Forestry - REMIND-MAgPIE: Difference between revisions

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|IsDocumentationOf=REMIND
|IsDocumentationOf=REMIND-MAgPIE
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If run in stand-alone mode, REMIND relies on results from MAgPIE to account for CO<sub>2</sub> emissions from land use, land use change and forestry. Reduced emissions from deforestation and forest degradation (REDD) as a mitigation option is represented via a climate policy dependent marginal abatement cost curve
If run in stand-alone mode, REMIND-MAgPIE relies on results from MAgPIE to account for CO<sub>2</sub> emissions from land use, land use change and forestry. Reduced emissions from deforestation and forest degradation (REDD) as a mitigation option is represented via a climate policy dependent marginal abatement cost curve


The coupled REMIND-MAgPIE system allows for a detailed analysis of forestry-based mitigation options in the context of an integrated climate change mitigation scenario.
The coupled REMIND-MAgPIE system allows for a detailed analysis of forestry-based mitigation options in the context of an integrated climate change mitigation scenario.

Latest revision as of 19:16, 21 November 2021

Alert-warning.png Note: The documentation of REMIND-MAgPIE is and is not yet 'published'!

Model Documentation - REMIND-MAgPIE

    Corresponding documentation
    Previous versions
    Model information
    Model link
      Institution Potsdam Institut für Klimafolgenforschung (PIK), Germany, https://www.pik-potsdam.de/research/sustainable-solutions/models/remind.
      Solution concept
      Solution method
      Anticipation

      If run in stand-alone mode, REMIND-MAgPIE relies on results from MAgPIE to account for CO2 emissions from land use, land use change and forestry. Reduced emissions from deforestation and forest degradation (REDD) as a mitigation option is represented via a climate policy dependent marginal abatement cost curve

      The coupled REMIND-MAgPIE system allows for a detailed analysis of forestry-based mitigation options in the context of an integrated climate change mitigation scenario.