Picture of  Shervan Gharari

Shervan Gharari Research Associate

Research Interests and Expertise

Shervan is a Research Associate at the University of Saskatchewan, School of Geography and Planning. Shervan’s research focuses in four main areas: (i) Understanding models and their interaction/complexity with in hand hydrological knowledge; (ii) model fidelity and realism from hillslope to continental scale; (iii) Improvement of continental scale modeling and inclusion of often neglected human impacts on hydrological cycle; and (iv) application of information theory in earth system models. Shervan has published his work in top-tier journals, including Water Resources Research, Hydrology and Earth System Science, and Journal of Hydrology.


Gharari, S.,  Gupta, H. V.,  Clark, M. P.,  Hrachowitz, M.,  Fenicia, F.,  Matgen, P., &  Savenije, H. H. G. (2021). Understanding the information content in the hierarchy of model development decisions: Learning from data. Water Resources Research,  57, e2020WR027948. https://doi.org/10.1029/2020WR027948.

Sheikholeslami, R.,  Gharari, S.,  Papalexiou, S. M., &  Clark, M. P., 2021,  VISCOUS: A Variance-Based Sensitivity Analysis Using Copulas for Efficient Identification of Dominant Hydrological Processes. Water Resources Research,  57, e2020WR028435. https://doi.org/10.1029/2020WR028435.

Mizukami, N.,  Clark, M. P.,  Gharari, S.,  Kluzek, E.,  Pan, M.,  Lin, P., Beck H. E. , Yamazaki, D., 2021:  A vector-based river routing model for Earth System Models: Parallelization and global applications. Journal of Advances in Modeling Earth Systems,  13, e2020MS002434. https://doi.org/10.1029/2020MS002434

Wong JS, Zhang X, Gharari S, Shrestha RR, Wheater HS, Famiglietti JS., 2021: Assessing Water Balance Closure Using Multiple Data Assimilation–and Remote Sensing–Based Datasets for Canada. Journal of Hydrometeorology, https://doi.org/10.1175/JHM-D-20-0131.1.

Gharari, S., Clark, M. P., Mizukami, N., Knoben, W. J. M., Wong, J. S., and Pietroniro, A., 2020: Flexible vector-based spatial configurations in land models, Hydrol. Earth Syst. Sci., 24, 5953–5971, https://doi.org/10.5194/hess-24-5953-2020

Blöschl Günter and 203 others, 2019: Twenty-three unsolved problems in hydrology (UPH) – a community perspective. Hydrological Sciences Journal, doi: 10.1080/02626667.2019.1620507

Gharari Shervan, Clark Martyn P., Mizukami Naoki, Wong Jefferson S., Pietroniro Alain, Wheater Howard S., 2019: Improving the Representation of Subsurface Water Movement in Land Models. Journal of Hydrometeorology, doi: 10.1175/JHM-D-19-0108.1

Gharari S., Razavi S., 2018: A review and synthesis of hysteresis in hydrology and hydrological modeling: Memory path-dependency or missing physics?. Journal of Hydrology, doi: 10.1016/j.jhydrol.2018.06.037

Gao Hongkai, Hrachowitz Markus, Sriwongsitanon Nutchanart, Fenicia Fabrizio, Gharari Shervan, Savenije Hubert H. G., 2016: Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region: VEGETATION AND TOPOGRAPHY DATA IMPROVE MODEL TRANSFERABILITY. Water Resources Research, doi: 10.1002/2016WR019574

Gao H., Hrachowitz M., Fenicia F., Gharari S., Savenije H. H. G., 2014: Testing the realism of a topography-driven model (FLEX-Topo) in the nested catchments of the Upper Heihe China. Hydrology and Earth System Sciences, doi: 10.5194/hess-18-1895-2014

Gharari S., Shafiei M., Hrachowitz M., Kumar R., Fenicia F., Gupta H. V., Savenije H. H. G., 2014: A constraint-based search algorithm for parameter identification of environmental models. Hydrology and Earth System Sciences, doi: 10.5194/hess-18-4861-2014

Gharari S., Hrachowitz M., Fenicia F., Gao H., Savenije H. H. G., 2014: Using expert knowledge to increase realism in environmental system models can dramatically reduce the need for calibration. Hydrology and Earth System Sciences, doi: https://doi.org/10.5194/hess-18-4839-2014

Hrachowitz M., Fovet O., Ruiz L., Euser T., Gharari S., Nijzink R., Freer J., Savenije H. H. G., Gascuel‐Odoux C., 2014: Process consistency in models: The importance of system signatures expert knowledge and process complexity. Water Resources Research, doi: 10.1002/2014WR015484

Shafiei Mojtaba, Ghahraman Bijan, Saghafian Bahram, Pande Saket, Gharari Shervan, Davary Kamran, 2014: Assessment of rain-gauge networks using a probabilistic GIS based approach. Hydrology Research, doi: 10.2166/nh.2013.042

Gharari S., Hrachowitz M., Fenicia F., Savenije H. H. G., 2013: An approach to identify time consistent model parameters: sub-period calibration. Hydrology and Earth System Sciences, doi: 10.5194/hess-17-149-2013

Gharari S., Hrachowitz M., Fenicia F., Savenije H. H. G., 2011: Hydrological landscape classification: investigating the performance of HAND based landscape classifications in a central European meso-scale catchment. Hydrology and Earth System Sciences, doi: 10.5194/hess-15-3275-2011