Journal Papers

  1. Razavi, S., Sheikholeslami, R., Gupta, H.V., and Haghnegahdar, A., (2019), VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis, Environmental Modelling & Software, 112, 95-107. doi:10.1016/j.envsoft.2018.10.005
  2. Razavi, S., and Gupta, H., (2019), A Multi-Method Generalized Global Sensitivity Matrix Approach to Accounting for the Dynamical Nature of Earth and Environmental Systems Models, Environmental Modelling & Software. doi:10.1016/j.envsoft.2018.12.002
  3. Leroux, N. R., and Pomeroy, J. W., (2019), Simulation of capillary pressure overshoot in snow combining trapping of the wetting phase with a nonequilibrium Richards equation modelWater Resources Research54. doi:10.1029/2018WR022969
  4. Gupta, H. V., and Razavi, S., (2018), Revisiting the basis of sensitivity analysis for Dynamical Earth System ModelsWater Resources Research54, 8692–8717. doi:10.1029/2018WR022668
  5. Sheikholeslami, R., Razavi, S., Gupta, H.V., Becker, W., and Haghnegahdar, A., (2019), Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational costEnvironmental Modelling & Software111, 282-299. doi:10.1016/j.envsoft.2018.09.002
  6. Haghnegahdar A., Razavi S., Yassin F., Wheater H., (2017), Multi-criteria sensitivity analysis as a diagnostic tool for understanding model behavior and characterizing model uncertainty, Hydrological Processes, doi:10.1002/hyp.11358
  7. Krogh, S. A., Pomeroy, J. W., & Marsh, P. (2017). Diagnosis of the hydrology of a small Arctic basin at the tundra-taiga transition using a physically based hydrological model. Journal of Hydrology, 550, 685-703.
  8. Sheikholeslami, R., Yassin, F., Lindenschmidt, K., and Razavi, S., (2017), Improved Understanding of River Ice Processes Using Global Sensitivity Analysis Approaches, ASCE Journal of Hydrologic Engineering, 22(11), doi:10.1061/(ASCE)HE.1943-5584.0001574
  9. Haghnegahdar, A., and Razavi, S., (2017), Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale, Environmental Modelling & Software, 95: 115–131, doi: 10.1016/j.envsoft.2017.03.031
  10. Sheikholeslami, R., and Razavi, S., (2017), Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models, Environmental Modelling & Software, 93, 109-126.
  11. Razavi, S., and Gupta, H. V., (2016), A new framework for comprehensive, robust, and efficient global sensitivity analysis: II. Application, Water Resources Research, 51, doi:10.1002/2015WR017559
  12. Razavi, S., and Gupta, H. V., (2016), A new framework for comprehensive, robust, and efficient global sensitivity analysis: I. Theory, Water Resources Research, 51, doi:10.1002/2015WR017558
  13. Razavi, S., and H. V. Gupta, (2015), What do we mean by sensitivity analysis? The need for comprehensive characterization of ‘‘global’’ sensitivity in Earth and Environmental systems models, Water Resour. Res., 51, 3070–3092, doi:10.1002/2014WR016527

Book Chapters

  1. Gupta, H., and Razavi, S., (2017), Chapter 20 – Challenges and Future Outlook of Sensitivity Analysis, In “Sensitivity Analysis in Earth Observation Modelling”, Edited by Petropoulos and Srivastava, Elsevier Pages 397-415, ISBN 9780128030110, doi: 10.1016/B978- 0-12-803011-0.00020-3