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3 results for “EUCP”
Pre-processed data of atlas in EUCP-WP2
<p>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 <a href="\"https://eucp-project.github.io/atlas/\"">interactive atlas</a>.</p> <p> </p> <p>For more information, see the <a href="\"https://eucp-project.github.io/atlas/about\"">atlas about page</a>, or the corresponding <a href="\"https://eucp-project.github.io/storyboards/atlas/1_intro\"">storyboard</a>.</p> <p> </p> <p><strong>Preprocessed data of Atlas in EUCP-WP2</strong></p> <p>We provide some notebooks that check the original/raw data, fix/add the metadata using <a href="\"https://cfconventions.org/Data/cf-conventions/cf-conventions-1.9/cf-conventions.html\"">CF-conventions</a> and save data in a NetCDF format. See <a href="\"https://github.com/eucp-project/atlas/blob/main/python/README.md\"">https://github.com/eucp-project/atlas/blob/main/python/README.md</a>.</p> <p>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.</p> <p>The pre-processed data follows the following standards:</p> <p><strong>coordinates</strong></p> <ul> <li>climatology_bounds (climatology_bounds) datetime64[ns] ['2050-06-01', '2050-09-01', '2050-12-01', '2051-03-01']</li> <li>time (time) (datetime64[ns]) [2050-07-16 2051-01-16] # "JJA", "DJF"</li> <li>latitude (lat) (float64) [30, ..., 75]</li> <li>longitude (lon) (float64) [-10, ..., 40]</li> <li>percentile (percentile) (int64) [10, 25, 50, 75, 90]</li> </ul> <p><strong>variables</strong></p> <ul> <li>tas (time, latitude, longitude, percentile) (float64)</li> <li>pr (time, latitude, longitude, percentile) (float64)</li> </ul> <p><strong>attributes</strong></p> <p>The attributes of variables and coordinates are defined as:</p> <ul> <li>"tas": {<br> "description": "Change in Air Temperature",<br> "standard_name": "Change in Air Temperature",<br> "long_name": "Change in Near-Surface Air Temperature",<br> "units": "K",<br> "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",<br> },</li> <li>"pr": {<br> "description": "Relative precipitation",<br> "standard_name": "Relative precipitation",<br> "long_name": "Relative precipitation",<br> "units": "%",<br> "cell_methods": "time: mean changes over 20 years 2041-2060 vs 1995-2014",<br> },</li> <li>"latitude": {"units": "degrees_north", "long_name": "latitude", "axis": "Y"},</li> <li>"longitude": {"units": "degrees_east", "long_name": "longitude", "axis": "X"},</li> <li>"time": {<br> "climatology": "climatology_bounds",<br> "long_name": "time",<br> "axis": "T",<br> "climatology_bounds": ["2050-6-1", "2050-9-1", "2050-12-1", "2051-3-1"],<br> "description": "mean changes over 20 years 2041-2060 vs 1995-2014. The mid point 2050 is chosen as the representative time.",<br> },</li> <li>"percentile": {"units": "%", "long_name": "percentile", "axis": "Z"},</li> </ul> <p>The attributes of the data is defined as:</p> <ul> <li>"description": "Contains modified <code>institute</code> <code>method</code> data used for Atlas in EUCP project.",</li> <li>"history": "original <code>institute</code> <code>method</code> data files ...",</li> </ul> <p><strong>output file names</strong></p> <p>output_file_name = <code>prefix_activity_institution-id_source_method_sub-method_cmor-var</code></p> <p>example: atlas_EUCP_CNRM_CMIP6_KCC_cons_tas.nc</p> <p><strong>Reference</strong>:</p> <p><a href="\"https://eucp-project.github.io/atlas/about\"">https://eucp-project.github.io/atlas/about</a></p>
EUCP WP5 Multiple lines of evidence data
<p>This is data used to produce outputs for the EUCP WP5 multiple lines of evidence deliverable. The zip file contains the following folders:</p> <ul> <li>Caribbean_gridded_data</li> <li>EU_gridded_data</li> <li>Global_anomalies</li> <li>plots_and_data</li> </ul> <p>The <em>Caribbean </em>and <em>EU gridded_data</em> folders contain the following sub folders:</p> <ul> <li><em>pr_anoms</em>: Gridded netCDF files representing anomalies for precipitation from the historical (mostly 1995-2014) to mid century (mostly 2041-2060) time periods.</li> <li><em>tas_anoms</em>: Gridded netCDF files representing anomalies for precipitation from the historical (mostly 1995-2014) to mid century (mostly 2041-2060) time periods.</li> </ul> <p>The <em>Global_anomalies</em> folder contains .csv files with calculated global temperature anomalies (from 1995-2014 to 2041-2060) for each of the included global models.</p> <p>The <em>plots_and_data </em>folder contains pre calculated figures of the multiple lines of evidence work for the EUCP WP3 domains and a small selection of countries. There is also a <em>data_files </em>subfolder that contains .csv files of the raw values used to produce the figures.</p> <p>The files have been created by the recipes and scripts in this repository</p> <p>https://github.com/eucp-project/Lines-of-evidence-catalog</p>
Pseudo-observational datasets for testing projection calibration methods (EUCP WP2)
<p>Pseudo-observational datasets, produced by standardising and anonymising output from climate model data from the CMIP6 archive. </p> <p>Each folder "PSEUDOobs_*.tar.gz" contains the data required for the different EUCP Work Package 2 methods to calibrate projections (see, e.g., initial comparison of methods presented in Brunner et al., Journal of Climate, 2020, <em>in revision</em>).</p> <p>All data is in netcdf format.</p> <p> </p> <p><em>References:</em></p> <p>Brunner, L., et al., "Comparing methods to constrain future European climate projections using a consistent framework", Journal of Climate, <em>in revision.</em></p>
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