Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/mathause/cmip_indices_regional


https://github.com/mathause/cmip_indices_regional

Last synced: about 1 month ago
JSON representation

Awesome Lists containing this project

README 

        
#  Multi-model-median regional means at warming levels for selected indices (CMIP6)



Document multi-model-median regional means at warming levels for selected indices (CMIP6).



[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4603428.svg)](https://doi.org/10.5281/zenodo.4603428)



*Mathias Hauser*1



1Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland



## Disclaimer



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](http://creativecommons.org/licenses/by-sa/4.0/) license by the authors. If you use the this archive please cite [10.5281/zenodo.4603427](https://doi.org/10.5281/zenodo.4603427).



## Indices



:warning: The multi model median depends on the models that are in the ensemble. A ensemble of opportunity is used here: all available models are included. Only one simulation per model is included.



| Index     | Markdown | csv |

|:----------|:---------|:----|

|TXx|[TXx.md](indices_multi_model_median/md/cmip_indices_multi_model_median_regional_TXx.md)|[TXx.csv](indices_multi_model_median/csv/cmip_indices_multi_model_median_regional_TXx.csv)|

|TNn|[TNn.md](indices_multi_model_median/md/cmip_indices_multi_model_median_regional_TNn.md)|[TNn.csv](indices_multi_model_median/csv/cmip_indices_multi_model_median_regional_TNn.csv)|

|Rx1day|[Rx1day.md](indices_multi_model_median/md/cmip_indices_multi_model_median_regional_Rx1day.md)|[Rx1day.csv](indices_multi_model_median/csv/cmip_indices_multi_model_median_regional_Rx1day.csv)|

|Rx5day|[Rx5day.md](indices_multi_model_median/md/cmip_indices_multi_model_median_regional_Rx5day.md)|[Rx5day.csv](indices_multi_model_median/csv/cmip_indices_multi_model_median_regional_Rx5day.csv)|

|SM_total|[SM_total.md](indices_multi_model_median/md/cmip_indices_multi_model_median_regional_SM_total.md)|[SM_total.csv](indices_multi_model_median/csv/cmip_indices_multi_model_median_regional_SM_total.csv)|

|SM_top|[SM_top.md](indices_multi_model_median/md/cmip_indices_multi_model_median_regional_SM_top.md)|[SM_top.csv](indices_multi_model_median/csv/cmip_indices_multi_model_median_regional_SM_top.csv)|

|CDD|[CDD.md](indices_multi_model_median/md/cmip_indices_multi_model_median_regional_CDD.md)|[CDD.csv](indices_multi_model_median/csv/cmip_indices_multi_model_median_regional_CDD.csv)|



## Used models models



The used models are listed in [data tables](indices_multi_model_median/data_tables/)



## Method



The regional statistics are calculated as follows:



1. calculate the index on the original model grid

2. calculate the area-weighted mean over the AR6 regions

3. calculate anomalies w.r.t. 1850-1900

4. calculate the mean over the years where a warming level is reached (see [cmip_warming_levels](https://github.com/mathause/cmip_warming_levels))

5. calculate the multi model median



## Code



The code is available under https://github.com/IPCC-WG1/Chapter-11/tree/main/code/Table_11.SM_cmip_indices_regional.ipynb.



## Changelog



The changelog of the repository can be found under [CHANGELOG.md](CHANGELOG.md).



## License



CMIP TEMPERATURES is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



A copy of the license is availabe at [LICENSE](LICENSE). If not, see [CC BY-SA 4.0](http://creativecommons.org/licenses/by-sa/4.0/).



### CMIP6 Data License Statement



The raw CMIP6 data are licensed under Creative Commons [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0), following the [CMIP6 Terms of Use](https://pcmdi.llnl.gov/CMIP6/TermsOfUse). Note that some models publish the data under a non-commercial license ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)). The license for each particular model dataset can be obtained at the [ESGF CoG portal](https://esgf-node.llnl.gov/search/cmip6) as part of the data citation information.



## Acknowledgment



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.



### CMIP6



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.