Amin Haghnegahdar
Amin Haghnegahdar
Associate Member, Global Institute for Water Security, U. Saskatchewan
Verified email at
Cited by
Cited by
VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis
S Razavi, R Sheikholeslami, HV Gupta, A Haghnegahdar
Environmental modelling & software 112, 95-107, 2019
Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost
R Sheikholeslami, S Razavi, HV Gupta, W Becker, A Haghnegahdar
Environmental modelling & software 111, 282-299, 2019
Multicriteria sensitivity analysis as a diagnostic tool for understanding model behaviour and characterizing model uncertainty
A Haghnegahdar, S Razavi, F Yassin, H Wheater
Hydrological Processes 31 (25), 4462-4476, 2017
Calibrating environment Canada's MESH modelling system over the Great Lakes basin
A Haghnegahdar, BA Tolson, B Davison, FR Seglenieks, E Klyszejko, ...
Atmosphere-Ocean 52 (4), 281-293, 2014
Assessing the performance of a semi‐distributed hydrological model under various watershed discretization schemes
A Haghnegahdar, BA Tolson, JR Craig, KT Paya
Hydrological Processes 29 (18), 4018-4031, 2015
Insights into sensitivity analysis of Earth and environmental systems models: On the impact of parameter perturbation scale
A Haghnegahdar, S Razavi
Environmental Modelling & Software 95, 115-131, 2017
Assimilation of SMOS soil moisture over the Great Lakes basin
X Xu, BA Tolson, J Li, RM Staebler, F Seglenieks, A Haghnegahdar, ...
Remote Sensing of Environment 169, 163-175, 2015
Effect of ENSO on annual maximum floods and volume over threshold in the southwestern region of Iran
B Saghafian, A Haghnegahdar, M Dehghani
Hydrological sciences journal 62 (7), 1039-1049, 2017
Analysis and prediction of land cover changes using the land change modeler (LCM) in a semiarid river basin, Iran
S Khoshnood Motlagh, A Sadoddin, A Haghnegahdar, S Razavi, ...
Land Degradation & Development 32 (10), 3092-3105, 2021
Great Lakes runoff intercomparison project phase 3: Lake Erie (GRIP-E)
J Mai, BA Tolson, H Shen, É Gaborit, V Fortin, N Gasset, H Awoye, ...
Journal of hydrologic engineering 26 (9), 05021020, 2021
Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire—Surface and Hydrology (MESH), the Canadian hydrological land surface scheme
HS Wheater, JW Pomeroy, A Pietroniro, B Davison, M Elshamy, F Yassin, ...
Hydrological Processes 36 (4), e14557, 2022
Assimilation of SMOS soil moisture in the MESH model with the ensemble Kalman filter
X Xu, J Li, BA Tolson, RM Staebler, F Seglenieks, B Davison, ...
2014 IEEE Geoscience and Remote Sensing Symposium, 3766-3769, 2014
What should we do when a model crashes? Recommendations for global sensitivity analysis of Earth and environmental systems models
R Sheikholeslami, S Razavi, A Haghnegahdar
Geoscientific Model Development 12 (10), 4275-4296, 2019
An improved framework for watershed discretization and model calibration: Application to the Great Lakes Basin
A Haghnegahdar
University of Waterloo, 2015
Alternatives to heavily-weighted final exams in engineering courses
A Haghnegahdar
Teaching Innovation Projects 3 (1), 2013
The Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)
J Mai, B Tolson, H Shen, E Gaborit, V Fortin, M Dimitrijevic, N Gasset, ...
AGU Fall Meeting Abstracts 2018, H33N-2283, 2018
Effect of El Nino-Southern Oscillation on Annual Maximum Flood in Southwestern of Iran
A Haghnegahdar, B Saghafian, R Akhtari
Journal of Water and Wastewater 18 (64), 66-78 (In Persian), 2007
The runoff model-intercomparison project over Lake Erie and the Great Lakes
J Mai, B Tolson, H Shen, E Gaborit, V Fortin, M Dimitrijevic, N Gasset, ...
AGU Fall Meeting Abstracts 2019, H32E-03, 2019
Addressing Curse of Dimensionality in Global Sensitivity Analysis of Large Environmental Models: An Automated Grouping Strategy
R Sheikholeslami, S Razavi, HV Gupta, W Becker, A Haghnegahdar
VARS-TOOL: A Comprehensive, Efficient, and Robust Sensitivity Analysis Toolbox
S Razavi, R Sheikholeslami, A Haghnegahdar, B Esfahbod
AGU Fall Meeting Abstracts 2016, H11A-1287, 2016
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