ClimateIndicator/forcing-timeseries

Effective radiative forcing time series

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

• Greenhouse gas concentrations 1750-2023
• Effective radiative forcing 1750-2023

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

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

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. Some generate emissions or concentrations and need to be run first. This order should work.

• contrails.ipynb
• biomass-emissions.ipynb
• slcf-emissions.ipynb
• shipping-alternative.ipynb
• slcf-comparison.ipynb
• trace-gas-global-mean.ipynb
• invert-concentrations.ipynb
• mls-data.ipynb (then, run radiative transfer scheme)
• volcanic-forcing.ipynb
• make-forcing.ipynb
• forcing-analysis.ipynb
• radiative-forcing-barchart.ipynb
• decadal-trends.ipynb

All ancillary data is provided in the repository or downloaded by the code except for four volcanic and contrails datasets that require registration. See the notes in the volcanic-forcing.ipynb, mls-data.ipynb and contrails.ipynb notebooks for how to obtain the data and where to download it to.

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