| Daily streamflow forecasting by machine learning methods with weather and climate inputs K Rasouli, WW Hsieh, AJ Cannon Journal of Hydrology 414, 284-293, 2012 | 257 | 2012 |
| Development of a hybrid index for drought prediction: case study M Karamouz, K Rasouli, S Nazif Journal of Hydrologic Engineering 14 (6), 617-627, 2009 | 115 | 2009 |
| Hydrological sensitivity of a northern mountain basin to climate change K Rasouli, JW Pomeroy, JR Janowicz, SK Carey, TJ Williams Hydrological Processes 28 (14), 4191-4208, 2014 | 92 | 2014 |
| Environmental crisis in Lake Urmia, Iran: a systematic review of causes, negative consequences and possible solutions V Garousi, A Najafi, A Samadi, K Rasouli, B Khanaliloo Proceedings of the 6th International Perspective on Water Resources & the …, 2013 | 61 | 2013 |
| Snowpack sensitivity to perturbed climate in a cool mid‐latitude mountain catchment K Rasouli, JW Pomeroy, DG Marks Hydrological Processes 29 (18), 3925-3940, 2015 | 50 | 2015 |
| Are the effects of vegetation and soil changes as important as climate change impacts on hydrological processes? K Rasouli, JW Pomeroy, PH Whitfield Hydrology and Earth System Sciences 23 (doi.org/10.5194/hess-23-4933-2019 …, 2019 | 40 | 2019 |
| Sensitivity of snow processes to warming in the Canadian Rockies JW POMEROY, X FANG, K RASOULI 72nd EASTERN SNOW CONFERENCE, Sherbrooke, Québec, Canada, 2015 | 33 | 2015 |
| A radiative–conductive–convective approach to calculate thaw season ground surface temperatures for modelling frost table dynamics TJ Williams, JW Pomeroy, JR Janowicz, SK Carey, K Rasouli, WL Quinton Hydrological Processes 29 (18), 3954-3965, 2015 | 29 | 2015 |
| Streamflow input to Lake Athabasca, Canada K Rasouli, MA Hernández-Henríquez, SJ Déry Hydrology and Earth System Sciences 17 (5), 1681-1691, 2013 | 28 | 2013 |
| Reply to comment by Jack Lewis et al. on “Forests and floods: A new paradigm sheds light on age‐old controversies” Y Alila, R Hudson, PK Kuraś, M Schnorbus, K Rasouli Water Resources Research 46 (5), 2010 | 26 | 2010 |
| Vulnerability of the Caspian Sea shoreline to changes in hydrology and climate M Akbari, A Baubekova, A Roozbahani, A Gafurov, A Shiklomanov, ... Environmental Research Letters 15, 115002, 2020 | 24 | 2020 |
| A long-term hydrometeorological dataset (1993–2014) of a northern mountain basin: Wolf Creek Research Basin, Yukon Territory, Canada K Rasouli, JW Pomeroy, JR Janowicz, TJ Williams, SK Carey Earth System Science Data 11 (1), 89-100, 2019 | 22 | 2019 |
| Hydrological responses of headwater basins to monthly perturbed climate in the North American Cordillera K Rasouli, JW Pomeroy, PH Whitfield Journal of Hydrometeorology 20 (5), 863-882, 2019 | 21 | 2019 |
| Impacts of variability and trends in runoff and water temperature on salmon migration in the Fraser River Basin, Canada A Padilla, K Rasouli, SJ Déry Hydrological Sciences Journal 60 (3), 523-533, 2015 | 20 | 2015 |
| The sensitivity of snow hydrology to changes in air temperature and precipitation in three North American headwater basins K Rasouli, JW Pomeroy, PH Whitfield Journal of Hydrology 606, 127460, 2022 | 19* | 2022 |
| Detection of urban trees sensitivity to air pollution using physiological and biochemical leaf traits in Tehran, Iran H Dadkhah-Aghdash, M Rasouli, K Rasouli, A Salimi Scientific Reports 12 (1), 15398, 2022 | 11 | 2022 |
| Forecast of streamflows to the Arctic Ocean by a Bayesian neural network model with snowcover and climate inputs K Rasouli, B Nasri, A Soleymani, T Mahmood, M Hori, A Torabi Haghighi Hydrology Research 51 (3), 541–561, 2020 | 11 | 2020 |
| Development of precipitation forecast model based on artificial intelligence and sub-seasonal clustering L Parviz, K Rasouli Journal of Hydrologic Engineering 24 (12), https://doi.org/10.1061/(ASCE)HE …, 2019 | 10 | 2019 |
| Linking hydrological variations at local scales to regional climate teleconnection patterns K Rasouli, K Scharold, T Mahmood, N Glenn, D Marks Hydrological Processes 34 (26), 5624-5641, 2020 | 9 | 2020 |
| Fog-water harvesting Capability Index (FCI) mapping for a semi-humid catchment based on socio-environmental variables and using artificial intelligence algorithms Z Karimidastenaei, A Torabi Haghighi, O Rahamati, K Rasouli, S Rozbeh, ... Science of the Total Environment 708 (135115), 2020 | 8 | 2020 |
John PomeroyCentre for Hydrology, University of SaskatchewanVerified email at usask.ca
