Pre-processed data of atlas in EUCP-WP2

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. <strong>Preprocessed data of Atlas in EUCP-WP2</strong> 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: <strong>coordinates</strong> 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] <strong>variables</strong> tas (time, latitude, longitude, percentile) (float64) pr (time, latitude, longitude, percentile) (float64) <strong>attributes</strong> The attributes of variables and coordinates are defined as: "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> }, "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> }, "latitude": {"units": "degrees_north", "long_name": "latitude", "axis": "Y"}, "longitude": {"units": "degrees_east", "long_name": "longitude", "axis": "X"}, "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> }, "percentile": {"units": "%", "long_name": "percentile", "axis": "Z"}, The attributes of the data is defined as: "description": "Contains modified <code>institute</code> <code>method</code> data used for Atlas in EUCP project.", "history": "original <code>institute</code> <code>method</code> data files ...", <strong>output file names</strong> output_file_name = <code>prefix_activity_institution-id_source_method_sub-method_cmor-var</code> example: atlas_EUCP_CNRM_CMIP6_KCC_cons_tas.nc <strong>Reference</strong>: https://eucp-project.github.io/atlas/about本数据集为欧洲气候投影系统（European Climate Projection system, EUCP）地平线2020（Horizon2020）项目中开发或评估的概率投影方法的输出结果。用户可通过本项目的交互式图集（interactive atlas）预览数据。如需了解更多信息，请参阅图集关于页面或对应的故事板。<strong>EUCP-WP2图集预处理数据</strong> 我们提供了若干Jupyter笔记本（notebooks），可用于检查原始/未处理数据、依据CF规约（CF-conventions，https://cfconventions.org/Data/cf-conventions/cf-conventions-1.9/cf-conventions.html）修正或补充元数据，并将数据保存为NetCDF格式。详情请参阅：https://github.com/eucp-project/atlas/blob/main/python/README.md。 针对REA与ClimWIP两种方法，本数据集还附带了预计算得到的权重。请注意，此类权重仅适用于本特定模式集合的场景，因此预处理后的模式数据将与权重一同发布。 预处理后的数据遵循以下规范： <strong>坐标维度</strong> - climatology_bounds (climatology_bounds)：datetime64[ns]类型，取值范围为['2050-06-01', '2050-09-01', '2050-12-01', '2051-03-01'] - time (time)：datetime64[ns]类型，取值范围为[2050-07-16, 2051-01-16]，对应季节为"JJA（夏季）"与"DJF（冬季）" - latitude (lat)：float64类型，取值范围为[30, ..., 75] - longitude (lon)：float64类型，取值范围为[-10, ..., 40] - percentile (percentile)：int64类型，取值范围为[10, 25, 50, 75, 90] <strong>变量</strong> - tas (time, latitude, longitude, percentile)：float64类型 - pr (time, latitude, longitude, percentile)：float64类型 <strong>属性定义</strong> 变量与坐标的属性定义如下： "tas": { "description": "近地表气温变化", "standard_name": "近地表气温变化", "long_name": "近地表气温变化", "units": "K（开尔文）", "cell_methods": "time: 以1995-2014年为基准，2041-2060年20年时段的平均变化量", }, "pr": { "description": "相对降水量", "standard_name": "相对降水量", "long_name": "相对降水量", "units": "%", "cell_methods": "time: 以1995-2014年为基准，2041-2060年20年时段的平均变化量", }, "latitude": {"units": "degrees_north（北纬度数）", "long_name": "纬度", "axis": "Y"}, "longitude": {"units": "degrees_east（东经度数）", "long_name": "经度", "axis": "X"}, "time": { "climatology": "climatology_bounds", "long_name": "时间", "axis": "T", "climatology_bounds": ["2050-6-1", "2050-9-1", "2050-12-1", "2051-3-1"], "description": "以1995-2014年为基准的2041-2060年平均变化量，选取2050年中点作为代表时间", }, "percentile": {"units": "%", "long_name": "百分位数", "axis": "Z"}, 数据集整体属性定义如下： "description": "包含用于EUCP项目图集的经修改的<code>institute</code> <code>method</code>数据", "history": "原始<code>institute</code> <code>method</code>数据文件 ..." <strong>输出文件名规则</strong> 输出文件名格式为：`prefix_activity_institution-id_source_method_sub-method_cmor-var` 示例：`atlas_EUCP_CNRM_CMIP6_KCC_cons_tas.nc` <strong>参考文献</strong>：https://eucp-project.github.io/atlas/about