Document multi-model-median regional means at warming levels for selected indices (CMIP6).
Mathias Hauser1
1Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
This data archive is created and maintained in an voluntary effort by its creators. The data are provided without warranty of any kind. Please note that the ownership of all files in the archive remains with the original providers! That means you should still acknowledge the CMIP6 data providers. This work is published under a CC BY-SA 4.0 license by the authors. If you use the this archive please cite 10.5281/zenodo.4603427.
Index | Markdown | csv |
---|---|---|
TXx | TXx.md | TXx.csv |
TNn | TNn.md | TNn.csv |
Rx1day | Rx1day.md | Rx1day.csv |
Rx5day | Rx5day.md | Rx5day.csv |
SM_total | SM_total.md | SM_total.csv |
SM_top | SM_top.md | SM_top.csv |
CDD | CDD.md | CDD.csv |
The used models are listed in data tables
The regional statistics are calculated as follows:
- calculate the index on the original model grid
- calculate the area-weighted mean over the AR6 regions
- calculate anomalies w.r.t. 1850-1900
- calculate the mean over the years where a warming level is reached (see cmip_warming_levels)
- calculate the multi model median
The code is available under https://github.com/IPCC-WG1/Chapter-11/tree/main/code/Table_11.SM_cmip_indices_regional.ipynb.
The changelog of the repository can be found under CHANGELOG.md.
CMIP TEMPERATURES is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
A copy of the license is availabe at LICENSE. If not, see CC BY-SA 4.0.
The raw CMIP6 data are licensed under Creative Commons CC BY-SA 4.0, following the CMIP6 Terms of Use. Note that some models publish the data under a non-commercial license (CC BY-NC-SA 4.0). The license for each particular model dataset can be obtained at the ESGF CoG portal as part of the data citation information.
We thank Urs Beyerle for downloading and curating the CMIP5 and CMIP6 data at the Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland.
We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF.