Saman Razavi
Cited by
Cited by
Review of surrogate modeling in water resources
S Razavi, BA Tolson, DH Burn
Water Resources Research 48 (7), 2012
What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in E arth and E nvironmental systems models
S Razavi, HV Gupta
Water Resources Research 51 (5), 3070-3092, 2015
Introductory overview: Optimization using evolutionary algorithms and other metaheuristics
HR Maier, S Razavi, Z Kapelan, LS Matott, J Kasprzyk, BA Tolson
Environmental modelling & software 114, 195-213, 2019
The future of sensitivity analysis: An essential discipline for systems modeling and policy support
S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ...
Environmental Modelling & Software 137, 104954, 2021
A new framework for comprehensive, robust, and efficient global sensitivity analysis: 1. Theory
S Razavi, HV Gupta
Water Resources Research 52 (1), 423-439, 2016
Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models
R Sheikholeslami, S Razavi
Environmental modelling & software 93, 109-126, 2017
Numerical assessment of metamodelling strategies in computationally intensive optimization
S Razavi, BA Tolson, DH Burn
Environmental Modelling & Software 34, 67-86, 2012
A new formulation for feedforward neural networks
S Razavi, BA Tolson
IEEE Transactions on neural networks 22 (10), 1588-1598, 2011
Introductory overview of identifiability analysis: A guide to evaluating whether you have the right type of data for your modeling purpose
JHA Guillaume, JD Jakeman, S Marsili-Libelli, M Asher, P Brunner, ...
Environmental Modelling & Software 119, 418-432, 2019
Evaluation of Integrated Multisatellite Retrievals for GPM (IMERG) over southern Canada against ground precipitation observations: A preliminary assessment
ZE Asong, S Razavi, HS Wheater, JS Wong
Journal of hydrometeorology 18 (4), 1033-1050, 2017
The challenge of unprecedented floods and droughts in risk management
H Kreibich, AF Van Loon, K Schröter, PJ Ward, M Mazzoleni, N Sairam, ...
Nature 608 (7921), 80-86, 2022
Inter-comparison of daily precipitation products for large-scale hydro-climatic applications over Canada
JS Wong, S Razavi, BR Bonsal, HS Wheater, ZE Asong
Hydrology and Earth System Sciences 21 (4), 2163-2185, 2017
Representation and improved parameterization of reservoir operation in hydrological and land-surface models
F Yassin, S Razavi, M Elshamy, B Davison, G Sapriza-Azuri, H Wheater
Hydrology and Earth System Sciences 23 (9), 3735-3764, 2019
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
Historical drought patterns over Canada and their teleconnections with large-scale climate signals
ZE Asong, HS Wheater, B Bonsal, S Razavi, S Kurkute
Hydrology and Earth System Sciences 22 (6), 3105-3124, 2018
Lo Piano
S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ...
S., Iwanaga, T., Becker, W., Tarantola, S., Guillaume, JHA, Jakeman, J …, 2021
Revisiting the basis of sensitivity analysis for dynamical earth system models
HV Gupta, S Razavi
Water Resources Research 54 (11), 8692-8717, 2018
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
Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling
S Razavi
Environmental Modelling & Software 144, 105159, 2021
Toward understanding nonstationarity in climate and hydrology through tree ring proxy records
S Razavi, A Elshorbagy, H Wheater, D Sauchyn
Water Resources Research 51 (3), 1813-1830, 2015
The system can't perform the operation now. Try again later.
Articles 1–20