Skip to content

ClimateIndicator/forcing-timeseries

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

128 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Effective radiative forcing time series

DOI

This repository generates the following data and plots from the Climate Indicator Project:

  • Greenhouse gas concentrations 1750-2025
  • Effective radiative forcing 1750-2025

As part of the ERF time series, emissions are processed from CEDS and GFED.

Please note that 2025 data is preliminary; in many cases it is based on extrapolations and estimates. The data will not be final until IGCC 2025 is published in early summer 2026.

Bar plot of effective radiative forcing 1750-2025

Line plot of time series of effective radiative forcing 1750-2025

The code also provides a probabilistic ensemble of 1000 forcing time series for the detection and attribution of climate change.

Code also caculates decadal rates of ERF change and human induced warming change (for 2025 we are still waiting on the final temperature assessment) Line plot of time series of decadal rates of change in effective radiative forcing and human induced warming 1970-2023

Reproducibility

Create a conda environment. From the top directory of the repository run

conda env create -f environment.yml

The code is a series of notebooks in the notebooks folder. Run the notebooks in numerical order to reproduce.

All ancillary data is provided in the repository or downloaded by the code except for six volcanic, contrails, and SLCFs datasets that either require registration or are not in the public domain. See the notes in the volcanic-forcing.ipynb, mls-data.ipynb, biomass_emissions.ipynb, cams-slcf.ipynb and contrails.ipynb notebooks for how to obtain the data and where to download it to. Additionally, the Hunga Tonga stratospheric water vapour calculation uses offline radiative transfer simulations that are not part of the repository (but the results are included in the data).

The Decadal trend plot uses data generated by the athropogenic warming repository.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

 
 
 

Contributors