<p>The majority of scenarios in the IPCC database are generated by integrated assessment models (IAMs) and come from model intercomparison projects. However, the way in which the current model intercomparison projects are organized is not open to all IAM teams worldwide. Here we propose a transparent and inclusive platform that is open to anyone with an IAM regarding protocols development, scenario submissions and results evaluation. We discuss the challenges of this approach, particularly human resources and financial support. We identify diversity in the level of model capability and quality of model output as possibly critical issues. Despite such challenges, the IAM community and its scientific activities can improve and benefit from the proposed platform, ultimately contributing to better climate policymaking.</p>

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Towards an open model intercomparison platform for integrated assessment models scenarios

  • Shinichiro Fujimori,
  • Volker Krey,
  • Keywan Riahi,
  • Masahiro Sugiyama,
  • Tomoko Hasegawa,
  • James Edmonds,
  • Celine Guivarch,
  • Sergey Paltsev,
  • Steven Rose,
  • Roberto Schaeffer,
  • Massimo Tavoni,
  • Saritha Sudharmma Vishwanathan,
  • Detlef van Vuuren,
  • Matthias Weitzel

摘要

The majority of scenarios in the IPCC database are generated by integrated assessment models (IAMs) and come from model intercomparison projects. However, the way in which the current model intercomparison projects are organized is not open to all IAM teams worldwide. Here we propose a transparent and inclusive platform that is open to anyone with an IAM regarding protocols development, scenario submissions and results evaluation. We discuss the challenges of this approach, particularly human resources and financial support. We identify diversity in the level of model capability and quality of model output as possibly critical issues. Despite such challenges, the IAM community and its scientific activities can improve and benefit from the proposed platform, ultimately contributing to better climate policymaking.