Articles | Volume 17, issue 7
Hydrol. Earth Syst. Sci., 17, 2893–2903, 2013
https://doi.org/10.5194/hess-17-2893-2013
Hydrol. Earth Syst. Sci., 17, 2893–2903, 2013
https://doi.org/10.5194/hess-17-2893-2013
Technical note
24 Jul 2013
Technical note | 24 Jul 2013

Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models

J. D. Herman et al.

Related authors

Governing Change: A Dynamical Systems Approach to Understanding the Stability of Environmental Governance
Nusrat Molla, John DeIonno, Thilo Gross, and Jonathan Herman
Earth Syst. Dynam. Discuss., https://doi.org/10.5194/esd-2022-16,https://doi.org/10.5194/esd-2022-16, 2022
Preprint under review for ESD
Short summary
Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions
Marina R. L. Mautner, Laura Foglia, and Jonathan D. Herman
Hydrol. Earth Syst. Sci., 26, 1319–1340, https://doi.org/10.5194/hess-26-1319-2022,https://doi.org/10.5194/hess-26-1319-2022, 2022
Short summary
Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization
Robert Reinecke, Laura Foglia, Steffen Mehl, Jonathan D. Herman, Alexander Wachholz, Tim Trautmann, and Petra Döll
Hydrol. Earth Syst. Sci., 23, 4561–4582, https://doi.org/10.5194/hess-23-4561-2019,https://doi.org/10.5194/hess-23-4561-2019, 2019
Short summary
Flood and drought hydrologic monitoring: the role of model parameter uncertainty
N. W. Chaney, J. D. Herman, P. M. Reed, and E. F. Wood
Hydrol. Earth Syst. Sci., 19, 3239–3251, https://doi.org/10.5194/hess-19-3239-2015,https://doi.org/10.5194/hess-19-3239-2015, 2015
Short summary
From maps to movies: high-resolution time-varying sensitivity analysis for spatially distributed watershed models
J. D. Herman, J. B. Kollat, P. M. Reed, and T. Wagener
Hydrol. Earth Syst. Sci., 17, 5109–5125, https://doi.org/10.5194/hess-17-5109-2013,https://doi.org/10.5194/hess-17-5109-2013, 2013

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Uncertainty analysis
Guidance on evaluating parametric model uncertainty at decision-relevant scales
Jared D. Smith, Laurence Lin, Julianne D. Quinn, and Lawrence E. Band
Hydrol. Earth Syst. Sci., 26, 2519–2539, https://doi.org/10.5194/hess-26-2519-2022,https://doi.org/10.5194/hess-26-2519-2022, 2022
Short summary
Quantifying input uncertainty in the calibration of water quality models: reordering errors via the secant method
Xia Wu, Lucy Marshall, and Ashish Sharma
Hydrol. Earth Syst. Sci., 26, 1203–1221, https://doi.org/10.5194/hess-26-1203-2022,https://doi.org/10.5194/hess-26-1203-2022, 2022
Short summary
Sequential data assimilation for real-time probabilistic flood inundation mapping
Keighobad Jafarzadegan, Peyman Abbaszadeh, and Hamid Moradkhani
Hydrol. Earth Syst. Sci., 25, 4995–5011, https://doi.org/10.5194/hess-25-4995-2021,https://doi.org/10.5194/hess-25-4995-2021, 2021
Short summary
Key challenges facing the application of the conductivity mass balance method: a case study of the Mississippi River basin
Hang Lyu, Chenxi Xia, Jinghan Zhang, and Bo Li
Hydrol. Earth Syst. Sci., 24, 6075–6090, https://doi.org/10.5194/hess-24-6075-2020,https://doi.org/10.5194/hess-24-6075-2020, 2020
Short summary
Coupled machine learning and the limits of acceptability approach applied in parameter identification for a distributed hydrological model
Aynom T. Teweldebrhan, Thomas V. Schuler, John F. Burkhart, and Morten Hjorth-Jensen
Hydrol. Earth Syst. Sci., 24, 4641–4658, https://doi.org/10.5194/hess-24-4641-2020,https://doi.org/10.5194/hess-24-4641-2020, 2020

Cited articles

Alton, P., Mercado, L., and North, P.: A sensitivity analysis of the land-surface scheme JULES conducted for three forest biomes: Biophysical parameters, model processes, and meteorological driving data, Global Biogeochemical Cy., 20, GB1008, https://doi.org/10.1029/2005GB002653, 2006.
Archer, G., Saltelli, A., and Sobol, I.: Sensitivity measures, ANOVA-like techniques and the use of bootstrap, J. Stat. Comput. Simul., 58, 99–120, 1997.
Bastidas, L., Hogue, T., Sorooshian, S., Gupta, H., and Shuttleworth, W.: Parameter sensitivity analysis for different complexity land surface models using multicriteria methods, J. Geophys. Res., 111, 20101, https://doi.org/10.1029/2005JD006377, 2006.
Burnash, R. and Singh, V.: The NWS River Forecast System-Catchment Modeling, in: Computer Models of Watershed Hydrology, 311–366, Water Resour. Publ., Littleton, Colorado, 1995.
Campolongo, F., Cariboni, J., and Saltelli, A.: An effective screening design for sensitivity analysis of large models, Environ. Modell. Softw., 22, 1509–1518, 2007.
Download