Model and observations used for Sigmond, M. et al, 'Large contribution of ozone-depleting substances to global and Arctic warming in the late 20th century", Geophysical Research Letters

This dataset contains all the data used for the study "Large contribution of ozone-depleting substances to global and Arctic warming in the late 20th Century" by Sigmond et al, which was submitted to Geophysical Research Letters on July 26, 2022. It contains the following directories:

- AR6: csv data files containing timeseries of Effective Radiative Forcing (ERF) as assessed by the IPCC Sixth Assessment Report (AR6).

-  CanESM5/DATA_siconc_canesm5_past_[expname] contain timeseries of September Sea Ice Extent (SSIE), where expname=historical (all forcing) or hist-noXXX (as historical, except that XXX is fixed to 1955 values)

- CanESM5/DATA_tas_canesm5_past_[expname] contains timeseries of surface air temperature (am_: annual mean, arcam_: Arctic and annual mean, gmam_: Global and annual mean). expname as above 

- CanESM5/IN_TOA_COUPLED_CanESM5 contain timeseries of the global mean top of atmosphere net raditative flux.  his=historical (all forcing) run, rms0056=fixed CFC run, rms0058=fixed CFC+stratospheric ozone run, rms0065: fixed CO2 run, and rms0066=fixed aerosol run.

- CanESM5_uncoupled/DATA_rtmt_canesm5_YYYY: contains timeseries of RTMT (top of atmosphere radiative imbalance) in the uncoupled (fixed 1955 SST/SI) CanESM5 simulations. YYYY=fall: historical, faer: fixed aerosols, fco2: fixed CO2, fods: fixed CFC runs

- OBSERVATIONS: contains timeseries of observational September Sea Ice Extent and surface air temperature used in the study

- data_GSAT+ASAT+ERF+efficacies_2001-2005min1955.txt: contains the most import post-processed data 

Python code used to create these files from the raw model output are available at https://gitlab.com/michael.sigmond/cfc/