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NGFS Transition Pathways
L o a d i n g
Organization
The International Monetary Fund (IMF) - view all
Update frequencyunknown
Last updatedabout 2 months ago
Overview

The selection of key indicators from the Network of Central Banks and Supervisors for Greening the Financial System (NGFS) climate scenarios comprises Primary Energy Mix, Fossil Fuel Prices, Final Energy Mix, Emissions and CCS, Shadow Carbon Price, and Mean Surface Temperature. Sources: NGFS (2023), Scenarios Portal; and IIASA (2023), NGFS Phase 4 Scenario Explorer.Category: Transition to a Low-Carbon EconomyMetadataThe framework of the Network of Central Banks and Supervisors for Greening the Financial System (NGFS) allows to simulate, in a forward-looking fashion, the dynamics within and between the energy, land-use, economy, and climate systems. Consistent with that framework, the NGFS explores a set of seven climate scenarios, which are characterized by their overall level of physical and transition risk. The scenarios in the current Phase IV (NGFS climate scenarios data set) are Low Demand, Net Zero 2050, Below 2°C, Delayed Transition, Nationally Determined Contributions (NDCs), Current Policies, and Fragmented World. Each NGFS scenario explores a different set of assumptions for how climate policy, emissions, and temperatures evolve. To reflect the uncertainty inherent to modeling climate-related macroeconomic and financial risks, the NGFS scenarios use different models, over and above the range of scenarios. These integrated assessment models (IAMs) are, by their acronyms: GCAM, MESSAGEix-GLOBIOM, and REMIND-MAgPIE. For details please see the NGFS climate scenarios presentation the Climate scenarios technical documentation, and the User guide for data access.MethodologyThe database of key indicators is curated by the IMF in collaboration with the NGFS. The full data set can be found at the original sources. The license of the NGFS applies. The transition pathways for the NGFS scenarios have been generated with three well-established integrated assessment models, namely GCAM, MESSAGEix-GLOBIOM and REMIND-MAgPIE. These models combine macro-economic, agriculture and land-use, energy, water and climate systems into a common numerical framework that enables the analysis of the complex and non-linear dynamics in and between these components. The IAM results have been downscaled to the level of 140 countries. For details please see the NGFS climate scenarios presentation, the Climate scenarios technical documentation, and the User guide for data access. The table that follows give the correspondence of the variables in the IMF Climate Change Indicators Dashboard and the NGFS climate scenarios database. Series IMF Variable NGFS Variable Primary Energy Coal Primary Energy|Coal   Oil Primary Energy|Oil   Gas Primary Energy|Gas   Biomass Primary Energy|Biomass   Hydro Primary Energy|Hydro   Wind Primary Energy|Wind   Geothermal Primary Energy|Geothermal   Solar Primary Energy|Solar   Nuclear Primary Energy|Nuclear Energy Prices Price: Coal Price|Primary Energy|Coal   Price: Oil Price|Primary Energy|Oil   Price: Gas Price|Primary Energy|Gas Final Energy Electricity Final Energy|Electricity   Gases Final Energy|Gases   Heat Final Energy|Heat   Hydrogen Final Energy|Hydrogen   Liquids Final Energy|Liquids   Solids Final Energy|Solids Emissions and CCS1) Energy and industrial processes CO2 emissions = Emissions|CO2 – Emissions|CO2|LULUCF Direct+Indirect   LULUCF CO2 emissions Emissions|CO2|LULUCF Direct+Indirect   Total non-CO2 emissions Emissions|Total Non-CO2   Fossil energy CCS Carbon Sequestration|CCS|Fossil   Bioenergy with CCS Carbon Sequestration|CCS|Biomass   Industrial processes CCS Carbon Sequestration|CCS|Industrial Processes Carbon Price Price: Carbon Price|Carbon Surface Temperature2) 5th percentile Country Temperature|Downscaling|5.0th Percentile   50th percentile Country Temperature|Downscaling|50.0th Percentile   95th percentile Country Temperature|Downscaling|95.0th Percentile 1)World emissions are IMF staff calculations. 2)Postprocessed results. World mean surface temperature relative to pre-industrial levels; variable names “AR6 climate diagnostics|Surface Temperature (GSAT)|MAGICCv7.5.3|5.0th Percentile”, “50.0th Percentile”, and “95.0th Percentile”, respectively.Data series: Primary Energy MixFossil Fuel PricesFinal Energy MixEmissions and CCSShadow Carbon PriceMean Surface Temperature

Additional Information
KeyValue
Dcat Issued2023-08-28T04:28:49.000Z
Dcat Modified2024-04-15T22:02:56.670Z
Dcat Publisher Name{{source}}
Guidhttps://www.arcgis.com/home/item.html?id=2ca0bdfafa794355864b853dd2567efb&sublayer=0
Harvest Object Ide66b478a-243d-40c4-ba7a-b8dbae215066
Harvest Source Id4320909c-1d15-442e-8fbd-74ddfdbebf6c
Harvest Source TitleIMF Climate Change Indicators Dashboard
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