Articles | Volume 20, issue 11
https://doi.org/10.5194/hess-20-4655-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-4655-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Towards simplification of hydrologic modeling: identification of dominant processes
Steven L. Markstrom
CORRESPONDING AUTHOR
US Geological Survey, P.O. Box 25046, MS 412, Denver Federal Center, Denver, Colorado, 80225, USA
Lauren E. Hay
US Geological Survey, P.O. Box 25046, MS 412, Denver Federal Center, Denver, Colorado, 80225, USA
Martyn P. Clark
National Center for Atmospheric Research, P.O. Box 3000, Boulder, Colorado, 80307, USA
Viewed
Total article views: 4,208 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jan 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,263 | 1,810 | 135 | 4,208 | 104 | 129 |
- HTML: 2,263
- PDF: 1,810
- XML: 135
- Total: 4,208
- BibTeX: 104
- EndNote: 129
Total article views: 3,433 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Nov 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,851 | 1,475 | 107 | 3,433 | 73 | 101 |
- HTML: 1,851
- PDF: 1,475
- XML: 107
- Total: 3,433
- BibTeX: 73
- EndNote: 101
Total article views: 775 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jan 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
412 | 335 | 28 | 775 | 31 | 28 |
- HTML: 412
- PDF: 335
- XML: 28
- Total: 775
- BibTeX: 31
- EndNote: 28
Cited
48 citations as recorded by crossref.
- A Critical Review of the Modelling Tools for the Reactive Transport of Organic Contaminants K. Samborska-Goik & M. Pogrzeba 10.3390/app14093675
- Hydrologic impacts of climate change in relation to Ontario’s source water protection planning program T. Livingston et al. 10.1139/cjce-2019-0649
- Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions D. Kim et al. 10.1016/j.envsoft.2023.105893
- Process Interactions Can Change Process Ranking in a Coupled Complex System Under Process Model and Parametric Uncertainty J. Yang et al. 10.1029/2021WR029812
- 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
- Joint Failure Probability of Dams Based on Probabilistic Flood Hazard Analysis M. Montgomery et al. 10.3390/w16060865
- 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
- Ten strategies towards successful calibration of environmental models J. Mai 10.1016/j.jhydrol.2023.129414
- 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
- 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
- Large Scale Evaluation of Relationships Between Hydrologic Signatures and Processes H. McMillan et al. 10.1029/2021WR031751
- Sensitivity Analysis‐Based Automatic Parameter Calibration of the VIC Model for Streamflow Simulations Over China J. Gou et al. 10.1029/2019WR025968
- An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis H. Liu et al. 10.1029/2022WR033808
- 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
- Evaluating hydrologic region assignment techniques for ungaged basins in Alaska, USA T. Barnhart et al. 10.1002/rra.4028
- Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments B. Guse et al. 10.1016/j.jhydrol.2018.12.050
- 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
- Development of an integrated global sensitivity analysis strategy for evaluating process sensitivities across single- and multi-models J. Yang et al. 10.1016/j.jhydrol.2024.132014
- 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
- 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
- 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
- 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
- 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
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
- A new process sensitivity index to identify important system processes under process model and parametric uncertainty H. Dai et al. 10.1002/2016WR019715
- 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 a hydrologic model in data-scarce Alaska using satellite and other gridded products K. Schneider & T. Hogue 10.1016/j.ejrh.2021.100979
- 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
- 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
- An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments C. Prieto et al. 10.1029/2021WR030705
- Application of a Workflow to Determine the Feasibility of Using Simulated Streamflow for Estimation of Streamflow Frequency Statistics A. Whaling et al. 10.1061/JHYEFF.HEENG-5935
- 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
- 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
- How do hydrologists perceive watersheds? A survey and analysis of perceptual model figures for experimental watersheds H. McMillan et al. 10.1002/hyp.14845
- 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
- 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
- HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool E. Moges et al. 10.3389/feart.2022.884766
47 citations as recorded by crossref.
- A Critical Review of the Modelling Tools for the Reactive Transport of Organic Contaminants K. Samborska-Goik & M. Pogrzeba 10.3390/app14093675
- Hydrologic impacts of climate change in relation to Ontario’s source water protection planning program T. Livingston et al. 10.1139/cjce-2019-0649
- Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions D. Kim et al. 10.1016/j.envsoft.2023.105893
- Process Interactions Can Change Process Ranking in a Coupled Complex System Under Process Model and Parametric Uncertainty J. Yang et al. 10.1029/2021WR029812
- 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
- Joint Failure Probability of Dams Based on Probabilistic Flood Hazard Analysis M. Montgomery et al. 10.3390/w16060865
- 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
- Ten strategies towards successful calibration of environmental models J. Mai 10.1016/j.jhydrol.2023.129414
- 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
- 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
- Large Scale Evaluation of Relationships Between Hydrologic Signatures and Processes H. McMillan et al. 10.1029/2021WR031751
- Sensitivity Analysis‐Based Automatic Parameter Calibration of the VIC Model for Streamflow Simulations Over China J. Gou et al. 10.1029/2019WR025968
- An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis H. Liu et al. 10.1029/2022WR033808
- 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
- Evaluating hydrologic region assignment techniques for ungaged basins in Alaska, USA T. Barnhart et al. 10.1002/rra.4028
- Analysing spatio-temporal process and parameter dynamics in models to characterise contrasting catchments B. Guse et al. 10.1016/j.jhydrol.2018.12.050
- 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
- Development of an integrated global sensitivity analysis strategy for evaluating process sensitivities across single- and multi-models J. Yang et al. 10.1016/j.jhydrol.2024.132014
- 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
- 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
- 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
- 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
- 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
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
- A new process sensitivity index to identify important system processes under process model and parametric uncertainty H. Dai et al. 10.1002/2016WR019715
- 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 a hydrologic model in data-scarce Alaska using satellite and other gridded products K. Schneider & T. Hogue 10.1016/j.ejrh.2021.100979
- 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
- 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
- An Exploration of Bayesian Identification of Dominant Hydrological Mechanisms in Ungauged Catchments C. Prieto et al. 10.1029/2021WR030705
- Application of a Workflow to Determine the Feasibility of Using Simulated Streamflow for Estimation of Streamflow Frequency Statistics A. Whaling et al. 10.1061/JHYEFF.HEENG-5935
- 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
- 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
- How do hydrologists perceive watersheds? A survey and analysis of perceptual model figures for experimental watersheds H. McMillan et al. 10.1002/hyp.14845
- 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
- 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
1 citations as recorded by crossref.
Latest update: 21 Nov 2024
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...