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.
Research article
| 
08 Dec 2020
Research article |
| 08 Dec 2020
| 08 Dec 2020
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
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- The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
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- 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
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