Articles | Volume 24, issue 12
https://doi.org/10.5194/hess-24-5835-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-5835-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Simultaneously determining global sensitivities of model parameters and model structure
Department Civil and Environmental Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
James R. Craig
Department Civil and Environmental Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
Bryan A. Tolson
Department Civil and Environmental Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON, N2L 3G1, Canada
Viewed
Total article views: 4,344 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Jun 2020)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
3,043 | 1,225 | 76 | 4,344 | 177 | 63 | 62 |
- HTML: 3,043
- PDF: 1,225
- XML: 76
- Total: 4,344
- Supplement: 177
- BibTeX: 63
- EndNote: 62
Total article views: 3,423 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Dec 2020)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
2,604 | 766 | 53 | 3,423 | 177 | 37 | 43 |
- HTML: 2,604
- PDF: 766
- XML: 53
- Total: 3,423
- Supplement: 177
- BibTeX: 37
- EndNote: 43
Total article views: 921 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Jun 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
439 | 459 | 23 | 921 | 26 | 19 |
- HTML: 439
- PDF: 459
- XML: 23
- Total: 921
- BibTeX: 26
- EndNote: 19
Viewed (geographical distribution)
Total article views: 4,344 (including HTML, PDF, and XML)
Thereof 3,929 with geography defined
and 415 with unknown origin.
Total article views: 3,423 (including HTML, PDF, and XML)
Thereof 3,161 with geography defined
and 262 with unknown origin.
Total article views: 921 (including HTML, PDF, and XML)
Thereof 768 with geography defined
and 153 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
30 citations as recorded by crossref.
- Effect of early administration of tetracosactide on mortality and host response in critically ill patients requiring rescue surgery: a sensitivity analysis of the STOPSHOCK phase 3 randomized controlled trial G. Noera et al. 10.1186/s40779-024-00555-2
- Guidance on evaluating parametric model uncertainty at decision-relevant scales J. Smith et al. 10.5194/hess-26-2519-2022
- Advancement of a Blended Hydrologic Model for Robust Model Performance R. Chlumsky et al. 10.1061/JHYEFF.HEENG-6246
- Establishment of watershed ecological water requirements framework: A case study of the Lower Yellow River, China H. Wu et al. 10.1016/j.scitotenv.2022.153205
- Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions M. Mautner et al. 10.5194/hess-26-1319-2022
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- A Robust Strategy to Account for Data Sampling Variability in the Development of Hydrological Models F. Zheng et al. 10.1029/2022WR033703
- A model-based policy analysis framework for social-ecological systems: Integrating uncertainty and participation in system dynamics modelling H. Amorocho-Daza et al. 10.1016/j.ecolmodel.2024.110943
- Sensitivity of the land surface hydrological cycle to human activities in China K. Luo & J. Moiwo 10.1016/j.gr.2022.04.006
- Process Interactions Can Change Process Ranking in a Coupled Complex System Under Process Model and Parametric Uncertainty J. Yang et al. 10.1029/2021WR029812
- HIDYM: A high-resolution gross primary productivity and dynamic harvest index based crop yield mapper W. Yu et al. 10.1016/j.rse.2024.114301
- The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America R. Arsenault et al. 10.1016/j.envsoft.2023.105808
- The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
- 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
- RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling R. Chlumsky et al. 10.5194/gmd-15-7017-2022
- Effectiveness and resilience of BMPs to watershed climate adaptation considering the uncertainty of hydrological model and GCMs B. Zhang et al. 10.1016/j.crm.2024.100612
- 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
- Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
- Comparative Assessment of Two Global Sensitivity Approaches Considering Model and Parameter Uncertainty H. Dai et al. 10.1029/2023WR036096
- A Computationally Efficient Method for Estimating Multi‐Model Process Sensitivity Index H. Dai et al. 10.1029/2022WR033263
- Ensemble and stochastic conceptual data-driven approaches for improving streamflow simulations: Exploring different hydrological and data-driven models and a diagnostic tool D. Hah et al. 10.1016/j.envsoft.2022.105474
- Learning from hydrological models’ challenges: A case study from the Nelson basin model intercomparison project M. Ahmed et al. 10.1016/j.jhydrol.2023.129820
- The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL) J. Mai et al. 10.5194/hess-26-3537-2022
- Towards reducing the high cost of parameter sensitivity analysis in hydrologic modeling: a regional parameter sensitivity analysis approach S. Larabi et al. 10.5194/hess-27-3241-2023
- Ten strategies towards successful calibration of environmental models J. Mai 10.1016/j.jhydrol.2023.129414
- The pie sharing problem: Unbiased sampling of N+1 summative weights J. Mai et al. 10.1016/j.envsoft.2021.105282
- A step toward global-scale applicability and transferability of flow duration curve studies: A flow duration curve review (2000–2020) C. Leong & Y. Yokoo 10.1016/j.jhydrol.2021.126984
- Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al. 10.1029/2021WR031523
- Improving structure identifiability of hydrological processes by temporal sensitivity with a flexible modeling framework L. Zhou et al. 10.1016/j.jhydrol.2022.128843
- Simultaneous Calibration of Hydrologic Model Structure and Parameters Using a Blended Model R. Chlumsky et al. 10.1029/2020WR029229
29 citations as recorded by crossref.
- Effect of early administration of tetracosactide on mortality and host response in critically ill patients requiring rescue surgery: a sensitivity analysis of the STOPSHOCK phase 3 randomized controlled trial G. Noera et al. 10.1186/s40779-024-00555-2
- Guidance on evaluating parametric model uncertainty at decision-relevant scales J. Smith et al. 10.5194/hess-26-2519-2022
- Advancement of a Blended Hydrologic Model for Robust Model Performance R. Chlumsky et al. 10.1061/JHYEFF.HEENG-6246
- Establishment of watershed ecological water requirements framework: A case study of the Lower Yellow River, China H. Wu et al. 10.1016/j.scitotenv.2022.153205
- Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions M. Mautner et al. 10.5194/hess-26-1319-2022
- Broadleaf afforestation impacts on terrestrial hydrology insignificant compared to climate change in Great Britain M. Buechel et al. 10.5194/hess-28-2081-2024
- A Robust Strategy to Account for Data Sampling Variability in the Development of Hydrological Models F. Zheng et al. 10.1029/2022WR033703
- A model-based policy analysis framework for social-ecological systems: Integrating uncertainty and participation in system dynamics modelling H. Amorocho-Daza et al. 10.1016/j.ecolmodel.2024.110943
- Sensitivity of the land surface hydrological cycle to human activities in China K. Luo & J. Moiwo 10.1016/j.gr.2022.04.006
- Process Interactions Can Change Process Ranking in a Coupled Complex System Under Process Model and Parametric Uncertainty J. Yang et al. 10.1029/2021WR029812
- HIDYM: A high-resolution gross primary productivity and dynamic harvest index based crop yield mapper W. Yu et al. 10.1016/j.rse.2024.114301
- The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America R. Arsenault et al. 10.1016/j.envsoft.2023.105808
- The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
- 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
- RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling R. Chlumsky et al. 10.5194/gmd-15-7017-2022
- Effectiveness and resilience of BMPs to watershed climate adaptation considering the uncertainty of hydrological model and GCMs B. Zhang et al. 10.1016/j.crm.2024.100612
- 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
- Can continuous simulation be used as an alternative for flood regionalisation? A large sample example from Chile P. Acuña & A. Pizarro 10.1016/j.jhydrol.2023.130118
- Comparative Assessment of Two Global Sensitivity Approaches Considering Model and Parameter Uncertainty H. Dai et al. 10.1029/2023WR036096
- A Computationally Efficient Method for Estimating Multi‐Model Process Sensitivity Index H. Dai et al. 10.1029/2022WR033263
- Ensemble and stochastic conceptual data-driven approaches for improving streamflow simulations: Exploring different hydrological and data-driven models and a diagnostic tool D. Hah et al. 10.1016/j.envsoft.2022.105474
- Learning from hydrological models’ challenges: A case study from the Nelson basin model intercomparison project M. Ahmed et al. 10.1016/j.jhydrol.2023.129820
- The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL) J. Mai et al. 10.5194/hess-26-3537-2022
- Towards reducing the high cost of parameter sensitivity analysis in hydrologic modeling: a regional parameter sensitivity analysis approach S. Larabi et al. 10.5194/hess-27-3241-2023
- Ten strategies towards successful calibration of environmental models J. Mai 10.1016/j.jhydrol.2023.129414
- The pie sharing problem: Unbiased sampling of N+1 summative weights J. Mai et al. 10.1016/j.envsoft.2021.105282
- A step toward global-scale applicability and transferability of flow duration curve studies: A flow duration curve review (2000–2020) C. Leong & Y. Yokoo 10.1016/j.jhydrol.2021.126984
- Time to Update the Split‐Sample Approach in Hydrological Model Calibration H. Shen et al. 10.1029/2021WR031523
- Improving structure identifiability of hydrological processes by temporal sensitivity with a flexible modeling framework L. Zhou et al. 10.1016/j.jhydrol.2022.128843
1 citations as recorded by crossref.
Latest update: 25 Dec 2024
Download
The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.
- Article
(3468 KB) - Full-text XML
- Corrigendum
-
Supplement
(310 KB) - BibTeX
- EndNote