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Workshop Report - IPCC

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Annex I: Paper<br />

2.4.2. Use of marker scenarios<br />

The scenario framework can also be explicitly used to develop new scenarios. For this purpose, one would need<br />

to define elements for each SSP/radiative forcing combination that would guide new development. There is a<br />

trade-off between harmonization and providing flexibility. Any new scenario framework should provide flexibility<br />

and not over-specify scenarios. Reasons for this include the need to communicate existing uncertainties, to allow<br />

for different approaches, to avoid constraints on research directions, and to provide an opportunity for a wide<br />

research community to participate in scenario analysis. At the same time, however, the scenarios also have a<br />

function to organize information (acts as a thread to the communities), which benefits from some form of<br />

standardization.<br />

In this context, we propose the following steps.<br />

The basic SSPs include a minimum set of qualitative and semi-quantitative descriptions (see Section 3)<br />

allowing for a great flexibility in interpretation of the underlying narratives, including a preferred range<br />

for basic quantitative indicators and key model input assumptions such as population and income.<br />

<br />

<br />

The scientific community should be encouraged to submit scenarios to populate the different cells<br />

within the framework based on simple criteria that define the columns/cells.<br />

Define specific “marker” scenarios that are considered illustrative of the type of scenarios within the<br />

framework (similar to what was done for SRES). These markers or illustrative scenarios are not the only<br />

possible quantification of a SSP (or SPA), but will preferably be used in most analyses as a basis for<br />

comparison, in addition to using other scenarios from a specific element in the framework. In the<br />

definition of the markers, it can be decided the degree to which parameters are specified – and how<br />

much is left as choice for individual analysts.<br />

2.4.3 Uncertainty in climate policy and climate impact<br />

A similar discussion exists regarding the specification of the climate projections along the RCP axis. At the very<br />

least, there is a need to indicate clearly how future climate and its uncertainties have been characterized using<br />

different climate models, as the use of different climate models may lead to very different results. The methods<br />

by which climate uncertainties associated with similar levels of radiative forcing are to be addressed by IAV and<br />

other analysts remain to be determined, and it is important that further guidance be provided on how to handle<br />

these important choices (e.g. by clearly identifying the characteristics of different CM model runs).<br />

3. Defining the Shared Socioeconomic Pathways (SSPs)<br />

3.1 Introduction<br />

As discussed in Section 2, the intent of this process is the development of scenarios based on combinations of<br />

climate model projections, socioeconomic conditions, and assumptions about climate policies (including a no<br />

policy reference). Narratives and qualitative and quantitative assumptions about broad development patterns for<br />

major world regions, relevant to impacts, adaptation, and mitigation, define the SSPs. These assumptions<br />

include common inputs required by integrated assessment and impact models, but not typical model outputs<br />

such as greenhouse gas emissions. It is desirable to develop a set of scenarios that present a broad range of<br />

possible development pathways; with reference scenarios based on SSPs and assumptions of no (new) climate<br />

policy, and policy scenarios based on SSPs combined with assumptions about climate policies for reaching a<br />

given RCP level.<br />

This section discusses the framework for defining the content of SSPs. We first discuss the logic used to define<br />

the space of possible futures that the set of SSPs is intended to span, and the relation of this space to the<br />

scenario matrix architecture. We then discuss the dimensions of socioeconomic systems that might be used to<br />

specify particular SSPs, including demographic, economic, institutional, and other dimensions. We distinguish<br />

two variants of SSPs – basic vs. extended – that provide different levels of detail about future development<br />

<strong>Workshop</strong> on Socio-Economic Scenarios - 19

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