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Towards an open model intercomparison platform for integrated assessment models scenarios

Journal Article · · Nature Climate Change
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [10];  [11];  [12];  [13];  [14]
  1. Kyoto Univ. (Japan); National Institute for Environmental Studies (NIES), Tsukuba (Japan); International Institute for Applied System Analysis (IIASA), Laxenburg (Austria)
  2. International Institute for Applied System Analysis (IIASA), Laxenburg (Austria); Norwegian Univ. of Science and Technology, Trondheim (Norway)
  3. International Institute for Applied System Analysis (IIASA), Laxenburg (Austria); Graz Univ. of Technology (Austria)
  4. Univ. of Tokyo (Japan)
  5. Kyoto Univ. (Japan); National Institute for Environmental Studies (NIES), Tsukuba (Japan); Ritsumeikan Univ., Kusatsu (Japan)
  6. Pacific Northwest National Laboratory (PNNL), College Park, MD (United States). Joint Global Change Research Institute
  7. Centre International de Recherche sur l’Environnement et le Développement (CIRED), Nogent-sur-Marne (France); Ecole des Ponts, Paris (France)
  8. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  9. Electric Power Research Inst. (EPRI), Washington, DC (United States)
  10. Univ. Federal do Rio de Janeiro (Brazil)
  11. RFF-CMCC European Institute on Economics and the Environment, Milan (Italy); Politecnico di Milano, Milan (Italy); Fondazione Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Milan (Italy)
  12. Kyoto Univ. (Japan); Indian Institute of Management-Ahmedabad (India)
  13. PBL Netherlands Environmental Assessment Agency, The Hague (Netherlands)
  14. European Commission, Seville (Spain). Joint Research Centre (JRC)
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. Here, 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.
Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
3003184
Report Number(s):
PNNL-ACT-SA--10930
Journal Information:
Nature Climate Change, Journal Name: Nature Climate Change Journal Issue: 11 Vol. 15; ISSN 1758-6798; ISSN 1758-678X
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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