Research article
22 Nov 2016
Research article
| 22 Nov 2016
Towards simplification of hydrologic modeling: identification of dominant processes
Steven L. Markstrom et al.
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Cited
37 citations as recorded by crossref.
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- Leveraging ensemble meteorological forcing data to improve parameter estimation of hydrologic models H. Liu et al. 10.1002/hyp.14410
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- Information content of spatially distributed ground-based measurements for hydrologic-parameter calibration in mixed rain-snow mountain headwaters F. Avanzi et al. 10.1016/j.jhydrol.2019.124478
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37 citations as recorded by crossref.
- Spatiotemporal Variability of Modeled Watershed Scale Surface‐Depression Storage and Runoff for the Conterminous United States J. Driscoll et al. 10.1111/1752-1688.12826
- Hydrologic impacts of climate change in relation to Ontario’s source water protection planning program T. Livingston et al. 10.1139/cjce-2019-0649
- Global Sensitivity of Simulated Water Balance Indicators Under Future Climate Change in the Colorado Basin K. Bennett et al. 10.1002/2017WR020471
- A new multi-model absolute difference-based sensitivity (MMADS) analysis method to screen non-influential processes under process model and parametric uncertainty J. Yang & M. Ye 10.1016/j.jhydrol.2022.127609
- Process Interactions Can Change Process Ranking in a Coupled Complex System Under Process Model and Parametric Uncertainty J. Yang et al. 10.1029/2021WR029812
- PRMS-Python: A Python framework for programmatic PRMS modeling and access to its data structures J. Volk & M. Turner 10.1016/j.envsoft.2019.01.006
- Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box E. Borgonovo et al. 10.1002/2017WR020767
- Spatiotemporal Variability of Snow Depletion Curves Derived from SNODAS for the Conterminous United States, 2004-2013 J. Driscoll et al. 10.1111/1752-1688.12520
- A new process sensitivity index to identify important system processes under process model and parametric uncertainty H. Dai et al. 10.1002/2016WR019715
- Prioritizing river basins for intensive monitoring and assessment by the US Geological Survey P. Van Metre et al. 10.1007/s10661-020-08403-1
- The Abuse of Popular Performance Metrics in Hydrologic Modeling M. Clark et al. 10.1029/2020WR029001
- Climate elasticity of evapotranspiration shifts the water balance of Mediterranean climates during multi-year droughts F. Avanzi et al. 10.5194/hess-24-4317-2020
- Calibration of the US Geological Survey National Hydrologic Model in Ungauged Basins Using Statistical At-Site Streamflow Simulations W. Farmer et al. 10.1061/(ASCE)HE.1943-5584.0001854
- Calibration of a hydrologic model in data-scarce Alaska using satellite and other gridded products K. Schneider & T. Hogue 10.1016/j.ejrh.2021.100979
- Quantifying uncertainty in simulated streamflow and runoff from a continental-scale monthly water balance model A. Bock et al. 10.1016/j.advwatres.2018.10.005
- Leveraging ensemble meteorological forcing data to improve parameter estimation of hydrologic models H. Liu et al. 10.1002/hyp.14410
- Changes in Climate and Land Cover Affect Seasonal Streamflow Forecasts in the Rio Grande Headwaters C. Penn et al. 10.1111/1752-1688.12863
- Runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model G. Sexstone et al. 10.1002/hyp.13735
- A Fresh Look at Variography: Measuring Dependence and Possible Sensitivities Across Geophysical Systems From Any Given Data R. Sheikholeslami & S. Razavi 10.1029/2020GL089829
- Optimizing spatial distribution of watershed-scale hydrologic models using Gaussian Mixture Models T. Maurer et al. 10.1016/j.envsoft.2021.105076
- On the Sensitivity of the Precipitation Partitioning Into Evapotranspiration and Runoff in Land Surface Parameterizations H. Zheng et al. 10.1029/2017WR022236
- Modelling surface-water depression storage in a Prairie Pothole Region L. Hay et al. 10.1002/hyp.11416
- Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study S. Pool et al. 10.1029/2021WR030437
- Sensitivity Analysis‐Based Automatic Parameter Calibration of the VIC Model for Streamflow Simulations Over China J. Gou et al. 10.1029/2019WR025968
- Influence of multi-decadal land use, irrigation practices and climate on riparian corridors across the Upper Missouri River headwaters basin, Montana M. Vanderhoof et al. 10.5194/hess-23-4269-2019
- Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al. 10.5194/hess-22-2987-2018
- Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al. 10.1080/02626667.2022.2035388
- Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments B. Guse et al. 10.1016/j.jhydrol.2018.12.050
- Conceptual Framework of Connectivity for a National Agroecosystem Model Based on Transport Processes and Management Practices J. Arnold et al. 10.1111/1752-1688.12890
- Estimation of Base Flow by Optimal Hydrograph Separation for the Conterminous United States and Implications for National-Extent Hydrologic Models S. Foks et al. 10.3390/w11081629
- Information content of spatially distributed ground-based measurements for hydrologic-parameter calibration in mixed rain-snow mountain headwaters F. Avanzi et al. 10.1016/j.jhydrol.2019.124478
- Identifying sensitivities in flood frequency analyses using a stochastic hydrologic modeling system A. Newman et al. 10.5194/hess-25-5603-2021
- The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States R. Regan et al. 10.1016/j.envsoft.2018.09.023
- Baseline Conditions and Projected Future Hydro-Climatic Change in National Parks in the Conterminous United States W. Battaglin et al. 10.3390/w12061704
- VISCOUS: A Variance‐Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes R. Sheikholeslami et al. 10.1029/2020WR028435
- The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
- Runoff Modeling of a Coastal Basin to Assess Variations in Response to Shifting Climate and Land Use: Implications for Managed Recharge S. Beganskas et al. 10.1007/s11269-019-2197-4
Latest update: 27 May 2022
Short summary
Results of this study indicate that it is possible to identify the influence of different hydrologic processes when simulating with a distributed-parameter hydrology model on the basis of parameter sensitivity analysis. Identification of these processes allows the modeler to focus on the more important aspects of the model input and output, which can simplify all facets of the hydrologic modeling application.
Results of this study indicate that it is possible to identify the influence of different...