Spatial Bias in Medium-Range Forecasts of Heavy Precipitation in the Sacramento River Basin: Implications for Water Management (2020)

Brodeur, Z. P., and S. Steinschneider, 2020: Spatial Bias in Medium-Range Forecasts of Heavy Precipitation in the Sacramento River Basin: Implications for Water Management. J. Hydrometeor., 21, 1405–1423, https://doi.org/10.1175/JHM-D-19-0226.1. Abstract:Forecasts of heavy precipitation delivered by atmospheric rivers (ARs) are becoming increasingly important for both flood control and water supply management in reservoirs across…

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An open source model for quantifying risks in bulk electric power systems from spatially and temporally correlated hydrometeorological processes (2020)

Yufei Su, Jordan D. Kern, Simona Denaro, Joy Hill, Patrick Reed, Yina Sun, Jon Cohen, Gregory W. Characklis,An open source model for quantifying risks in bulk electric power systems from spatially and temporally correlated hydrometeorological processes,Environmental Modelling & Software, Volume 126, 2020, 104667,https://doi.org/10.1016/j.envsoft.2020.104667 Abstract:Variability (and extremes) in streamflow, wind speeds,…

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Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and a salient research agenda for supporting decision making (2020)

Sondoss Elsawah, Serena H. Hamilton, Anthony J. Jakeman, Dale Rothman, Vanessa Schweizer, Evelina Trutnevyte, Henrik Carlsen, Crystal Drakes, Bob Frame, Baihua Fu, Celine Guivarch, Marjolijn Haasnoot, Eric Kemp-Benedict, Kasper Kok, Hannah Kosow, Mike Ryan, Hedwig van Delden,Scenario processes for socio-environmental systems analysis of futures: A review of recent efforts and…

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On considering robustness in the search phase of Robust Decision Making: A comparison of Many-Objective Robust Decision Making, multi-scenario Many-Objective Robust Decision Making, and Many Objective Robust Optimization (2020)

Erin Bartholomew, Jan H. Kwakkel, On considering robustness in the search phase of Robust Decision Making: A comparison of Many-Objective Robust Decision Making, multi-scenario Many-Objective Robust Decision Making, and Many Objective Robust Optimization, Environmental Modelling & Software, Volume 127, 2020,https://doi.org/10.1016/j.envsoft.2020.104699Abstract: In recent years, a family of approaches has emerged for…

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Defining robustness, vulnerabilities, and consequential scenarios for diverse stakeholder interests in institutionally complex river basins (2020)

Hadjimichael, A., Quinn, J. D., Wilson, E., et al. (2020). Defining robustness, vulnerabilities, and consequential scenarios for diverse stakeholder interests in institutionally complex river basins. Earth’s Future, 8, e2020EF001503. https://doi.org/10.1029/2020EF001503 Abstract:The Upper Basin of the Colorado River in the southwestern United States supports municipal, industrial, agricultural, and recreational activities worth an estimated $300 billion/year within the state…

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Engaging Multiple Worldviews With Quantitative Decision Support: A Robust Decision‐Making Demonstration Using the Lake Model (2020)

Lempert, R.J. and Turner, S. (2020), Engaging Multiple Worldviews With Quantitative Decision Support: A Robust Decision‐Making Demonstration Using the Lake Model. Risk Analysis. doi:10.1111/risa.13579 Abstract:Many of today’s most pressing policy challenges are usefully characterized as wicked problems. With contested framings parties to a decision disagree not only on potential solutions,…

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Putting adaptive planning into practice: A meta-analysis of current applications (2020)

Shirin Malekpour, Jens Newig. Putting adaptive planning into practice: A meta-analysis of current applications (2020). Cities Volume 106, November 2020, 102866 https://doi.org/10.1016/j.cities.2020.102866 Abstract Adaptive planning, as opposed to the conventional ‘predict-and-act’ approach, has emerged as a paradigm to increase the resilience of our built environment and infrastructure systems. However, we…

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Confronting Model Uncertainty in Policy Analysis for Complex Systems: What Policymakers Should Demand

Paul K. Davis and Steven W. Popper (2019), “Confronting Model Uncertainty in Policy Analysis for Complex Systems: What Policymakers Should Demand,” Journal of Policy and Complex Systems, 2(5), 181-201. https://view.joomag.com/journal-on-policy-complex-systems-volume-5-number-2-fall-2019/0729098001579703740/p182?short= Abstract: Good policy analysis needs to improve in routinely addressing not only uncertainty about model inputs to the model used,…

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Meeting Climate, Mobility, and Equity Goals in Transportation Planning Under Wide-Ranging Scenarios: A Demonstration of Robust Decision Making

Robert Lempert, James Syme, George Mazur, Debra Knopman, Garett Ballard-Rosa, Kacey Lizon, Ifeanyi Edochie. Meeting Climate, Mobility, and Equity Goals in Transportation Planning Under Wide-Ranging Scenarios: A Demonstration of Robust Decision Making (2020) https://www.tandfonline.com/doi/full/10.1080/01944363.2020.1727766 Problem, research strategy, and findings: Prediction-based approaches, the heart of current transportation planning practice, are inadequate…

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