Publications

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[ Author(Desc)] Title Type Year
K
Kuta, R. W. , Annable, W. K. , & Tolson, B. A. . (2010). Sensitivity of field data estimates in one-dimensional hydraulic modeling of channels. Journal of Hydraulic Engineering, 136, 379-384. doi:10.1061/(ASCE)HY.1943-7900.0000187
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Liu, H. , & Tolson, B. . (2019). Using calibration period ensembles of climate and flow data to optimize the characterization of hydrologic model prediction uncertainty. Geophysical Research Abstracts, 21.
Liu, H. , Brown, G. , Craig, J. , Tolson, B. , Newman, A. , & Wood, A. . (2019). Discretization strategies for distributed models of mountainous watersheds. AGU Fall Meeting Abstracts, 2019, H42B-04.
Liu, H. , Thiboult, A. , Tolson, B. , Anctil, F. , & Mai, J. . (2019). Efficient treatment of climate data uncertainty in ensemble Kalman filter (EnKF) based on an existing historical climate ensemble dataset. Journal of Hydrology, 568, 985-996. doi:10.1016/j.jhydrol.2018.11.047
Liu, H. , Tolson, B. A. , Craig, J. R. , & Shafii, M. . (2016). A priori discretization error metrics for distributed hydrologic modeling applications. Journal of Hydrology, 543, 873-891. doi:10.1016/j.jhydrol.2016.11.008
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Mai, J. , Tolson, B. , Shen, H. , Gaborit, E. , Fortin, V. , Dimitrijevic, M. , Gasset, N. , et al. (2019). The runoff model-intercomparison project over Lake Erie and the Great Lakes. AGU Fall Meeting Abstracts, 2019, H32E-03.
Mai, J. , Arsenault, R. , Tolson, B. , Latraverse, M. , & Demeester, K. . (2019). A sequential assimilation strategy to improve short-and long-term forecasts in a hydropower application. Geophysical Research Abstracts, 21.
Mai, J. , & Tolson, B. A. . (2019). Model Variable Augmentation (MVA) for Diagnostic Assessment of Sensitivity Analysis Results. Water Resources Research, 55, 2631-2651. doi:10.1029/2018WR023382
Maier, H. R. , Razavi, S. , Kapelan, Z. , Matott, L. S. , Kasprzyk, J. , & Tolson, B. A. . (2019). Introductory overview: Optimization using evolutionary algorithms and other metaheuristics. Environmental Modelling and Software, 195-213. doi:10.1016/j.envsoft.2018.11.018
Maier, H. R. , Lence, B. J. , Tolson, B. A. , & Foschi, R. O. . (2001). First-order reliability method for estimating reliability, vulnerability, and resilience. Water Resources Research, 37, 779-790. doi:10.1029/2000WR900329
Marchi, A. , Salomons, E. , Ostfeld, A. , Kapelan, Z. , Simpson, A. R. , Zecchin, A. C. , Maier, H. R. , et al. (2014). Battle of the Water Networks II. Journal of Water Resources Planning and Management, 140. doi:10.1061/(ASCE)WR.1943-5452.0000378
Matott, L. S. , Tolson, B. A. , & Asadzadeh, M. . (2012). A benchmarking framework for simulation-based optimization of environmental models. Environmental Modelling and Software, 35, 19-30. doi:10.1016/j.envsoft.2012.02.002
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Nettasana, T. , Craig, J. , & Tolson, B. . (2012). Conceptual and numerical models for sustainable groundwater management in the Thaphra area, Chi River Basin, Thailand [Modèles conceptuels numériques de gestion durable de la nappe dans la région de Thaphra, Bassin de la Rivière Chi, Thaïlande]. Hydrogeology Journal, 20, 1355-1374. doi:10.1007/s10040-012-0887-6
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Ostfeld, A. , Salomons, E. , Ormsbee, L. , Uber, J. G. , Bros, C. M. , Kalungi, P. , Burd, R. , et al. (2012). Battle of the water calibration networks. Journal of Water Resources Planning and Management, 138, 523-532. doi:10.1061/(ASCE)WR.1943-5452.0000191
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Razavi, S. , Asadzadeh, M. , Tolson, B. , Fay, D. , Moin, S. , Bruxer, J. , & Fan, Y. . (2014). Evaluation of new control structures for regulating the great lakes system: Multiscenario, multireservoir optimization approach. Journal of Water Resources Planning and Management, 140. doi:10.1061/(ASCE)WR.1943-5452.0000375
Razavi, S. , & Tolson, B. A. . (2013). An efficient framework for hydrologic model calibration on long data periods. Water Resources Research, 49, 8418-8431. doi:10.1002/2012WR013442
Razavi, S. , Tolson, B. A. , & Burn, D. H. . (2012). Numerical assessment of metamodelling strategies in computationally intensive optimization. Environmental Modelling and Software, 34, 67-86. doi:10.1016/j.envsoft.2011.09.010
Razavi, S. , Tolson, B. A. , & Burn, D. H. . (2012). Review of surrogate modeling in water resources. Water Resources Research, 48. doi:10.1029/2011WR011527
Razavi, S. , & Tolson, B. A. . (2011). A new formulation for feedforward neural networks. IEEE Transactions on Neural Networks, 22, 1588-1598. doi:10.1109/TNN.2011.2163169
Razavi, S. , Tolson, B. A. , Matott, L. S. , Thomson, N. R. , MacLean, A. , & Seglenieks, F. R. . (2010). Reducing the computational cost of automatic calibration through model preemption. Water Resources Research, 46. doi:10.1029/2009WR008957

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