An open source framework for many-objective robust decision making. - David Hadka; Jonathan D. Herman; Patrick M. Reed; Klaus Keller (Environ. Model. Softw., 2015)

SALib: An open-source Python library for Sensitivity Analysis. - Jonathan D. Herman; Will Usher 002 (J. Open Source Softw., 2017)

An open-source Python implementation of California's hydroeconomic optimization model. - Mustafa S. Dogan; Max A. Fefer; Jonathan D. Herman; Quinn J. Hart; Justin R. Merz; Josué Medellín-Azuara; Jay R. Lund (Environ. Model. Softw., 2018)

Policy tree optimization for threshold-based water resources management over multiple timescales. - Jonathan D. Herman; Matteo Giuliani (Environ. Model. Softw., 2018)

Scalable Multiobjective Control for Large-Scale Water Resources Systems Under Uncertainty. - Matteo Giuliani; Julianne D. Quinn; Jonathan D. Herman; Andrea Castelletti; Patrick M. Reed (IEEE Trans. Control. Syst. Technol., 2018)

Detecting early warning signals of long-term water supply vulnerability using machine learning. - Bethany Robinson; Jonathan S. Cohen; Jonathan D. Herman (Environ. Model. Softw., 2020)

How do the properties of training scenarios influence the robustness of reservoir operating policies to climate uncertainty? - Jonathan S. Cohen; Harrison B. Zeff; Jonathan D. Herman (Environ. Model. Softw., 2021)

California's food-energy-water system: An open source simulation model of adaptive surface and groundwater management in the Central Valley. - Harrison B. Zeff; Andrew L. Hamilton; Keyvan Malek; Jonathan D. Herman; Jonathan S. Cohen; Josué Medellín-Azuara; Patrick M. Reed; Gregory W. Characklis (Environ. Model. Softw., 2021)