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Published May 1, 2023 | Version v2023.05.01
Software Open

Indicators of Global Climate Change 2022

Creators

  • 1. University of Leeds
  • 2. University of Oxford
  • 3. Environment Canada
  • 4. ETH Zürich
  • 5. Mercator Research Institute
  • 6. Imperial College
  • 7. UK Met Office
  • 8. Météo France
  • 9. Australian Bureau of Meteorology
  • 10. Mercator Ocean

Description

This dataset contains standardised data for figures and results used in the Indicators of Global Climate Change paper (https://doi.org/10.5194/essd-2023-166).

The below table details the author(s) of each dataset contained within the repository, and their homepages.

Dataset Author(s) Original code repository
Attribution of historical warming 1850-2022 Tristram Walsh,
Aurélien Ribes,
Nathan Gillett,
Chris Smith		 https://github.com/ClimateIndicator/anthropogenic-warming-assessment
Earth's energy imbalance 1971-2022 Matthew Palmer,
Karina von Schuckmann		 https://github.com/ClimateIndicator/ocean-heat-content
Effective radiative forcing 1750-2022 Chris Smith,
Piers Forster		 https://github.com/ClimateIndicator/forcing-timeseries
Global mean surface temperature anomalies 1850-2022 Blair Trewin https://github.com/ClimateIndicator/GMST
Global temperature extreme anomalies 1950-2022 Mathias Hauser,
Dominik Schumacher,
Sonia Seneviratne		 https://github.com/ClimateIndicator/cip_extremes
Greenhouse gas concentrations 1750-2022 Chris Smith https://github.com/ClimateIndicator/forcing-timeseries
Greenhouse gas emissions 1750-2022 William Lamb https://github.com/ClimateIndicator/GHG-Emissions-Assessment
Remaining carbon budgets in 0.1°C increments Robin Lamboll https://github.com/Rlamboll/CarbonBudget

Each data file has associated metadata in YML format with details on the contact author and original repository of the source code (note no code is retained on this data repository). The metadata files include additional information about each dataset, including short descriptions, file sizes and MD5 hashes.

.md and YML format files can be opened by any text editor (Notepad etc.).

 

Files

ClimateIndicator/data-v2023.05.01.zip

Files (267.2 kB)

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md5:948599aece84490b49c4d6bc2f8dfe5b
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Additional details

Related works

Is supplement to
https://github.com/ClimateIndicator/data/tree/v2023.05.01 (URL)