Reed Group Google Citations Profile

Reed ResearcherID Profile

Authors are ordered by level of contribution in the Reed Group publications


Gorelick, D., Zeff, H., Characklis, G., and Reed, P. M., “Integrating raw water transfers into an Eastern United States management context.”, ASCE Journal Water Resources Planning & Management, v144, no. 9, DOI:10.1061/(ASCE)WR.1943-5452.0000966, 05018012, 2018.

Quinn, J. D., Reed, P. M., Giuliani, M., Castelletti, A., Oyler, J. W., and Nicholas, R., “Exploring How Changing Monsoonal Dynamics and Human Pressures Challenge Multi-Reservoir Management for Flood Protection, Hydropower Production, and Agricultural Water Supply.“, Water Resources Research, v54, DOI:10.1029/2018WR022743, 1-25, 2018.

Lamontagne, J., Reed, P. M., Link, R., Calvin, K., Clarke, L., and Edmonds, J., “Large Ensemble Analytic Framework for Consequence Driven Discovery of Climate Change Scenarios.”, Earth’s Future,  v6, no. 3, DOI: 10.1002/2017EF000701, 488-504, 2018.

Singh, R.,  Quinn, J., Reed, P. M. and Keller, K. “Skill (or lack thereof) of data-model fusion techniques to provide an early warning signal for an approaching tipping point.” PLOS ONE 13(2), 10.1371/journal.pone.0191768: e0191768, 2018.

Giuliani, M., Quinn, J., Herman, J., Castelletti, A., and Reed, P. M., “Scalable multi-objective control for large scale water resources systems under uncertainty.”, IEEE Transactions on Control Systems Technology, v26, no. 4, DOI:10.1109/TCST.2017.2705162, 1492-1499, 2018.


Zatarain Salazar, J., Reed, P.M., Quinn, J., Giuliani, M., and Castelletti, A., “Balancing Exploration, Uncertainty and Computational Demands in Many Objective Reservoir Optimization.”, Advances in Water Resources, v109, 196-210, DOI: 10.1016/j.advwatres.2017.09.014, 2017.

Oddo, P., Lee, B. S., Garner, G., Reed, P.M., Forest, C.E. and Keller, K. “Deep uncertainties in sea-level rise and storm surge projections: Implications for coastal flood risk management.”, Risk Analysis, DOI:10.1111/risa.12888, 2017.

Quinn, J., Reed, P.M., Giuliani, M., and Castelletti, A., “Rival Framings: A Framework for Discovering How Problem Formulation Uncertainties Shape Risk Management Tradeoffs in Water Resources Systems.”, Water Resources Research, v53, DOI: 10.1002/2017WR020524, 2017.

Scanlon, B., Ruddell, B., Reed, P.M., Hook, R., Zheng, C., Tidwell, V., and Siebert, S., “The Food-Energy-Water Nexus: Transforming Science for Society.”, Water Resources Research, v53, DOI:10.1002/2017WR020889, 2017.

Trindade, B., Reed, P.M., Herman, J.D., Zeff, H.B., and Characklis, G., “Reducing regional drought vulnerabilities and multi-city robustness conflicts using many-objective optimization under deep uncertainty.”, Advances in Water Resources, v104, DOI: 10.1016/j.advwatres.2017.03.023,195-209, 2017.

Quinn, J., Reed, P.M., and Keller, K., “Direct Policy Search for Robust Multi-Objective Management of Deeply Uncertain Socio-Ecological Tipping Points.”, Environmental Modelling and Software, v92, 125-141, 2017.


Zeff, H.B., Herman, J., Reed, P.M., and Characklis, G., “Cooperative drought adaptation: Integrating infrastructure development, conservation, and water transfers into adaptive policy pathways.”, Water Resources Research, v52, no. 9, 10.1002/2016WR018771: 7327-7346, 2016.

Herman, J., Zeff, H., Lamontagne, J., Reed, P.M., and Characklis, G., “Synthetic Drought Scenario Generation to Support Bottom-Up Water Supply Vulnerability Assessments.”, Journal of Water Resources Planning and Management, v142, no. 11, 2016.

Zatarain Salazar, J., Reed, P.M., Herman, J., Giuliani, M., and Castelletti, A., “A Diagnostic Assessment of Evolutionary Algorithms for Multi-Objective Surface Reservoir Control.”, Advances in Water Resources, v92, 172-185, 2016.

Garner, G., Reed,P., and Keller, K., “Climate Risk Management Requires Explicit Representation of Societal Trade-Offs.”, Climatic Change, v134, no. 4, 713-723, 2016.

Kasprzyk, J., Reed, P.M., and Hadka, D., “Battling Arrow’s Paradox to Discover Robust Water Management Alternatives.”, Journal of Water Resources Planning and Management, v142, no. 2, 15053-15053, 2016.

Giuliani, M., Castelletti, A., Pianosi, F., Mason, E. and Reed, P.M.,“Curses, tradeoffs, and scalable management: advancing evolutionary multi-objective direct policy search to improve water reservoir operations.”, Journal of Water Resources Planning and Management, v142, no. 2, 15050-15050, 2016.


Matrosov, E., Huskova, I., Kasprzyk, J., Harou, J., Lambert, C. and Reed, P.M., “Many-Objective Optimization and Visual Analytics Reveal Key Trade-offs for London’s Water Supply.”, Journal of Hydrology, v531, Part 3, 1040-1053, 2015.

Brown, C., Lund, J., Cai, X., Reed, P.M., Zagona, E., Ostfeld, A., Hall, J., Characklis, G., Yu, W., and Brekke, L., “The Future of Water Resources Systems Analysis: Toward a Scientific Framework for Sustainable Water Management.”, Water Resources Research, 51, 6110–6124, doi:10.1002/2015WR017114, 2015 (50th Anniversary Issue).

Hadka, D., Herman, J., Reed, P.M., Keller, K. “An Open Source Framework for Many-Objective Robust Decision Making”, Environmental Modelling & Software, v74, 114-129, 2015.

Ward, V., Singh, R., Reed, P.M., and Keller, K., “Confronting Tipping Points: Can Multi-objective Evolutionary Algorithms Discover Pollution Control Tradeoffs Given Environmental Thresholds?”, Environmental Modelling & Software, v73, 27-43, 2015.

Singh, R., Reed, P.M., and Keller, K., “Many-objective robust decision making for managing an ecosystem with a deeply uncertain threshold response”, Ecology and Society v20, No.3, 12, doi: 10.5751/ES-07687-200312, 2015.

Chaney, N., Herman, J., Reed, P.M., and Wood, E.F., “Flood and Drought Hydrologic Monitoring: The Role of Model Parameter Uncertainty”, Hydrology and Earth System Sciences, v19, 3239-3251, 2015.

Hadka, D., and Reed, P.M., “Large-scale Parallelization of the Borg MOEA for Many-Objective Optimization of Complex Environmental Systems”, Environmental Modelling & Software, v69, 353-369, 2015. (Part of Thematic Issue)

Reed, P. M., Chaney, N., Herman, J., Ferringer, M., and Wood, E. F., “Internationally Coordinated Multi-Mission Planning Is Now Critical to Sustain the Space-based Rainfall Observations Needed for Managing Floods Globally”, Environmental Research Letters, 10, (024010), 2015.

Herman, J.D., Reed, P.M., Zeff, H.B., and Characklis, G., “How should robustness be defined for water systems planning under change?”, Journal of Water Resources Planning and Management, v141, no. 10, 04015012, 2015.


Butler, M., Reed, P.M., Fisher-Vanden, K., Keller, K., and Wagener, T., “Inaction and climate stabilization uncertainties lead to severe economic costs”, Climatic Change, v127, n3-4, 463-474, 2014.

Reed, P.M. and Hadka, D., “Evolving Many-Objective Water Management to Exploit Exascale Computing”, Water Resources Research, v50, n10, 8367–8373, 2014.

Herman, J.D., Zeff, H.B., Reed, P.M., and Characklis, G., “Beyond Optimality: Multi-stakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty”, Water Resources Research, v50, n10, 7692–7713, 2014 (Featured on Issue Cover).

Hadka, D., and Reed, P.M., “Serial Borg MOEA Patent”, United States Patent No. 8,856,054, Issued October 7, 2014.

Maier, H. R., Z. Kapelan, J. Kasprzyk, J. Kollat, L. S. Matott, M. Cunha, G. C. Dandy, M. S. Gibbs, E. Keedwell, A. Marchi, A. Ostfeld, D. Savic, D. Solomatine, J. A. Vrugt, A. C. Zecchin, B. S. Minsker, E. Barbour, G. Kuczera, F. Pasha, A. Castelletti, M. Giuliani, and P.M. Reed, “Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions”, Environmental Modelling & Software, v62, 271-299, 2014.

Ferringer, M., DiPrinzio, M., Thompson, T., Hanifen, K., Whittecar, W., and Reed, P. M., “A Framework for the Discovery of Passive-Control, Minimum Energy Satellite Constellations”, AIAA/AAS Astrodynamics Specialist Conference, San Diego, CA, 2014.

Zeff, H. B., Kasprzyk, J. R., Herman, J. D., Reed, P. M., and Characklis, G., “Navigating Financial and Supply Reliability Tradeoffs in Regional Drought Portfolios”, Water Resources Research, v50, n6, 4906-4903, 2014.

Giuliani, M., Herman, J., Castelletti, A., and Reed, P., “Many-objective reservoir policy identification and refinement to reduce policy inertia and myopia in water management.”, Water Resources Research, v50, n4, 3355–3377, 2014.

Butler, M., Reed, P. M., Fisher-Vanden, K., Keller, K., and Wagener, T., “Identifying Parametric Controls and Dependencies in Integrated Assessment Models using Global Sensitivity Analysis.”, Environmental Modelling & Software, v59, 10-29, 2014.

Marchi, A. et al., (2014). “Battle of the Water Networks II.”, Journal of Water Resources Planning and Management v140, n7, 1-14, 2014.


Herman, J., Kollat, J., Reed, P.M., and Wagener, T., “From maps to movies: High resolution time-varying sensitivity analysis for spatially distributed watershed models.”, Hydrology and Earth Systems Sciences, v17, 5109-5125, 2013.

Thompson, S., Sivapalan, M., Harman, C., Srinivasan, V., Hipsey, M., Reed, P., Montanari, A., and Bloschl, G., “Developing predictive insight into changing water systems: Use-inspired hydrologic science for the Anthropocene.”Hydrology and Earth Systems Sciences, v17, 5013-5039, 2013.

Fu, G., Kapelan, Z., Kasprzyk, J., and Reed, P.M., “Optimal Design of Water Distribution Systems using Many-Objective Visual Analytics.” ASCE Journal of Water Resources Planning & Management, v139, n6, 624-633, 2013 (Winner of the 2014 Quentin Martin Best Practice Paper).

Fernandez, A., Blumsack, S., and Reed, P.M., “Operational Constraints and Hydrologic Variability Limit Hydropower in Supporting Wind Integration.” Environmental Research Letters, 8, 024037, 8pp, doi:10.1088/1748-9326/8/2/0214037, 2013.

Herman, J., Kollat, J., Reed, P.M., and Wagener, T., “Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models.”, Hydrology and Earth Systems Sciences, v17, 2893-2903, 2013.

Woodruff, M., Reed, P.M., and Simpson, T., “Many-Objective Visual Analytics: Rethinking the Design of Complex Engineered Systems.” Structural and Multidisciplinary Optimization, v48, 201-219, 2013.

Hadka, D., and Reed, P.M., “Borg: An Auto-Adaptive Many-Objective Evolutionary Computing Framework.”Evolutionary Computation, v21, n2, 231-259, 2013.

Herman, J., Reed, P.M., and Wagener, T., “Time-varying sensitivity analysis clarifies the effects of watershed model formulation on model behavior.” Water Resources Research, v49, n3, 1400-1414, 2013.

Reed, P. M., and Kollat, J. B., “Visual Analytics Clarify the Scalability and Effectiveness of Massively Parallel Many-Objective Optimization: A Groundwater Monitoring Design Example.” Advances in Water Resources, v56, 1-13, 2013.

Kasprzyk, J., Nataraj, S., Reed, P. M., and Lempert, R. J., “Many-Objective Robust Decision Making for Complex Environmental Systems Undergoing Change.” Environmental Modelling & Software, v42, 55-71, 2013.

Nguyen, N., Shortle, J., Reed, P. M., and Nguyen, T., “Water Quality Trading with Asymmetric Information, Uncertainty, and Transaction Costs: A Stochastic Agent-based Simulation.” Resource and Energy Economics, v35, n1, 60-90, 2013.

Reed, P.M., Hadka, D., Herman, J., Kasprzyk, J., and Kollat, J., “Evolutionary Multiobjective Optimization in Water Resources: The Past, Present, and Future.” (Editor Invited Submission to 35th Anniversary Special Issue), Advances in Water Resources, v51, 438-456, 2013.


Hadka, D., Reed, P.M., and Simpson, T.W., “Diagnostic Assessment of the Borg MOEA for Many-Objective Product Family Design Problems.” IEEE Congress on Evolutionary Computation (CEC 12)as part of World Congress on Computational Intelligence, Brisbane, Australia (2012).

Hadka, D., and Reed, P.M., “Diagnostic Assessment of Search Controls and Failure Modes in Many-Objective Evolutionary Optimization.”, Evolutionary Computation, v20, n3, 423-452, 2012.

Fu, G., Kapelan, Z., and Reed, P.M., “Reducing the Complexity of Multi-objective Water Distribution System Optimization Through Global Sensitivity Analysis.”, Journal of Water Resources Planning & Management, ASCE Journal of Water Resources Planning & Management, v138, n3, 196-207, 2012.

Fernandez, A., Blumsack, S., and Reed, P. M., “Evaluating Wind-Following and Ecosystem Services for Hydroelectric Dams in PJM.”, Journal of Regulatory Economics, v41, n1, 139-154, 2012.

Reed, P.M., and Kollat, J.B., “Save Now, Pay Later? Multi-Period Many-Objective Groundwater Monitoring Design Given Systematic Model Errors and Uncertainty.”, Advances in Water Resources, v35, n1, 55-68, 2012.

Kollat, J.B., Reed, P.M., Wagener, T., “When are Multi-Objective Calibration Tradeoffs in Rainfall-Runoff Models Meaningful?”. Water Resources Research, v48, W03520, March 2012, doi:10.1029/2011WR011534.

Kasprzyk, J. R., Reed, P. M., Kirsch, B. R., and Characklis, G. W., “Many-Objective de Novo Water Supply Portfolio Planning Under Deep Uncertainty.” Environmental Modelling & Software, v34,87-104, 2012.


Kollat, J.B., Reed, P.M., and Maxwell, R., “Many-objective Groundwater Monitoring Network Design using Bias-Aware Ensemble Kalman Filtering, Evolutionary Optimization, and Visual Analytics.” Water Resources Research, v47, W02529, doi:10.1029/2010WR009194, 2011.

Shah, R., and Reed, P.M., “Comparative Analysis of Multiobjective Evolutionary Algorithms for Random and Correlated Instances of Multiobjective d-Dimensional Knapsack Problems.”, European Journal of Operational Research, v211, n3, 466-479, 2011.

Shah, R., Reed, P. M., and Simpson, T., “Many-objective Evolutionary Optimization and Visual Analytics for Product Family Design.” in Springer-Verlag London Multi-objective Evolutionary Optimisation for Product Design and Manufacturing, Editors: Wang, L., Ng, A., and Deb, K., 2011.


Reed, P. M., Bills, B., Anderson, M., Ketchum, B., and Piasecki, M., “The Mid-Atlantic Watershed Atlas (MAWA): Open access data search & watershed-based community building.” Environmental Modelling & Software, v25, n6, 808-812, 2010.

Nicklow, J., Reed, P. M., Savic, D., Dessalegne, T., Harrell, L., Chan-Hilton, A., Karamouz, Minsker, B., Ostfeld, A., Singh, A., and Zechman, E., “State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management.” ASCE Journal of Water Resources Planning & Management, v136, n4, 412-432, 2010.


Kasprzyk, J. R., Reed, P. M., Kirsch, B. R., and Characklis, G. W., “Managing population and drought risks using many-objective water portfolio planning under uncertainty.” Water Resources Research, v45, W12401, 2009.

Ferringer, M., Spencer, D., and Reed, P. M., “Many-objective Reconfiguration of Operational Satellite Constellations with the Large-Cluster Epsilon Non-dominated Sorting Genetic Algorithm-II.” IEEE Congress on Evolutionary Computation (CEC 09), DOI: 10.1109/CEC.2009.4982967, 340-349, 2009. See related video of Reed’s Vision for the Future of Earth Observation at European Geophysical Union 2011 Meeting

van Werkhoven, K., Wagener, T., Reed, P. M., and Tang, Y., “Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models.” Advances in Water Resources, v32, n8, pp. 1154-1169, 2009.

Reed, P. M., and Kasprzyk, J. R., “Water Resources Management: The Myth, The Wicked, & The Future.” ASCE Journal of Water Resources Planning & Management, v135, n6, pp. 411-413, 2009.

Wagener, T., Reed, P. M., van Werkhoven, K., Tang, Y. and Zhang, Z., “Advances in the Identification and Evaluation of Complex Environmental Systems Models.” Journal of Hydroinformatics, v11, n3-4, pp. 266-281, 2009.

Bai, Y., Wagener, T., and Reed, P. M., “A Top-Down Framework for Watershed Model Evaluation and Selection under Uncertainty.” Environmental Modelling & Software, v24, n8, 901-916, 2009.

Wagener, T., van Werkhoven, K., Reed, P. M., and Tang, Y., “Multi-objective Sensitivity Analysis to Understand the Information Content in Streamflow Observations for Distributed Watershed Modeling.” Water Resources Research, 45, W02501, doi:10.1029/2008WR007347, 2009.


Kollat, J.B., Reed, P.M., and Rizzo, D., “Addressing Model Bias and Uncertainty in Three Dimensional Groundwater Transport Forecasts for a Physical Aquifer Experiment.” Geophysical Research Letters , 35, L17402, doi:10.1029/2008GL035021, 2008.

Characklis, G. and Reed, P. M., “An Evolving Paradigm for Publication in the Water Resources Management Field.”Journal of Contemporary Water Research & Education,139: 37-39, June 2008.

van Werkhoven, K., Wagener, T., Reed, P. M., and Tang, Y., “Rainfall characteristics define the value of streamflow observations for distributed watershed model identification.” Geophysical Research Letters, 35, L11403, doi:10.1029/2008GL033721, 2008.

Zhang, Z., Wagener, T., Reed, P. M., and Bhushan, R., “Reducing Uncertainty in Predictions in Ungauged Basins by Combining Hydrologic Indices Regionalization and Multiobjective Optimization.” Water Resources Research, 44, W00B04, doi:10.1029/2008WR006833, 2008.

Reed, P. M., Ferringer, M., Thompson, T., and Kollat, J. B., “Parallel Evolutionary Multi-objective Optimization on Large, Heterogeneous Clusters: An Applications Perspective.” Journal of Aerospace Computing, Information, and Communication, 5: pp. 460-478, November 2008.

Kollat, J. B., Reed, P. M., and Kasprzyk, J. R., “A New Epsilon-Dominance Hierarchical Bayesian Optimization Algorithm for Large Multi-Objective Monitoring Network Design Problems”, Advances in Water Resources, 31(5): 828-845, 2008.

van Werkhoven, K., Wagener, T., Reed, P. M., and Tang, Y., “Characterization of Watershed Model Behavior Across a Hydroclimatic Gradient.” Water Resources Research, 44, W01429, doi:10.1029/2007WR006271, 2008.


Tang, Y., Reed, P. M., van Werkhoven, K., and Wagener, T., “Advancing the Identification and Evaluation of Distributed Rainfall-Runoff Models Using Global Sensitivity Analysis.” Water Resources Research, 43, W06415, doi:10.1029/2006WR005813, 2007.

Kollat, J. B., and Reed, P. M., “A Framework for Visually Interactive Decision-making and Design using Evolutionary Multiobjective Optimization (VIDEO).” Environmental Modelling & Software, 22(12): pp. 1691-1704, 2007.

Reed, P. M., Tang, Y., and Wagener, T., “Reply on: How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration? by Yong Tang et al.” Hydrology and Earth System Sciences, 11, 1437-1439, 2007. Online Journal Access

Loescher, H.W., Jacobs, J., Wendroth, O., Robinson, D.A. Poulos, G.S., McGuire, K., Reed, P., Mohanty, B., Krajewski, W., “Enhancing Water Cycle Measurements for Future Hydrologic Research.” Bulletin of the American Meteorological Society, DOI: 10.1175/BAMS-88-5, pp. 669-676, 2007.

Tang, Y., Reed, P. M., Wagener, T., and van Werkhoven, K., “Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation.” Hydrology and Earth System Sciences, 11, 793-817, 2007.

Characklis, G., Reed, P. M., and Minsker, B.S. “The Role of Systems Analysis in NSF’s Environmental Observatories.”Journal of Water Resources Planning & Management, 133(1): pp. 1-3, 2007.

Tang, Y., Reed, P. M., and Kollat, J. B., “Parallelization Strategies for Rapid and Robust Evolutionary Multiobjective Optimization in Water Resources Applications.” Advances in Water Resources, 30(3): 335-353, 2007.

Kollat, J. B., and Reed, P. M., “A Computational Scaling Analysis of Multiobjective Evolutionary Algorithms in Long-Term Groundwater Monitoring Applications.” Advances in Water Resources, 30(3): 408-419, 2007.

Reed, P. Kollat, J. B., and Devireddy, V., “Using Interactive Archives in Evolutionary Multiobjective Optimization: A Case Study for Long-Term Groundwater Monitoring Design.” Environmental Modelling & Software, 22(5): pp. 683-692, 2007.


Reed, P. M., Brooks, R. B., Davis, K. J., DeWalle, D. R., Dressler, K. A., Duffy, C. J., Lin, H., Miller, D. A., Najjar, R. G., Salvage, K. M., Wagener, T., and Yarnal, B., “Bridging River Basin Scales and Processes to Assess Human-Climate Impacts and the Terrestrial Hydrologic System.” Water Resources Research, 42, W07418: doi:10.1029/2005WR004153, 2006.

Tang, Y., Reed, P.M., and Wagener, T., “How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration?” Hydrology and Earth System Science, 10, 289-307, 2006.

Kollat, J. B., and Reed, P. M., “Comparison of Multi-Objective Evolutionary Algorithms for Long-Term Monitoring Design.” Advances in Water Resources, 29(6): pp. 792-807, 2006.


Reed, P., T. Ellsworth, and B.S. Minsker, “Spatial Interpolation Methods for Nonstationary Plume Data.” Ground Water, 42(2): pp. 190-202, 2004.

Reed, P. and B.S. Minsker, “Striking the Balance: Long-Term Groundwater Monitoring Design for Conflicting Objectives.” Journal of Water Resources Planning and Management, 130(2): pp. 140-149, 2004.

Reed, P., B. S. Minsker, and D. E. Goldberg, “Simplifying Multiobjective Optimization: An Automated Design Methodology for the Nondominated Sorted Genetic Algorithm-II.” Water Resources Research, 39(7): p. 1096, doi:10.1029/2002WR001483, 2002.

Reed, P. M., B. S. Minsker, and D. E. Goldberg, “A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data.” Invited paper, Journal of Hydroinformatics, 3: pp. 71-89, 2001.

Reed, P. M., B. S. Minsker, and A. J. Valocchi. “Cost effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation.” Water Resources Research, 36(12): pp. 3731-3741, 2000.

Reed., P. M., B. S. Minsker, and D. E. Goldberg. “Designing a Competent Simple Genetic Algorithm for Search and Optimization.” Water Resources Research, 36(12): pp. 3757-3761, 2000.