This repository contains data and R code used to perform the analysis in the paper "Could detection and attribution of climate change trends be spurious regression?".
To replicate the analysis described in the paper, you will need a working R installation (version 4.1.0 or above). The latest version of the R runtime can be downloaded from CRAN.
Once you have cloned / downloaded the detection repository, the analysis can be replicated interactively by running the commands in analysis.R in the same sequence as they appear in the file.
| Model | Institution |
|---|---|
| ACCESS-ESM1-5 | CSIRO |
| BCC-CSM2-MR | BCC |
| CESM2 | NCAR |
| CNRM-CM6-1 | CNRM-CERFACS |
| CanESM5 | CCCma |
| FGOALS-g3 | CAS |
| GFDL-ESM4 | NOAA-GFDL |
| GISS-E2-1-G | NASA-GISS |
| HadGEM3-GC31-LL | MOHC |
| IPSL-CM6A-LR | IPSL |
| MIROC6 | MIROC |
| MRI-ESM2-0 | MRI |
| NorESM2-LM | NCC |
Time series of annually-averaged global mean surface temperature in historical and hist-GHG experiments from the 13 climate models in the table above are located in the data directory in RData format.
The raw observational datasets are located in the observations directory, alongside a table of source URLs with dates of access.
We acknowledge the World Climate Research Program's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. The models used in this study and the respective modelling centres are listed in the table above. For CMIP the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.