1. Sheikholeslami, R., Razavi, S., and Haghnegahdar, A., (2019), “What should we do when a model crashes? Recommendations for global sensitivity analysis of Earth and environmental systems models“, Geoscientific Model Development, 12, doi: 10.5194/gmd-12-4275-2019

2. 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. doi:10.1016/j.envsoft.2018.10.005

3. 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

4. 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

5. Gupta, H. V., and Razavi, S., (2018), Revisiting the basis of sensitivity analysis for Dynamical Earth System ModelsWater Resources Research, 54, 8692–8717. doi:10.1029/2018WR022668

6. Gupta, H. V., and Razavi, S., (2018), Revisiting the basis of sensitivity analysis for Dynamical Earth System ModelsWater Resources Research, 54, 8692–8717. doi:10.1029/2018WR022668

7. 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

8. 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

9. 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

10. 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

11. 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.

12. 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

13. 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

14. 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

15. 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