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  • THE CONSORTIUM
    • IAMC
      • About us
      • Mission
      • What are IAMs?
      • Governance
      • IAMC Collaborations
      • Statement of Scientific Integrity
    • EVENTS
      • Annual Meetings
      • Webinars
      • Supported Events
    • MEMBERSHIP
      • Members
      • How to become a member
    • AWARDS
      • Lifetime Achievement Award
      • Award for extraordinary contributions to the field of IAM
      • Award for Early Career Researcher
      • Best Poster Award
  • SCIENTIFIC WORKING GROUPS
    • Data protocols and management
    • Evaluation and diagnostics
    • Scenarios
    • Scenarios for Climate-related Financial Analysis
    • National scenarios
  • RESOURCES
    • Projects
    • Models & Documentation
    • Scenario Databases
    • Tools & Visualization
    • COVID-19 Related Work
    • Publications
  • NEWS & JOBS
    • IAMC Announcements
    • Newsletter
    • Job opportunities
    • News from the community
    • Submit news
  • CONTACT
TOOL

mipplot: open-source tool for visualization of climate mitigation scenarios

  • Geographical scope:Global, Regional
  • Time horizon:2000-2100
  • Initial Release:2018
  • Institution(s):Institute for Future Initiatives, University of Tokyo, Renewable Energy Institute, Institute for Global Environmental Strategies, National Institute for Environmental Studies (NIES), Chinou Jouhou Shisutemu Inc.
  • Link:https://github.com/UTokyo-mip/mipplot
  • Contact:Ju Yiyi, Masahiro Sugiyama, Diego Silva Herran, Wang Jiayang, Akimitsu Inoue
Synthesizing and communicating knowledge on climate change to policymakers and stakeholders is often difficult due to the complexity and diversity of underlying research. As a “translation” instrument, the open-source R package mipplot can be used to visualize data of long-term climate mitigation scenarios. With simple commands and under a user-friendly R language platform, this tool generates plots in multiple languages for any scenario dataset following the data submission format of the Integrated Assessment Modeling Consortium.
The initial audience of mipplot are researchers and students interested in climate change mitigation scenarios, expected to be able to handle R packages via function calls. The tool’s design also aims to reach stakeholders without technical expertise on model or data manipulation, by including an interactive interface. With the two plotting approaches, mipplot offers greater flexibility of inputs and suits both experts and non-experts. Moreover, its capability of specifying aggregation rules and different display languages extends its applicability to a broader range of users.
Please find mipplot v0.3.0 here.
https://github.com/UTokyo-mip/mipplot
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