Journal Papers

  1. 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
  2. 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.
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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