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12 results for “GHG Emissions”
Monthly aerosol emissions and GHG concentration projections from 2020-2025: modified SSP2-4.5 to account for COVID-19 impacts on sector activity
<p>This repository holds the netcdf files for emissions and concentrations projected by the scenario SSP2-4.5, from the Scenario4MIPs database (<a href="https://esgf-node.llnl.gov/search/input4mips/">https://esgf-node.llnl.gov/search/input4mips/</a>), modified by the country and sector activity levels associated with lockdown, projected out for 5 years after 2020. The details of these activity estimates are available from <a href="https://github.com/Priestley-Centre/COVID19_emissions">https://github.com/Priestley-Centre/COVID19_emissions</a>.</p> <p>The methodology behind these calculations is based on <a href="https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/">https://github.com/Rlamboll/modify_COVID19_netCDF_Emissions/tree/endof2020</a>, a slight modification of the approach used in <a href="https://zenodo.org/record/3947917#.XxR_qyhKhPZ">https://zenodo.org/record/3947917#.XxR_qyhKhPZ</a> to have a different timeframe. </p> <p>Funding was provided by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement nos. 820829 (CONSTRAIN) <a href="http://constrain-eu.org/">http://constrain-eu.org/</a> </p>
GHG Dataset for the frontiers publication "Soil Nitrous Oxide Emission and Methane Exchange from Diversified Cropping Systems in Pannonian Region"
<p>GHG Dataset used in the Frontiers Publication "Soil Nitrous Oxide Emission and Methane Exchange from Diversified Cropping Systems in Pannonian Region". Additionally including CO2 besides N2O and CH4. Includes 3 cropping seasons.</p> <p>The data is also available online on the GHG flux visualisation and calculation tool "gasflxvis": https://sae-interactive-data.ethz.ch/gasflxvis/</p> <p>Further details on the calulation are provided both on gasflxvis and the Frontiers publication. Calculation procedure according the following PLOS ONE publication: http://dx.doi.org/10.1371/journal.pone.0200876</p>
Dataset for the paper: "Di Felice, L.J.; Ripa, M.; Giampietro, M. Deep Decarbonisation from a Biophysical Perspective: GHG Emissions of a Renewable Electricity Transformation in the EU."
<p>Dataset used for the development of scenarios in the publication "Di Felice, L.J.; Ripa, M.; Giampietro, M. Deep Decarbonisation from a Biophysical Perspective: GHG Emissions of a Renewable Electricity Transformation in the EU. Sustainability 2018, 10, 3685." and used for a case study in "Di Felice L., Dunlop T., Giampietro M., Kovacic Z., Renner A., Ripa M., Velasco-Fernández R. – Report on the Quality Check of the Robustness of the Narrative behind Energy Directives. MAGIC (H2020–GA 689669) Project Deliverable 5.4, 30 November 2018". (link: https://magic-nexus.eu/documents/d54-report-narratives-behind-energy-directives).</p> <p>Sources of other secondary data (from papers, reports) specified in the dataset (under tab "input codes")</p>
Uncertainty of EXIOBASE GHG emission acounts 2015
<p>This repository contains GHG emission accounts (also referred to as GHG extensions) and their uncertainties for the year 2015 according to the country and sector resolution of the Multi-Regional Input-Output (MRIO) database EXIOBASE. </p> <p>The data is the outcome of our study published in the Journal of Earth System Science Data (ESSD): <a href="https://essd.copernicus.org/articles/16/2669/2024/essd-16-2669-2024.html">https://essd.copernicus.org/articles/16/2669/2024/essd-16-2669-2024.html</a></p> <p>The GHG emission accounts contain production-based emissions of the three major GHGs (CO2, CH4, N2O) from 11 different categories for 163 industry sectors each in 49 countries and regions covering the entire world. They are aligned with the EXIOBASE version 3.8.2 available on <a href="../records/5589597">Zenodo</a>. </p> <p>All data files starting with <strong>F_ </strong>are stored in the <a href="https://arrow.apache.org/docs/index.html">feather format</a> which allows sharing of data between different platforms (Python, R, C, etc.). The <strong>F_*.feather </strong>files all contain numeric matrices with 33 rows (3 GHGs x 11 categories) and 7987 columns (49 regions x 163 sectors). The columns are in the same order as the EXIOBASE v3 tables thus they can be directly used together with the EXIOBASE v3.8.2 data to calculate GHG footprints.</p> <p><strong>Content of the data files: </strong></p> <ul> <li><a href="../api/records/10041196/draft/files/samples.zip/content">samples.zip</a> contains the 1000 Monte-Carlo samples (1000 F-matrices).</li> <li><a href="../api/records/10041196/draft/files/F_mean.feather/content">F_mean.feather</a>: Mean over all samples.</li> <li><a href="../api/records/10041196/draft/files/F_cv.feather/content">F_cv.feather</a>: Coefficient of Variation (CV) over all samples. CV is defined as the standard deviation divided by the mean.</li> <li><a href="../api/records/10041196/draft/files/F_median.feather/content">F_median.feather</a>: Median over all samples.</li> <li><a href="../api/records/10041196/draft/files/correlation_table.feather/content">correlation_table.feather</a>: A (large) table listing the Pearson correlation coefficients between each different data item of the F-samples. The columns i and j represent the sector-ID</li> <li><a href="../api/records/10041196/draft/files/index_rows.csv/content">index_rows.csv</a> and <a href="../api/records/10041196/draft/files/index_cols.csv/content">index_cols.csv</a>: The indices of the <strong>F_*.feather </strong>matrices (row-names and column-names, respectively). <a href="../api/records/10041196/draft/files/index_cols.csv/content">index_cols.csv</a> can also be merged with the correlation table to find out which sectors are behind the IDs.</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Source data to create the figures of the study "Rising greenhouse gas emissions embodied in the global bioeconomy supply chain" using REX3 with new GHG extension including LULUCF
<p>This repository contains the source data to create the figures of the study <a href="https://doi.org/10.1038/s43247-025-02144-0">Rising greenhouse gas emissions embodied in the global bioeconomy supply chain</a> published in <em>Communications Earth & Environment</em>. The results were calculated with the REX3 database in Version 3.2 of this repository and the GHG extension and matlab codes in Version 3.4 of this repository.</p> <p>Figure 1, and 3–5 were created in Rstudio with the attached Rcode <em>Bioeconomy_GHG_sankeys.R</em></p> <p>Figure 2 was created in tableau with an <a href="https://public.tableau.com/app/profile/livia.cabernard/vizzes">interactive data visualizer</a> that allows to zoom into the global bioeconomy supply chain.</p>
Peatland maps and wetland GHG emission factors
<p>The data set includes maps of degraded (~46 Mha globally) and intact peatland (~375 Mha globally) for the year 2015. The spatial resolution is 0.5 degree. The data set also includes IPCC wetland GHG emission factors for degraded and rewetted peatlands.</p> <p>This dataset has been published originally as supplementary data set in </p> <p>Humpenöder, F., Karstens, K., Lotze-Campen, H., Leifeld, J., Menichetti, L., Barthelmes, A., and Popp, A. (2020). Peatland protection and restoration are key for climate change mitigation. Environ. Res. Lett. <em>15</em>, 104093. DOI <a href="https://10.1088/1748-9326/abae2a">10.1088/1748-9326/abae2a</a>.</p> <p> </p>
FAOSTAT GHG Emissions from Organic Soils
<p>The FAOSTAT domain “Cultivation of Organic soils” contains estimates of nitrous oxide (N<sub>2</sub>O) emissions associated with the drainage of organic soils <em>–</em> using <em>histosols </em>as proxy <em>–</em> for agriculture. Data are computed geospatially, using the Tier 1 default factors of the Intergovernmental Panel on Climate Change (IPCC, 2006). Estimates are available by country, by FAOSTAT regional aggregation and special group, including the Annex I and Non-Annex I Parties to the United Nations Framework Convention on Climate Change (UNFCCC), and with global coverage for the period 1990–2019, with estimates for 2030 and 2050.</p> <p>The FAOSTAT domain “Cultivation of Organic soils” disseminates N<sub>2</sub>O emissions, implied emission factors and underlying activity data, i.e. area (in ha) of organic soils drained for agriculture. Drainage and associated emissions are assessed separately for IPCC land use categories cropland and grassland, corresponding to FAO land use categories ‘’cropland’’ and ‘’permanent meadows and pastures.’’ GHG estimates are available in N<sub>2</sub>O and in CO<sub>2</sub> equivalent (CO<sub>2</sub>eq). Conversion to CO<sub>2</sub>eq is made via Global Warming Potentials (GWP) coefficients. Results are disseminated separately for three different options currently in use in reporting, namely GWPs from: <em>a)</em> IPCC Second Assessment Report (SAR)(IPCC, 1996); <em>b)</em> IPCC Fourth Assessment Report (AR4) (IPCC, 2007); and <em>c)</em> IPCC Fifth Assessment Report (AR5)(IPCC, 2014). The original FAOSTAT domains can be found here:</p> <p>Cultivation of Organic Soils: <a href="http://www.fao.org/faostat/en/#data/GV">http://www.fao.org/faostat/en/#data/GV</a></p> <p>Drained Organic Soils on cropland: <a href="http://www.fao.org/faostat/en/#data/GC">http://www.fao.org/faostat/en/#data/GC</a> and</p> <p>Drained Organic Soils on grassland: <a href="http://www.fao.org/faostat/en/#data/GC">http://www.fao.org/faostat/en/#data/G</a>G</p> <p> </p> <p>The FAOSTAT emissions estimates may not coincide with GHG data reported by member countries to relevant international reporting processes. The aim of this domain is to provide a global reference database for assessing regional and global trends and in support of national data quality/data assurance processes.</p>
Code from: Structural design to mitigate concrete GHG emissions
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Calculation of the GHG emissions of a European research project on electrified vehicles
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Inventory and GHG emissions for Milk Production Systems from systematic review
<p>Inventory table created from a systematic review on LCA of milk production systems in Europe and the emissions from animals and soils and background emissions obtained from the proof of concept.</p>
Supplementary data on car company reduction target analysis and GHG emission model
<p>This dataset contains supplementary information for the Master's thesis "<em>Greenhouse gas emission coverage and reduction potentials of scope 3 emissions in car manufacturing"</em> published on 16 November 2022 at Utrecht University. The data consists of two separately files, including the car company reduction target analysis and the GHG emission calculation model that were covered in the thesis report. The supplementary data can be used in combination with the final thesis report.</p>
Model output data for Fujimori et al., Impacts of GHG emissions abatement measures on agricultural market and food security
<p>Model output data for "Fujimori et al., Impacts of GHG emissions abatement measures on agricultural market and food security" submitted to Nature Food</p>
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