PhD, 2021: Civil Engineering (Climate Change Impact Assessment), Concordia University, Montreal, Quebec, Canada.
MSc, 2015: Civil Engineering (Water Resources Engineering), K. N. Toosi University of Technology (KNTU), Tehran, Tehran, Iran.
BSc, 2011: Civil Engineering (Water Resources Engineering), Shahid Beheshti University, Tehran, Tehran, Iran.
2025-present: Research Associate, University of Calgary, Calgary, Alberta, Canada.
2024-2025: Manager, Climate Change & Sustainability Services (CCaSS), Ernst & Young (EY), Calgary, Alberta, Canada.
2021-2024: Postdoctoral Fellow, McGill University in collaboration with Rio Tinto – Iron Ore Company of Canada, Montreal, Quebec, Canada.
2014-2016: Water Resources Engineer, Farayand Memari Consulting Engineers, Tehran, Tehran, Iran.
Shadi Hatami is a Research Associate in the Department of Civil Engineering at the University of Calgary. Her research sits at the intersection of computational hydrology, hydroclimatology, and machine learning and AI-enabled hydrological modeling. She works on (i) distributed and process-based hydrological modeling; (ii) hydrologic emulation, uncertainty quantification, and model benchmarking; (iii) runoff generation, runoff efficiency, and watershed response under changing hydroclimatic conditions; and (iv) reproducible, open-source workflows for large-sample hydrologic analysis. She also brings industry experience from her work as a Manager in EY’s Climate Change and Sustainability Services practice, where she supported applied climate-risk and sustainability projects. Her work has been published in leading international journals, including Communications Earth & Environment, Proceedings of the National Academy of Sciences, Journal of Hydrology, and Scientific Reports.
Hatami, S., et al., (2025). Altered freeze-thaw cycles under global warming and thinner snowpacks. Nature Communications Earth & Environment. https://doi.org/10.1038/s43247-025-03059-6
Zaerpour, M., et al., (2025). Agriculture’s impact on water–energy balance varies across climates. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2410521122
Papalexiou, S. M., et al., (2025). Sustainability nexus AID: storms. Sustainability Nexus Forum. https://doi.org/10.1007/s00550-024-00544-y
Zaerpour, M., et al., (2024). Climate shapes baseflows, influencing drought severity. Environmental Research Letters. DOI 10.1088/1748-9326/ad975a
Zaerpour, M., et al., (2024). Impacts of agriculture and snow dynamics on catchment water balance in the US and Great Britain. Nature Communications Earth & Environment. https://doi.org/10.1038/s43247-024-01891-w
Ballarin, A., et al., (2024). Drought intensification in Brazilian catchments: implications for water and land management. Environmental Research Letters. DOI 10.1088/1748-9326/ad3e18
Jin, H., et al., (2024). Determination of duration, threshold and spatiotemporal distribution of extreme continuous precipitation in nine major river basins in China. Atmospheric Research. https://doi.org/10.1016/j.atmosres.2023.107217
Ballarin, A., et al., (2024). Frequency rather than intensity drives projected changes of rainfall events in Brazil. Earth’s Future. https://doi.org/10.1029/2023EF004053
Daneshmand, F., et al., (2023). Regional groundwater flow modeling using improved isogeometric analysis. Water Resources Management. https://doi.org/10.1007/s11269-023-03631-9
Yang, L., et al., (2023). The response of agroecosystem water use efficiency to cropland change in northwest China’s Hexi Corridor. Agricultural Water Management. https://doi.org/10.1016/j.agwat.2022.108062
Kim, J., et al., (2022) Comparative study of term-weighting schemes for environmental big data using machine learning. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2022.105536
Nazemi, A., et al., (2022) Cold region data accessibility portal for Québec (CRDAP-QC): An integrated, multi-variable and multi-scale data repository for studying cold-region hydrological processes in Québec. Data in Brief. https://doi.org/10.1016/j.dib.2022.108298
Hatami S., & Nazemi, A. (2022). Compound changes in temperature and snow depth lead to asymmetric and nonlinear responses in landscape freeze–thaw. Scientific Reports. https://doi.org/10.1038/s41598-022-06320-6
Hatami, S., & Nazemi, A., A statistical framework for assessing temperature controls on landscape Freeze-Thaw: Application and implications in Québec, Canada (1979–2016). Journal of Hydrology. DOI 10.1016/j.jhydrol.2021.126891
Dariane, A. B., (2021). Crop pattern optimization in a multi-reservoir system by combining many-objective and social choice methods. Agricultural Water Management. https://doi.org/10.1016/j.agwat.2021.107162
Zaerpour, M., et al., (2021). Global algorithm for identifying changing streamflow regimes. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-25-5193-2021
Hatami, S., & Nazemi, A., (2021). The compound impacts of changing temperature and snow cover on freeze and thaw patterns across Québec. Geo-Extreme. https://doi.org/10.1061/9780784483701.035
Zandmoghaddam, S., et al., (2019). Representing local dynamics of water resource systems through a data-driven emulation approach. Water Resources Management. https://doi.org/10.1007/s11269-019-02319-3
Hatami, S., et al., (2019). Statistical modeling of monthly snow cover loss in southern Canada. Journal of Hydrologic Engineering. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001763
Hatami, S., et al., (2019). Evolving trends of rain over precipitation in Canadian cold season during late 20th century. Canadian Society for Civil Engineering.
About CAPE: We bring together observations, models, and data science to improve understanding and prediction of hydrological processes across scales from hillslopes to continents.
Land and Water Acknowledgement: We respectfully acknowledge that we live and work on Treaty 7 Territory and the Homeland of the Métis, Tsuut'ina, Stoney, and Blackfoot. We thank these nations for their care and stewardship over this land and water, and we pay respect to the ancestors of these places.