Data repository for Indicators of Global Climate Change

This repository contains standardised data for figures and results used in the Indicators of Global Climate Change 2023 paper, submitted to Earth System Science Data.

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

Dataset	Author(s)	Original code location(s)
Attribution of historical warming 1850-2023	Tristram Walsh, Aurélien Ribes, Nathan Gillett, Chris Smith	https://github.com/ClimateIndicator/anthropogenic-warming-assessment
Earth's energy uptake 1971-2023	Matthew Palmer, Karina von Schuckmann	https://github.com/ClimateIndicator/ocean-heat-content
Effective radiative forcing 1750-2023	Chris Smith, Piers Forster	https://github.com/ClimateIndicator/forcing-timeseries
Global mean surface temperature anomalies 1850-2023	Blair Trewin	https://github.com/ClimateIndicator/GMST
Global temperature extreme anomalies 1950-2023	Mathias Hauser, Dominik Schumacher, Sonia Seneviratne	https://github.com/ClimateIndicator/cip_extremes
Greenhouse gas concentrations 1750-2023	Chris Smith, Xin Lan, Bradley Hall, Jens Muhle, Paul Krummel	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.).