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9 results for “Paris Agreement”
Data for study "Realisation of Paris Agreement pledges may limit warming just below 2°C"
<p>This is the data repository with country-level data and individual scenario data for the study “Realisation of Paris Agreement pledges may limit warming just below 2°C”. Please find below a description of the different data sources available. </p> <p><strong>Emissions Scenario Data (scenarios_12Nov2021a_CR.csv). </strong>The complete set of infilled and extended emissions for each scenario presented in the study. The emissions timeseries span from 2015 to 2100 for 52 emissions species required to run MAGICC7.</p> <p><strong>Scenario Statistics Table (stats_12Nov2021a_CR_short.csv).</strong> Summary statistics for the scenarios used in the sensitivity study. Statistics available include Exceedance probabilities, peak warming, year of peak warming and warming in 2100.</p> <p><strong>Supplementary Table S1 (supplementary_table-s1.csv) - </strong>Estimate of total GHG emissions (excl. LULUCF) in 1990, 2010, 2019 and for 2025 and 2030 under the NDCs. The ‘lower’ and ‘higher’ end of the range span the four cases of full implementation and ‘unconditional-only’ NDC quantification, with their respective ranges (e.g. Australia’s 26%-28% target). Historical data based on country-level data in NDCs and PRIMAP-hist CR. Aggregation of CO2, CH4, N2O, HFCs, PFCs, and SF6 emissions performed in GWP-100 AR6 metrics. Note that the common reporting guidelines under the Paris Agreement’s transparency framework currently chose GWP-100 AR5 metric as default (Decision 5/CMA.3, UNFCCC, 2021).</p> <p><strong>Supplementary Table S2 (supplementary_table-s2.csv) </strong>An estimate of potentially additional methane reductions if the Global Methane Pledge were implemented on a country-by-country level with a 30% reduction. Of the 104 countries signed up by 2 Nov 2018, 101 are here considered (with no sufficient methane data availability for Niue, Palau and Federal State of Micronesia).<strong> </strong></p> <p><strong>Scenario Timeseries (timeseries_12Nov2021a_CR.csv). </strong>Surface Temperature and Kyoto Greenhouse Gas emissions excluding CO2 AFOLU for NDC scenarios presented in the study.<strong> </strong></p> <p><strong>IEA Scenario Timeseries (timeseries_IEA.csv). </strong>Surface Temperature and Kyoto Greenhouse Gas emissions excluding CO2 AFOLU for the IEA scenarios presented in the study.</p> <p>Contact Jared Lewis <jared.lewis@climate-resource.com> for additional data about the target scenarios.</p>
Data for "Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 recovery packages"
<p>This dataset contains the underlying data for the following publication: Tanaka, K., C. Azar, O. Boucher, P. Ciais, Y. Gaucher, D. J. A. Johansson (2022) Paris Agreement requires substantial, broad, and sustained policy efforts beyond COVID-19 public stimulus packages. <em>Climatic Change</em> <strong>172, </strong>1 (2022). https://doi.org/10.1007/s10584-022-03355-6</p> <p>Earlier manuscripts were published as a preprint. https://arxiv.org/abs/2104.08342</p>
Data for publication "Committed sea-level rise under the Paris Agreement and the legacy of delayed mitigation action".
<p>Data underlying the publication "Committed sea-level rise under the Paris Agreement and the legacy of delayed mitigation action".</p> <p>Journal: Nature Communications</p> <p>Authors: <em>Matthias Mengel<sup>1*</sup></em><em>, Alexander Nauels</em><sup><em>2</em></sup><em>, Joeri Rogelj</em><sup><em>3,4</em></sup><em>, Carl-Friedrich Schleussner<sup>1,5</sup></em></p> <p>(1) Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03, D-14412 Potsdam, Germany</p> <p>(2) Australian-German College of Climate & Energy Transitions, The University of Melbourne, Parkville, Victoria 3010, Australia</p> <p>(3) ENE Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, Laxenburg A-2361, Austria</p> <p>(4) Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, Zurich 8006, Switzerland</p> <p>(5) Climate Analytics, Ritterstr. 3, 10969 Berlin, Germany</p> <p>(*) email matthias.mengel@pik-potsdam.de</p> <p>Abstract:</p> <p>Sea-level rise is a major consequence of climate change that will continue long after emissions of greenhouse gases have stopped. The 2015 Paris Agreement aims at reducing climate-related risks by reducing greenhouse gas emissions to net zero and limiting global-mean temperature increase. Here we quantify the effect of these constraints on global sea-level rise until 2300 including Antarctic ice-sheet instabilities. We estimate median sea-level rise between 0.7 and 1.2m if net zero greenhouse gas emissions are sustained until 2300, varying with the pathway of emissions during this century. Temperature stabilization below 2°C is insufficient to hold median sea-level rise until 2300 below 1.5m. We find that each 5-year delay in near-term peaking of CO2 emissions increases median year-2300 sea-level rise estimates by ca. 0.2m, and extreme sea-level rise estimates at the 95th percentile by up to 1m. Our results underline the importance of near-term mitigation action for limiting long-term sea-level rise risks.</p> <p> </p> <p>Large zip files provides data. Small zip file python code for plotting and writing supplementary data.</p>
Freshwater resources under success and failure of the Paris climate agreement
<p>This dataset represents the core output of the analysis presented in: Heinke, J., Müller, C., Lannerstad, M., Gerten, D., and Lucht, W.: Freshwater resources under success and failure of the Paris climate agreement, Earth Syst. Dynam., 10, 205-217, 10.5194/esd-10-205-2019, 2019. Please refer to this publication for a comprehensive description of methods and references to the datasets and materials used to produce this data.</p> <p>When using the data, cite it as follows: Heinke, Jens, Müller, Christoph, Lannerstad, Mats, Gerten, Dieter, & Lucht, Wolfgang (2019). Freshwater resources under success and failure of the Paris climate agreement [Data set]. Zenodo. http://doi.org/10.5281/zenodo.2562056. Please also cite the reference article that this dataset belongs to.</p> <p> </p> <p>Files:</p> <ul> <li>frac_drought_19gcm_8gmt.nc contains the fraction of drought months for 19 GCM patterns and 8 levels of global mean temperature increase</li> <li>frac_drought_ref.nc contains the fraction of drought months for the reference case (equivalent to global mean temperature increase in 2009)</li> <li>mean_annual_discharge_19gcm_8gmt.nc contains mean annual discharge for 19 GCM patterns and 8 levels of global mean temperature increase</li> <li>mean_annual_discharge_ref.nc contains mean annual discharge for the reference case (equivalent to global mean temperature increase in 2009)</li> <li>q10_19gcm_8gmt.nc contains 5-day average peak flow exceeded in 1 of 10 years for 19 GCM patterns and 8 levels of global mean temperature increase</li> <li>q10_ref.nc contains 5-day average peak flow exceeded in 1 of 10 years for the reference case (equivalent to global mean temperature increase in 2009)</li> <li>water_crowding_1950-2010.nc contains estimates of grid-based water crowding for the historic period (1950-2010)</li> <li>water_crowding_2011-2100_5ssp.nc contains estimates of grid-based water crowding for the scenario period (2011-2100) for 5 different SSPs.</li> </ul> <p>All data have a spatial resolution of 0.5° x 0.5° and cover the global land area except Antarctica.</p> <p> </p> <p> </p> <p> </p>
Raw Dataset for Ocean Commitments Under the Paris Agreement
<p>This dataset is uploaded to complement the manuscript Gallo et al. Ocean Commitments Under the Paris Agreement. The dataset includes calculations of the Marine Focus Factor (MFF) for each Nationally Determined Contribution (NDC) analyzed, as well as information about which countries including which marine categories in their NDCs. Finally, the dataset provides raw data used for the multiple linear regression analysis reported in the manuscript, which tests a series of explanatory variables for their ability to explain variance in the MFF. Each raw datasheet is followed by a spreadsheet that provides additional details on the datasets. We hope that the availability of this raw data will allow other scholars interested in this analysis to build on our findings. </p>
Data for paper Economic disparity among generations under Paris Agreement
<p>The datasets here are used to replicate the results Economic disparity among generations under Paris Agreement in paper, using the code available at https://github.com/climate-change-ucsb/generation-disparity</p> <p>The file age structure.csv is used to generate the Figure 2e in the paper, and is derived from SSP database. </p> <p>The ZIP file data.zip is the data used to calculate the benefits of climate change mitigation, which is needed for replicating the results in https://github.com/climate-change-ucsb/generation-disparity. The original source of this data is on https://github.com/country-level-scc/cscc-paper-2018/tree/master/data.</p> <p>The ZIP file gadm28_levels.shp.zip is the shapefile fo country boundaries, and is available at https://gadm.org/.</p> <p>cytemp is the data file generated by using the code and data in https://github.com/wmadavis/BDD2018 using the 02DataProcessing.R scripts (https://github.com/wmadavis/BDD2018/blob/master/scripts/02DataProcessing.R).</p> <p>Population structure.xlsx is the data used to derive the age structure.csv, and can be accessed from UN population prospect.</p> <p>Life expectancy at birth.xls is available at world bank open data.</p> <p>temp.csv is the temperature change from 2020 to 2100 in 169 countries.</p>
Food matters: Dietary shifts increase the feasibility of 1.5°C pathways in line with the Paris Agreement
Open the record for dataset details and reuse information.
Data and code for the shiny app of the paper Economic disparity among generations under Paris Agreement
<p>This datasets contains the code and data used to generate the website <a href="https://climate-change.shinyapps.io/generation_disparity/?_ga=2.163158204.1233661101.1626298966-1055362809.1623199649">https://climate-change.shinyapps.io/generation_disparity/</a> in the paper Economic disparity among generations under Paris Agreement.</p>
Data for Evaluating China's role in achieving the 1.5℃ target of the Paris Agreement
<p>Supplementary data</p>
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