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Module     1.  Determine the approach to be used for quantification (e.g., which tools and models to use, how
       6          2.  Assemble the necessary data and relationships.
                      these will be linked to each other, and how these will be informed by/inform the narratives).




                  3.  Use the tools and models to produce the quantitative estimates.

            9-12 December, 2013  Comments


                  For quantification, it is best to use models that are as simple as possible without being simplistic, are
                  transparent, rely on widely available data, and can be applied and compared across widely differing
                  circumstances. Quantification ideally will provide much more policy-relevant information than qualitative

                  descriptions alone. It can provide a measure of the magnitude of the challenge and the scale of the
                  needed policy response.

                  Models that can be used interactively are advantageous because they can be used in working sessions

                  to provide quantification, leading to a revision of the narrative and a next round of quantification. In any
                  case, iterations between storylines and models are an important part of a scenario process including
                  quantification.


                  The selection of models to be used in the quantification depends on the issues emphasized in the
                  scenarios. For GEO-3, for example, initial quantification for two of the scenarios was done using the
                  PoleStar  software  tool  (Raskin  and  others  2002). While  PoleStar  offers  a  flexible  and  easy-to-use
                  accounting framework for organizing economic, resource and environmental information for alternative
                  scenarios,  the  scenario  authors  agreed  that  the  analysis  needed  to  be  complemented  by  further
                  information on environmental impacts. This could only be provided by other, more spatially explicit and

                  process-oriented modelling tools. Therefore other models (i.e., IMAGE from RIVM, WaterGAP from
                  CSER, AIM from NIES) were introduced to make the data more consistent across regions and with
                  the narratives, and to harmonize input data (e.g., growth rates of GDP per capita). Bakkes and others
                  (2004) show how the quantification of the GEO-3 scenarios was carried out and describe the tools

                  that were used. This is also in line with what was done in the Millennium Ecosystem Assessment and
                  has been done in GEO-4.

                  The Africa  Environment  Outlook  (UNEP  2006)  used  two  tools  to  provide  quantification  of  their

                  scenario  narratives:  the  Polestar  software  tool  developed  by  the  Stockholm  Environment  Institute
                  (www.sei.se); and T21, a tool for integrated, comprehensive development and policy planning developed
                  by the Millennium Institute (see http://www.threshold21.com/collaborative.html). In the latter case, the
                  existing T21-Malawi Model was customized to enhance its environmental modelling capability for the
                  production of the case study.




                    52       Scenario Development and Analysis
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