Title: Pre-processed data of atlas in EUCP-WP2

Type Dataset Liu, Yang, Kalverla, Peter, Alidoost, Fakhereh, Verhoeven, Stefan, Vreede, Barbara, Booth, Ben, Coppola, Erika, Nogherotto, Rita, Brunner, Lukas, Harris, Glen, Qasmi, Said, Ballinger, Andrew, Hegerl, Gabriele, McSweeney, Carol, O'Reilly, Cristopher, Palmer, Tamzin, Ribes, Aurélien, de Vries, Hylke (2022): Pre-processed data of atlas in EUCP-WP2. Zenodo. Dataset. https://zenodo.org/record/6354460

Authors: Liu, Yang (Netherlands eScience Cente) ; Kalverla, Peter (Netherlands eScience Center) ; Alidoost, Fakhereh (Netherlands eScience Center) ; Verhoeven, Stefan (Netherlands eScience Center) ; Vreede, Barbara (Netherlands eScience Center) ; Booth, Ben (UK Met Office) ; Coppola, Erika (The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy) ; Nogherotto, Rita (The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy; Instituto Nazionale di Oceanografia e di Geofisica Sperimentale, Trieste, Italy) ; Brunner, Lukas (ETH Zurich) ; Harris, Glen (UK Met Office) ; Qasmi, Said (Centre National de Recherches Météorologiques) ; Ballinger, Andrew (University of Edinburgh) ; Hegerl, Gabriele (University of Edinburgh) ; McSweeney, Carol (UK Met Office) ; O'Reilly, Cristopher (Reading University) ; Palmer, Tamzin (UK Met Office) ; Ribes, Aurélien (Centre National de Recherches Météorologiques) ; de Vries, Hylke (Royal Netherlands Meteorological Institute (KNMI)) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Outputs from the probabilistic projection methods developed or assessed in the European Climate Projection system (EUCP) Horizon2020 project. The data can be previewed through our interactive atlas.

For more information, see the atlas about page, or the corresponding storyboard.

Preprocessed data of Atlas in EUCP-WP2

We provide some notebooks that check the original/raw data, fix/add the metadata using CF-conventions and save data in a NetCDF format. See https://github.com/eucp-project/atlas/blob/main/python/README.md.

For two of the methods, REA and ClimWIP, pre-calculated weights have also been included. Note that these weights are only valid in the context of this specific model ensemble. Therefore, the original (pre-processed) model data is published together with the weights.

The pre-processed data follows the following standards:

coordinates

variables

attributes

The attributes of variables and coordinates are defined as:

The attributes of the data is defined as:

output file names

output_file_name = prefix_activity_institution-id_source_method_sub-method_cmor-var

example: atlas_EUCP_CNRM_CMIP6_KCC_cons_tas.nc

Reference:

https://eucp-project.github.io/atlas/about

More information

• DOI: 10.5281/zenodo.6354460

Subjects

• climate, EUCP

Dates

• Publication date: 2022
• Issued: March 14, 2022

Notes

Changelog:

v. 1.0.4:

Weights have been added for ClimWIP and REA

v. 1.0.5:

Hidden files were removed and the ZIP folder was cleaned up.

v. 1.0.7:

Files atlas_EUCP_UKMO_CMIP6_UKCP_cons_pr.nc and atlas_EUCP_UKMO_CMIP6_UKCP_uncons_pr.nc were updated.

v. 1.0.9:

Files atlas_EUCP_UKMO_CMIP6_UKCP_cons_pr.nc and atlas_EUCP_UKMO_CMIP6_UKCP_uncons_pr.nc were updated.

v. 1.0.10

The old zipfile for v 1.0.8 (preprocessed_20220217.zip) was removed.

v. 1.0.11

atlas_EUCP_UEdin_CMIP6_ASK_cons_tas.nc and atlas_EUCP_UEdin_CMIP6_ASK_uncons_tas.nc were updated

v. 1.0.12

The old zipfile for v 1.0.11 (preprocessed_20220222.zip) was removed, and the zipfile was renamed.

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Funding Information

Format

electronic resource

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