ACCEPTED VERSION Eva H.Y. Beh, Holger R. Maier, Graeme C. Dandy Scenario driven optimal sequencing under deep uncertainty Environmental Modelling and Software, 2015; 68:181-195 © 2015 Elsevier Ltd. All rights reserved This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ Final publication at http://dx.doi.org/10.1016/j.envsoft.2015.02.006 http://hdl.handle.net/2440/90636 PERMISSIONS http://www.elsevier.com/about/company-information/policies/sharing#acceptedmanuscript Accepted manuscript Authors can share their accepted manuscript: […] After the embargo period  via non-commercial hosting platforms such as their institutional repository  via commercial sites with which Elsevier has an agreement In all cases accepted manuscripts should:  link to the formal publication via its DOI  bear a CC-BY-NC-ND license – this is easy to do, click here to find out how  if aggregated with other manuscripts, for example in a repository or other site, be shared in alignment with our hosting policy  not be added to or enhanced in any way to appear more like, or to substitute for, the published journal article Embargo 1364-8152 Environmental Modelling and Software 24 4 August, 2017