Difference between revisions of "IAMC wiki"
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Revision as of 16:10, 21 July 2016
Integrated assessment models (IAMs) and energy-economy models have become central tools for informing decision makers and society at large about the choices for long-term global and regional climate mitigation strategies. There is an increasing demand for improved representations of complex energy, climate and land-use system interactions and thorough validation of model behavior in order to increase user confidence in climate policy assessments. The ADVANCE project, sponsored by the European Commission under its 7th Framework Programme, responds to this demand by facilitating the development of a new generation of IAMs. In the past, methodological innovations and improvements in IAMs and their application to policy making were hindered by the difficulties in communicating complexities in modeling and data approaches. The ADVANCE project is trying to make a coordinated effort on improving model transparency, model validation, and data handling.
A central objective of ADVANCE is to provide harmonized documentation that elucidates the structure, assumptions, limitations and input data of all participating IAMs in the ADVANCE project. To make this effort useful beyond the immediate project participants it was decided to start a review process that involves both the broader modeling community as well as stakeholders interested in model results. Beyond the review process, it is planned to invite other modeling teams to also provide their model documentation in the harmonized format developed by the ADVANCE project consortium. So far, documentation for eight models is available and listed in Table 1 below.
As part of a consultation process with stakeholders involved in the ADVANCE project, it was decided as a first step to develop documentation at two levels of aggregation. It was envisaged that this approach would be particularly helpful for policy makers and other users of model results in understanding key differences between modeling approaches and the representation of different sectors in IAMs. It thus needs to be emphasized that this documentation was not designed to provide information at a level that would enable other researchers to rebuild models and reproduce the results of existing scenarios. However in principle, the current structure of the harmonized model documentation allows for providing extra information as part of appendices describing a model’s mathematical formulation and input data, although no effort has been made to harmonize the extent or format to which such information is provided. Developing a documentation standard that would include model code as well as input datasets is a potential follow-up activity.
The two levels of aggregation for model documentation are described as:
- “Reference cards” which are designed to provide a quick overview of the most important model characteristics, in the form of bulleted lists and tables. The structure of these 2-page reference cards is identical for all participating models to facilitate an easy comparison of main features across models. The key aim of the reference cards was for an accessible document to provide insight for decision makers.
- More comprehensive documentation (some 30 pages) that use a standardized but flexible template, to describe the models’ specificities. This documentation elucidates model structure, mathematical formulations, and to some extent relevant input data sets. In addition, there is the possibility to include appendices with more detailed information on, for example, mathematical formulations and data sets used. The audience for the documentation is energy-land-climate modelers, technical staff in government and firms, and PhD students and postdoctoral researchers new to the field.
- Elmar Kriegler, Nils Petermann, Volker Krey, Valeria Jana Schwanitz, Gunnar Luderer, Shuichi Ashina, Valentina Bosetti, Jiyong Eom, Alban Kitous, Aurélie Méjean, Leonidas Paroussos, Fuminori Sano, Hal Turton, Charlie Wilson, Detlef Van P Vuuren (2015). Diagnostic indicators for integrated assessment models of climate policy. Technological Forecasting and Social Change, 90, Part A (), 45 - 61. http://dx.doi.org/10.1016/j.techfore.2013.09.020