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Modelling tools to assess the impact of the implementation of response measures
For further information, or suggestions of additional entries, please email the Secretariat at secretariat@unfccc.int
The following portal contains information on modelling tools that have been, or could be, useful in assessing the
impact of the implementation of response measures. This information is sourced from outcomes of previous
UNFCCC workshops, existing model databases and more general references and sources. The amount of
information available varied considerably across models and model groups. The following structure is
used:
- model name and main web page;
- name of organization and contact details;
- basic description;
- relevance in assessing the impact of response measures to climate change;
- geographical coverage;
- main area of application;
- examples of projects using the model;
- examples of other modelling projects and publications.
The descriptions are intended to be short and easily understandable. If users require further information
they can follow the web links or contact details.
The main criteria for selecting the models included in the web portal were:
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Model structure and classifications: This faciltated the
identification of models covering the areas relevant for the analysis of the impacts of response measures to
climate change outlined above.
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Geographical coverage: More importance was assigned to models that
cover all regions of the world. However, models with partial world coverage and national (mainly large
country) coverage are included if they are relevant to analysis of response measures, or can provide good
examples of exercises assessing national measures.
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Documentation and evidence of maintenance: This information provides
evidence that the model is being maintained and can therefore reasonably be assumed to include recent
data.
The database is divided into two sections, based on the focus of the modelling tools. The two sections
are:
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Integrated Assessment Models (IAMs) and Energy-Environment-Economy (E3)
models: For this context, IAMs and E3 models are most
relevant in assessing the impact of the implementation of response measures to climate change, as they have a
strong focus on socio-economic aspects. These models have detailed sectoral and regional
classifications that can be useful in assessing the impacts of economic diversification and trade
and spillover impacts. They are however less well equipped to address technological development.
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Energy models: Energy models
are particularly relevant for addressing energy efficiency and analysing the impacts of new
technologies. Many are also relevant to the analysis of different pricing systems, for example through
changes in taxation policy or subsidies. Generally, however, their coverage of socio-economic issues is
less well-defined.
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