Published April 3, 2024 | Version v1.2.0
Dataset Open

Emissions gap NDC and net zero findings after COP27

  • 1. Imperial College London
  • 2. World Resources Institute
  • 3. PBL Netherlands Environmental Assessment
  • 4. New Climate Institute, Cologne
  • 5. Centre for Energy and Environmental Economics (CENERGIA),

Description

Analysis of the level and robustness of various government climate pledges, both 2030 NDCs and net zero goals. This repository contains the data required to run https://github.com/Rlamboll/Emissions_Gap.

"Analysis_update_12_14 (2).xlsx" contains the 2023 assessment of net zero pledges by governments in terms of both their quality and content. "Data_forextensions_PostCOP27_master.xlsx" contains the estimates of emissions until 2030 based on NDCs after COP27, "Data_forextensions_EGR2023_master.xlsx" contains the updated version for the paper "Credibility gap in net-zero climate targets leaves world at high risk".

"2022_emission_gap_temp_summary_data.csv" is the output of the complete process. 

"kyoto_and_co2_emissions_summary_23.65.csv" is the Kyoto total and CO2 emissions for each scenario, "infilled_extended_and_infilled_unep_23.65.csv" is the complete set of emissions for each scenario. 

Versions 1.0.0 and 1.0.1 are identical in terms of processing, but more data is uploaded for 1.0.1 with scenarios with additional carbon price increase rates. Version 1.1.0 contains the Data_forextensions_EGR2023_master file. Version 1.2.0 contains a bugfix affecting net zero targets applied to the OECD+ regional emissions, and includes emissions data. 

Data and calculation are associated with the paper at DOI: 10.1126/science.adg6248

Files

2023_emission_gap_temp_summary_data.csv

Files (77.9 MB)

Name Size Download all
md5:4e8e2f1d8e12633aaea0a755d7fe99c7
64.6 MB Preview Download
md5:12cfda562841dc293ada99eb2cddacdd
104.1 kB Download
md5:9da944b98d61096d56601394bc5b88c0
63.7 kB Download
md5:408fd27713d7e6e5c77eb2389f819be4
30.8 kB Download
md5:2337053019daea5ba2b3404838f1967f
10.6 MB Preview Download
md5:4c74138445150d75b34a6d347627b9d0
2.5 MB Preview Download

Additional details

References

  • DOI: 10.1126/science.adg6248