NGFS Climate Scenarios Data Set

Bertram, C., van Ruijven, B. ORCID: https://orcid.org/0000-0003-1232-5892, Hilaire, J., Kriegler, E., Clarke, L., Cui, R., Edmonds, J., Charles, M., et al. (2020). NGFS Climate Scenarios Data Set. 10.5281/zenodo.5782904.

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Abstract

This dataset contains a set of climate scenario that have been developed for the Network for Greening the Financial System (NGFS). The NGFS is a group of 83 central banks and supervisors and 12 observers committed to sharing best practices, contributing to the development of climate– and environment–related risk management in the financial sector and mobilising mainstream finance to support the transition toward a sustainable economy.

The scenarios in this dataset were produced by NGFS Workstream 2 in partnership with an academic consortium from the Potsdam Institute for Climate Impact Research (PIK), International Institute for Applied Systems Analysis (IIASA), University of Maryland (UMD), Climate Analytics (CA), the Eidgenössische Technische Hochschule Zürich (ETH) and the National Institute of Economic and Social Research (NIESR).

The Phase 2 bespoke scenarios are generated by state-of-the-art well-established integrated assessment models (IAMs), namely GCAM, MESSAGEix-GLOBIOM and REMIND-MAgPIE. These models allow the estimation of global and regional mitigation costs, the analysis of energy system transition characteristics, the quantification of investments required to transform the energy system, and the identification of synergies and trade-off of sustainable development pathways.

Technical documentation is available to help users access the datasets. The documentation describes the models and variables, as well as provides detailed guidance for database users. Scenario presentation materials and the user guide are also available at the NGFS portal.

Item Type: Dataset
Additional Information: Registration required at https://data.ece.iiasa.ac.at/ngfs
Research Programs: Energy (ENE)
Depositing User: Luke Kirwan
Date Deposited: 17 Nov 2022 08:58
Last Modified: 17 Nov 2022 09:51
URI: https://pure.iiasa.ac.at/18400

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