple Objective Calibration of a Hydrologic Model for a Snowmelt Dominated Basin

Hay, Lauren; Leavesley, George H.; Clark, Martyn P.; Markstrom, Steven L.; Viger, Roland J.; Umemoto, Makiko

doi:10.1111/j.1752-1688.2006.tb04501.x

Cited by 110 publications

(78 citation statements)

References 23 publications

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“…Results from these individual streamgage calibrations quantified the best performance of the MWBM at each gage, providing a baseline measure for evaluation. The Shuffled Complex Evolution (SCE) global-search optimization algorithm (Duan et al, 1993) has been frequently used as an optimization algorithm in hydrologic studies (Hay et al, 2006;Blasone et al, 2007;Arnold et al, 2012), including previous studies with the MWBM (Hay and McCabe, 2010). Further details can be found in Duan et al (1993).…”

Section: Individual Streamgage Calibrationmentioning

confidence: 99%

Parameter regionalization of a monthly water balance model for the conterminous United States

Bock

Hay

McCabe

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. A parameter regionalization scheme to transfer parameter values from gaged to ungaged areas for a monthly water balance model (MWBM) was developed and tested for the conterminous United States (CONUS). The Fourier Amplitude Sensitivity Test, a global-sensitivity algorithm, was implemented on a MWBM to generate parameter sensitivities on a set of 109 951 hydrologic response units (HRUs) across the CONUS. The HRUs were grouped into 110 calibration regions based on similar parameter sensitivities. Subsequently, measured runoff from 1575 streamgages within the calibration regions were used to calibrate the MWBM parameters to produce parameter sets for each calibration region. Measured and simulated runoff at the 1575 streamgages showed good correspondence for the majority of the CONUS, with a median computed Nash-Sutcliffe efficiency coefficient of 0.76 over all streamgages. These methods maximize the use of available runoff information, resulting in a calibrated CONUS-wide application of the MWBM suitable for providing estimates of water availability at the HRU resolution for both gaged and ungaged areas of the CONUS.

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Section: Individual Streamgage Calibrationmentioning

confidence: 99%

Parameter regionalization of a monthly water balance model for the conterminous United States

Bock

Hay

McCabe

et al. 2016

Hydrol. Earth Syst. Sci.

Self Cite

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“…Markstrom and Hay [30] (2009) used the model to investigate watershed responses to climate change. Hay et al [31] applied PRMS to a snowmelt-dominant watershed. Hay et al [32] and Christiansen et al [33] evaluated climate change impacts on rainfall runoff by PRMS model simulations.…”

Section: Hydrologic Model Descriptionsmentioning

confidence: 99%

Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Subbasin of the Heihe River Basin

Fei

Huang

Cai

et al. 2017

Water

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Abstract:The Precipitation-Runoff Modeling System (PRMS) has been applied to simulate rainfall runoff in Zamask-Yingluoxia subbasin of the Heihe River Basin in this study. By using observed data in the subbasin, the model has been calibrated by comparing model simulations of daily stream flow to observed data at Yinglouxia station for the period of summer in 2004. Then model verification was conducted by keeping the same model parameters for the simulation of the period from 1 January 2003 to 31 December 2006. Results from model verification indicate that the model is able to provide good accuracy of simulations of daily rainfall runoff and river flow at Yinglouxia station, with a Nash-Sutcliffe Efficiency coefficient of 0.90 and the root-mean-square error of 15.7 m 3 /s. The error of maximum peak flow is 6.9 m 3 /s (1.8%) and the error of mean flow is 1.4 m 3 /s (2.5%). Comparing to previous studies, results indicate the improvement of model accuracy in simulations of daily rainfall runoff. The calibrated and verified hydrological model can be used to support flood hazard mitigations and water resource management in the Zamask-Yingluoxia subbasin.

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“…Figure 3 shows the OMS Calibration Process. The method we used in this study for GEOtop calibration was LUCa [29] presented in Appendix B. LUCa is a multiple-objective, stepwise, automated procedure based on the Shuffled Complex Evolution global search algorithm [30]. GEOtop parameters, parameter default values, and the hydraulic and geotechnical soil characteristics were also declared as OMS parameters to make them accessible for use by any OMS calibration algorithm.…”

Section: Goals Of Integrationmentioning

confidence: 99%

“…The LUCa calibration algorithm [29] in OMS is a multiple-objective, stepwise, automated procedure for model calibration. LUCa is based on two concepts: a search algorithm and the objective function(s) (OF) to evaluate model performance.…”

Section: Appendix Bmentioning

confidence: 99%

Integration of a Three-Dimensional Process-Based Hydrological Model into the Object Modeling System

Formetta

Capparelli

David

et al. 2016

Water

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Abstract:The integration of a spatial process model into an environmental modeling framework can enhance the model's capabilities. This paper describes a general methodology for integrating environmental models into the Object Modeling System (OMS) regardless of the model's complexity, the programming language, and the operating system used. We present the integration of the GEOtop model into the OMS version 3.0 and illustrate its application in a small watershed. OMS is an environmental modeling framework that facilitates model development, calibration, evaluation, and maintenance. It provides innovative techniques in software design such as multithreading, implicit parallelism, calibration and sensitivity analysis algorithms, and cloud-services. GEOtop is a physically based, spatially distributed rainfall-runoff model that performs three-dimensional finite volume calculations of water and energy budgets. Executing GEOtop as an OMS model component allows it to: (1) interact directly with the open-source geographical information system (GIS) uDig-JGrass to access geo-processing, visualization, and other modeling components; and (2) use OMS components for automatic calibration, sensitivity analysis, or meteorological data interpolation. A case study of the model in a semi-arid agricultural catchment is presented for illustration and proof-of-concept. Simulated soil water content and soil temperature results are compared with measured data, and model performance is evaluated using goodness-of-fit indices. This study serves as a template for future integration of process models into OMS.

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Step Wise, Multiple Objective Calibration of a Hydrologic Model for a Snowmelt Dominated Basin

Cited by 110 publications

References 23 publications

Parameter regionalization of a monthly water balance model for the conterminous United States

Parameter regionalization of a monthly water balance model for the conterminous United States

Application of Hydrological Model PRMS to Simulate Daily Rainfall Runoff in Zamask-Yingluoxia Subbasin of the Heihe River Basin

Integration of a Three-Dimensional Process-Based Hydrological Model into the Object Modeling System

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