Mahyar Shafii
Mahyar Shafii
Postdoctoral Fellow, Ecohydrology Group, Dept. of Earth and Environ. Sci., University of Waterloo
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Optimizing hydrological consistency by incorporating hydrological signatures into model calibration objectives
M Shafii, BA Tolson
Water Resources Research 51 (5), 3796-3814, 2015
Multi-objective calibration of a distributed hydrological model (WetSpa) using a genetic algorithm
M Shafii, FD Smedt
Hydrology and Earth System Sciences 13 (11), 2137-2149, 2009
Optimizing multi-reservoir operation rules: an improved HBMO approach
A Afshar, M Shafii, OB Haddad
Journal of Hydroinformatics 13 (1), 121-139, 2011
Uncertainty-based multi-criteria calibration of rainfall-runoff models: a comparative study
M Shafii, B Tolson, LS Matott
Stochastic environmental research and risk assessment 28 (6), 1493-1510, 2014
Addressing subjective decision-making inherent in GLUE-based multi-criteria rainfall–runoff model calibration
M Shafii, B Tolson, LS Matott
Journal of Hydrology 523, 693-705, 2015
A diagnostic approach to constraining flow partitioning in hydrologic models using a multiobjective optimization framework
M Shafii, N Basu, JR Craig, SL Schiff, P Van Cappellen
Water Resources Research 53 (4), 3279-3301, 2017
Flexible watershed simulation with the Raven hydrological modelling framework
JR Craig, G Brown, R Chlumsky, RW Jenkinson, G Jost, K Lee, J Mai, ...
Environmental Modelling & Software 129, 104728, 2020
Effect of climate change and mining on hydrological connectivity of surficial layers in the Athabasca Oil Sands Region
M Kompanizare, RM Petrone, M Shafii, DT Robinson, RC Rooney
Hydrological Processes 32 (25), 3698-3716, 2018
A priori discretization error metrics for distributed hydrologic modeling applications
H Liu, BA Tolson, JR Craig, M Shafii
Journal of Hydrology 543, 873-891, 2016
Improving the efficiency of Monte Carlo Bayesian calibration of hydrologic models via model pre-emption
M Shafii, B Tolson, L Shawn Matott
Journal of Hydroinformatics 17 (5), 763-770, 2015
Can Improved Flow Partitioning in Hydrologic Models Increase Biogeochemical Predictability?
M Shafii, JR Craig, ML Macrae, MC English, SL Schiff, P Van Cappellen, ...
Water Resources Research 55 (4), 2939-2960, 2019
Multi-objective vs. single-objective calibration of a hydrologic model using single-and multi-objective screening
J Mai, M Cuntz, M Shafii, M Zink, D Schäfer, S Thober, L Samaniego, ...
EGU General Assembly Conference Abstracts, EPSC2016-8997, 2016
Multi-criteria Decision Making under Uncertainty in Rainfall-Runoff Calibration: A Fuzzy Compromise Programming Approach Based on Alpha Level sets
M Shafii, F De Smedt
World Environmental and Water Resources Congress 2009: Great Rivers, 1-10, 2009
Toward effective many-objective optimization: Rounded-archiving
S Sahraei, M Asadzadeh, M Shafii
Environmental Modelling & Software 122, 104535, 2019
Phosphorus cycling within stormwater management infrastructure in extreme climates: insights from data analysis and reactive transport modeling of stormwater ponds
M Shafii, NB Basu, CT Parsons, M Turcotte, P Van Cappellen
AGU Fall Meeting Abstracts 2019, H23Q-2143, 2019
A proposed roadmap for upscaling approaches in biogeochemistry: insights from conceptual carbon modeling to estimate soil respiration at regional scales
S Attinger, M Shafii, P Van Cappellen, R Kumar, NB Basu, KJ Van Meter
AGU Fall Meeting Abstracts 2019, H21J-1876, 2019
Climatic and physiographic controls on catchment-scale nitrate loss at different spatial scales: insights from a top-down model development approach
M Shafii, N Basu, S Schiff, P Van Cappellen
EGU General Assembly Conference Abstracts, 11032, 2017
Catchment-Scale Simulation of Nitrogen Dynamics Using a Modular Hydrological Modelling Framework
NB Basu, M Shafii, JR Craig, SL Schiff, P Van Cappellen
AGU Fall Meeting Abstracts 2016, H34B-05, 2016
A priori discretization quality metrics for distributed hydrologic modeling applications
H Liu, B Tolson, J Craig, M Shafii, N Basu
EGU General Assembly Conference Abstracts, EPSC2016-11197, 2016
Evaluating model structure uncertainty by a new approach to sensitivity analysis utilizing hydrological signatures
J Nossent, M Shafii, W Bauwens
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