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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, Christopher, Palmer, Tamzin, Ribes, Aurélien, de Vries, Hylke (2022): Pre-processed data of atlas in EUCP-WP2. Zenodo. Dataset. https://zenodo.org/record/6340181

Authors: Liu, Yang (Netherlands eScience Center) ; 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; Istituto 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, Christopher (Reading University) ; Palmer, Tamzin (UK Met Office) ; Ribes, Aurélien (Centre National de Recherches Météorologiques) ; de Vries, Hylke (Royal Netherlands Meteorological Institute (KNMI)) ;

Links

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 https://cfconventions.org/Data/cf-conventions/cf-conventions-1.9/cf-conventions.html 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

climatology_bounds (climatology_bounds) datetime64[ns] ['2050-06-01', '2050-09-01', '2050-12-01', '2051-03-01'] time (time) (datetime64[ns]) [2050-07-16 2051-01-16] # "JJA", "DJF" latitude (lat) (float64) [30, ..., 75] longitude (lon) (float64) [-10, ..., 40] percentile (percentile) (int64) [10, 25, 50, 75, 90]

variables

tas (time, latitude, longitude, percentile) (float64) pr (time, latitude, longitude, percentile) (float64)

attributes

The attributes of variables and coordinates are defined as:

"tas": { "description": "Change in Air Temperature", "standard_name": "Change in Air Temperature", "long_name": "Change in Near-Surface Air Temperature", "units": "K", "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014", }, "pr": { "description": "Relative precipitation", "standard_name": "Relative precipitation", "long_name": "Relative precipitation", "units": "%", "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014", }, "latitude": {"units": "degrees_north", "long_name": "latitude", "axis": "Y"}, "longitude": {"units": "degrees_east", "long_name": "longitude", "axis": "X"}, "time": { "climatology": "climatology_bounds", "long_name": "time", "axis": "T", "climatology_bounds": ["2050-6-1", "2050-9-1", "2050-12-1", "2051-3-1"], "description": "mean changes over 20 years 2041-2060 vs 1995-2014. The mid point 2050 is chosen as the representative time.", }, "percentile": {"units": "%", "long_name": "percentile", "axis": "Z"},

The attributes of the data is defined as:

"description": "Contains modified institute method data used for Atlas in EUCP project.", "history": "original institute method data files ...",

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.6340181

Subjects

  • climate, EUCP

Dates

  • Publication date: 2022
  • Issued: March 09, 2022

Notes

Other: 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

Rights

Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Funding Information

AwardnumberAwarduriFunderidentifierFunderidentifiertypeFundername
776613info:eu-repo/grantAgreement/EC/H2020/776613/10.13039/100010661Crossref Funder IDEuropean Commission

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsVersionOfhttps://doi.org/10.5281/zenodo.5645153
IsPartOfhttps://zenodo.org/communities/zenodo