Bryan A. Tolson

16 papers C 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A surrogate-aided approach for accelerated Bayesian calibration of hydrologic models.
Environ. Model. Softw.
Rezgar Arabzadeh, Jonathan Romero-Cuellar, James R. Craig, Bryan A. Tolson, Robert Chlumsky
2023 J jnl
BasinMaker 3.0: A GIS toolbox for distributed watershed delineation of complex lake-river routing networks.
Environ. Model. Softw.
Ming Han, Hongren Shen, Bryan A. Tolson, James R. Craig, Juliane Mai, Simon G. M. Lin, Nandita B. Basu, Frezer Seid Awol
2023 J jnl
The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America.
Environ. Model. Softw.
Richard Arsenault, David Huard, Jean-Luc Martel, Magali Troin, Juliane Mai, François Brissette, Christian Jauvin, Long Vu, James R. Craig, Trevor James Smith, Travis Logan, Bryan A. Tolson, Ming Han, Francis Gravel, Sébastien Langlois
2022 J jnl
A review of parallel computing applications in calibrating watershed hydrologic models.
Environ. Model. Softw.
Marjan Asgari, Wanhong Yang, John B. Lindsay, Bryan A. Tolson, Maryam Mehri Dehnavi
2022 J jnl
The pie sharing problem: Unbiased sampling of N+1 summative weights.
Environ. Model. Softw.
Juliane Mai, James R. Craig, Bryan A. Tolson
2020 J jnl
Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms.
J. Comput. Civ. Eng.
Roya Allison Cody, Bryan A. Tolson, Jeff Orchard
2020 J jnl
Flexible watershed simulation with the Raven hydrological modelling framework.
Environ. Model. Softw.
James R. Craig, Genevieve Brown, Robert Chlumsky, R. Wayne Jenkinson, Georg Jost, Konhee Lee, Juliane Mai, Martin Serrer, Nicholas Sgro, Mahyar Shafii, Andrew P. Snowdon, Bryan A. Tolson
2019 J jnl
Introductory overview: Optimization using evolutionary algorithms and other metaheuristics.
Environ. Model. Softw.
Holger R. Maier, Saman Razavi, Zoran Kapelan, L. Shawn Matott, Joseph R. Kasprzyk, Bryan A. Tolson
2017 J jnl
Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada's MESH Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiaoyong Xu, Bryan A. Tolson, Jonathan Li, Bruce Davison
2017 J jnl
Comparison of X-Band and L-Band Soil Moisture Retrievals for Land Data Assimilation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiaoyong Xu, Bryan A. Tolson, Jonathan Li, Bruce Davison
2014 C conf
Assimilation of SMOS soil moisture in the MESH model with the ensemble Kalman filter.
IGARSS
Xiaoyong Xu, Jonathan Li, Bryan A. Tolson, Ralf M. Staebler, Frank Seglenieks, Bruce Davison, Amin Haghnegahdar, Eric D. Soulis
2014 J jnl
Pre-emption strategies for efficient multi-objective optimization: Application to the development of Lake Superior regulation plan.
Environ. Model. Softw.
Masoud Asadzadeh, Saman Razavi, Bryan A. Tolson, David Fay
2012 J jnl
A benchmarking framework for simulation-based optimization of environmental models.
Environ. Model. Softw.
L. Shawn Matott, Bryan A. Tolson, Masoud Asadzadeh
2012 J jnl
Numerical assessment of metamodelling strategies in computationally intensive optimization.
Environ. Model. Softw.
Saman Razavi, Bryan A. Tolson, Donald H. Burn
2011 J jnl
A New Formulation for Feedforward Neural Networks.
IEEE Trans. Neural Networks
Saman Razavi, Bryan A. Tolson
2009 — conf
A new multi-objective algorithm, pareto archived DDS.
GECCO (Companion)
Masoud Asadzadeh, Bryan A. Tolson