Designing monitoring arrangements for collaborative learning about adaptation pathways (2017)

Hermans, Leon M., Marjolijn Haasnoot, Judith ter Maat, Jan H. Kwakkel. (2017). Designing monitoring arrangements for collaborative learning about adaptation pathways. Environmental Science & Policy 69: 29-38. DOI: 10.1016/j.envsci.2016.12.005 . https://authors.elsevier.com/a/1UFzx5Ce0rOGPN Adaptation pathways approaches support long-term planning under uncertainty. The use of adaptation pathways implies a systematic monitoring effort to…

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What it took to catalyse uptake of dynamic adaptive pathways planning to address climate change uncertainty (2016)

Lawrence, J., M. Haasnoot (2016) What it took to catalyse uptake of dynamic adaptive pathways planning to address climate change uncertainty, Environmental Science & Policy, Volume 68, February 2017, Pages 47-57, ISSN 1462-9011, http://dx.doi.org/10.1016/j.envsci.2016.12.003. Abstract Implementing climate-resilient pathways in conditions of uncertainty and change is a serious challenge. Approaches have…

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Barriers and opportunities for robust decision making approaches to support climate change adaptation in the developing world (2016)

Bhave, A. G., Conway, D., Dessai, S., & Stainforth, D. A. (2016). Barriers and opportunities for robust decision making approaches to support climate change adaptation in the developing world. Climate Risk Management, 14, 1-10.  URL: http://www.sciencedirect.com/science/article/pii/S2212096316300626 Climate change adaptation is unavoidable, particularly in developing countries where the adaptation deficit is often…

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A critical review of decision support systems for water treatment: Making the case for incorporating climate change and climate extremes (2016)

Raseman, WJ; Kasprzyk, JR; Rosario-Ortiz, FL; Stewart, JR; Livneh, B “A critical review of decision support systems for water treatment: Making the case for incorporating climate change and climate extremes” Environmental Science: Water Research and Technology, In Press. doi:/10.1039/C6EW00121A Abstract: Water treatment plants (WTPs) are tasked with providing safe potable water…

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Cooperative drought adaptation: Integrating infrastructure development, conservation, and water transfers into adaptive policy pathways (2016)

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, DOI: 10.1002/2016WR018771. http://onlinelibrary.wiley.com/doi/10.1002/2016WR018771/abstract A considerable fraction of urban water supply capacity serves primarily as a hedge against drought.  Water utilities can reduce their dependence…

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Synthetic Drought Scenario Generation to Support Bottom-Up Water Supply Vulnerability Assessments (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. http://ascelibrary.org/doi/10.1061/%28ASCE%29WR.1943-5452.0000701 Robustness analyses of water supply systems have moved toward exploratory simulation to discover scenarios in which…

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Improving Decision Support for Infectious Disease Prevention and Control (2016)

Manheim, David, Margaret Chamberlin, Osonde Osoba, Raffaele Vardavas and Melinda Moore. Improving Decision Support for Infectious Disease Prevention and Control: Aligning Models and Other Tools with Policymakers’ Needs. Santa Monica, CA: RAND Corporation, 2016. http://www.rand.org/pubs/research_reports/RR1576.html. This report describes decision-support tools, including models and nonmodeling approaches, that are relevant to infectious…

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Comparing Robust Decision-Making and Dynamic Adaptive Policy Pathways for model-based decision support under deep uncertainty (2016)

Jan H. Kwakkel, Marjolijn Haasnoot, Warren E. Walker (2016) Comparing Robust Decision-Making and Dynamic Adaptive Policy Pathways for model-based decision support under deep uncertainty, Environmental Modelling & Software 86 (2016) 168-183, http://dx.doi.org/10.1016/j.envsoft.2016.09.017 A variety of model-based approaches for supporting decision-making under deep uncertainty have been suggested, but they are rarely compared and contrasted. In this…

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