Amin Haghnegahdar
Amin Haghnegahdar
Associate Member, Global Institute for Water Security, U. Saskatchewan
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
An improved framework for watershed discretization and model calibration: Application to the Great Lakes Basin
A Haghnegahdar
University of Waterloo, 2015
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
Alternatives to heavily-weighted final exams in engineering courses
A Haghnegahdar
Teaching Innovation Projects 3 (1), 2013
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
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
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
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
Analysis and prediction of land cover changes by applying Cellular Automata-Markov model and geo-information: An arid and semi-arid river basin, Iran
SK Motlagh, A Sadoddin, A Haghnegahdar, S Razavi, K Ghorbani
Authorea Preprints, 2020
A Generalized Multi-method Approach to Assess Sensitivity of Dynamical Distributed Watershed Models.
A Haghnegahdar, S Razavi
Geophysical Research Abstracts 21, 2019
Strategies for Handling Simulation Model Crashes in Global Sensitivity Analysis
R Sheikholeslami, A Haghnegahdar, S Razavi
AGU Fall Meeting Abstracts 2018, H43D-2420, 2018
Towards Improved Subsurface Representation in Land Surface-Hydrology Models
A Haghnegahdar, S Razavi
AGU Fall Meeting Abstracts 2018, C43C-1799, 2018
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