Data for climate mitigation scenarios with persistent COVID-19 related energy demand changes

This repository contains data for the main text figures plus some supplementary figures in the article: Kikstra et al 2021 Nat. Energy. DOI: 10.1038/s41560-021-00904-8 This dataset should be cited as: Kikstra et al. (2021). Data for climate mitigation scenarios with persistent COVID-19 related energy demand changes. DOI: 10.5281/zenodo.5211169 In order to reproduce the figures, one needs to use the script that is available on GitHub at: https://github.com/iiasa/covid-energy-demand-scenarios The most accessible way of exploring the scenario data behind this article would be to go to https://data.ece.iiasa.ac.at/engage/#/workspaces/60. This goes to a web tool hosted by the International Institute of Applied Systems Analysis (IIASA) which provides access to a database of these and more variables of interest, defined for each scenario on the detail of MESSAGE regions, with a few example workspaces available within the ENGAGE Scenario Explorer. The Scenario Explorer is a versatile open access tool to browse, visualize and download data and results. Users can freely create a private workspace where customized plots can be saved and shared. For tutorials on how to use the Scenario Explorer, please visit https://software.ece.iiasa.ac.at/ixmp-server/tutorials.html. The scenarios that were used for the IPCC Special Report on 1.5C warming (SR1.5) have been made available at https://data.ece.iiasa.ac.at/iamc-1.5c-explorer/. The data is available for download at the ENGAGE Scenario Explorer. The license permits use of the scenario ensemble for scientific research and science communication, but restricts redistribution of substantial parts of the data. Please refer to the FAQ and legal code for more information.This study was funded by European Union's Horizon 2020 research and innovation programme under grant agreement no. 821471 (ENGAGE) (J.S.K., A.V., B.B.-K., F.L., B.v.R., J.R., B.Z., O.F. and K.R.). This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 821124 (NAVIGATE) (F.L., B.v.R., C.W. and K.R.). This work was supported by the Natural Environment Research Council under grant agreement no. NE/S007415/1 (J.S.K.)