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9 results for “1.5°C pathway”
Data repository - Dietary shifts increase the feasibility of 1.5°C pathways
<p>This repository contains modelling results of a study conducted with the opensource Integrated Assessment Modelling (IAM) framework REMIND-MAgPIE (REMIND 3.2.0 and MAgPIE 4.6.7)</p> <p>The source code for REMIND 3.2.0 is openly available at https://github.com/remindmodel and https://doi.org/10.5281/zenodo.7852740. <br> The model documentation can be found at https://rse.pik-potsdam.de/doc/remind/3.2.0. Instructions for software installation, running the model and coupling to MAgPIE (tutorials subfolder) are available at https://github.com/remindmodel/remind.</p> <p>The source code for MAgPIE 4.6.7 is openly available at https://github.com/magpiemodel and https://doi.org/10.5281/zenodo.1418752. <br> The model documentation can be found at https://rse.pik-potsdam.de/doc/magpie/4.6.7/. Instructions for software installation and running the model are available at https://github.com/magpiemodel/magpie.</p>
Data from: Sectorial pathways to achieve net-zero and 1.5°C targets for Eu-27: Energy and emissions data to inform science-based decarbonization targets
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Supplementary data as part of the article "The role of carbon capture, utilization and storage for economic pathways that limit global warming to below 1.5 °C" (https://doi.org/10.1016/j.isci.2022.104237).
<p>Data of the plots in Figure 1a and Figure 1b, showing, respectively, the incremental and the integrated global CO<sub>2</sub> emissions for the 1.5 °C-committed decarbonization pathways from IPCC (P1, P2, P3, and P4 pathways) and the one originally obtained in this work (Q pathway).</p>
Net-zero 1.5 °C sectorial pathways for G20 countries: energy and emissions data to inform science-based decarbonization targets
<p><span>This data for global, regional (EU-27), and country-specific (G20 member countries) energy and emission pathways required to achieve a defined carbon budget of under 450 Gt/CO2, developed to limit the mean global temperature rise to 1.5°C, over 50% likelihood. The data were calculated with the 1.5°C sectorial pathways of the One Earth Climate Model—an integrated energy assessment model devised at the University of Technology Sydney (UTS). </span></p> <p><span>The data consist of the following six zip-folder datasets (refer to Section 2 for an explanation of the data):</span></p> <p><span>1. </span><span>Appendix folder: Each file contains one worksheet, which summarizes the overall 1.5°C scenario.</span></p> <p><span>2. </span><span>Sector folder (XLSX): Each file contains one worksheet, which summarizes the industry sectors analysed.</span></p> <p><span>3. </span><span>Sector folder (CSV): The data contained are the same as those described in point 2.</span></p> <p><span>4. </span><span>Sector emissions folder: Each file contains one worksheet, which summarizes the total annual emissions for each industry sector.</span></p> <p><span>5. </span><span>Scope emissions folder (XLSX): Each file contains one worksheet, which summarizes the total annual emissions for each industry sector—with the additional specificity of emission scope. </span></p> <p><span>6. </span><span>Scope emissions folder (CSV): The data contained are the same as those described in point 5.</span></p>
Dietary shifts increase the feasibility of 1.5°C pathways
<p><span>A transition to healthy diets like the EAT-Lancet Planetary Health Diet could considerably reduce GHG emissions. However, the specific contributions of dietary shifts for the feasibility of 1.5°C pathways remain unclear. Here, we use the open-source Integrated Assessment Modeling (IAM) framework REMIND-MAgPIE to compare 1.5°C pathways with and without dietary shifts. We find that a flexitarian diet increases the feasibility of the Paris Agreement climate goals in different ways: The reduction of GHG emissions related to dietary shifts, especially methane from ruminant enteric fermentation, increases the 1.5°C-compatible carbon budget. Therefore, dietary shifts allow us to achieve the same climate outcome with less carbon dioxide removal (CDR) and less stringent CO<sub>2</sub> emission reductions in the energy system, which reduces pressure on GHG prices, energy prices and food expenditures. </span></p> <p><span>This dataset provides raw data for all figures shown in the paper. It includes data for three scenarios: <em>SSP2-NDC</em>, <em>SSP2-1.5°C</em> and <em>SSP2-1.5°C-DietShift</em>. All data is at global level and for the period 2020-2100. </span><span>Raw data for each figure panel is provided on individual data sheets in a single .xlsx file. The structure of the data is identical on each sheet, organized in columns for <em>model</em>, <em>scenario</em>, <em>region</em>, <em>variable</em>, <em>unit</em>, <em>year</em> and <em>value</em>.<br></span></p>
Model version, input data, results, and processing scripts for Speizer et al., "Rapid implementation of mitigation measures can facilitate decarbonization of the global steel sector in 1.5°C-consistent pathways"
<p>Includes the files needed to run the scenarios, analyze the outputs, and produce the figures for Speizer et al., "Rapid implementation of mitigation measures can facilitate decarbonization of the global steel sector in 1.5°C-consistent pathways." </p>
Net-zero 1.5 °C sectorial pathways for G20 countries: energy and emissions data to inform science-based decarbonization targets
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Food matters: Dietary shifts increase the feasibility of 1.5°C pathways in line with the Paris Agreement
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Comprehensive result data for a pathway for the German energy sector compatible with a 1.5°C carbon budget
<p>This data set covers the results of an energy scenario for Germany within a 1.5°C carbon budget. It represents all relevant results from an energ system modelling excersise, coupling two complementary models.</p> <p>The data set consists of two excel files</p> <ul> <li>Comprehensive results of the energy balance based Energy System Model (ESM) for the heat, transport and power sectors for Germany, disaggregated by consumption sectors (residential, service & commerce, industry, transport)</li> <li>Comprehensive results of the linear optimization energy system model REMix for power, heat and sector coupling</li> </ul> <p>Methodology, models and scenario assumption are detailed in:</p> <p>Simon, S., Xiao, M., Harpprecht, C., Pregger, T., Gardian, H., & Sasanpour, S. (submitted). A pathway for the German energy sector compatible with a 1.5°C carbon budget. <em>Sustainability</em>.</p>
ScienceDex guides
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International Brain Laboratory public data
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