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E-OBS gridded dataset

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data.europa2024-07-03 收录
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https://data.europa.eu/data/datasets/e44d8ed0-0a41-4e5e-b5d2-a69d27048b46?locale=en
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E-OBS version 5.0 has been released. E-OBS is a daily gridded observational dataset for precipitation, temperature and sea level pressure in Europe based on ECA & D information. The full dataset covers the period 1950-01-01 until 2011-06-30. It has originally been developed as part of the ENSEMBLES project (EU-FP6) and is now maintained and elaborated as part of the EURO4M project (EU-FP7). The datafiles contain gridded data for 5 elements (daily mean temperature TG, daily minimum temperature TN, daily maximum temperature TX, daily precipitation sum RR and daily averaged sea level pressure PP). They cover the area: 25N-75N x 40W-75E. The data files are in compressed NetCDF format and range in size from 74Mb — 1.1Gb. There are 4 different versions: 2 grid resolutions x 2 grid flavors. Data is made available on a 0.25 and 0.5 degree regular lat-lon grid, as well as on a 0.22 and 0.44 degree rotated pole grid, with the north pole at 39.25N, 162W. The regular grid is the same as the monthly CRU data grids available from the Climatic Research Unit. The rotated grid is the same as used in many ENSEMBLES Regional Climate Models. Besides ‘best estimate’ values, separate files are provided containing daily standard errors and elevation. See Haylock et al. (2008) and van den Besselaar et al. (2011) for further details.

E-OBS 5.0版本已正式发布。E-OBS是一套基于ECA&D观测资料的欧洲区域逐日网格化气象观测数据集,涵盖降水、气温与海平面气压三类核心要素。完整数据集的时间跨度为1950年1月1日至2011年6月30日。 该数据集最初作为ENSEMBLES项目(欧盟第六框架计划,EU-FP6)的子项目开发,目前由EURO4M项目(欧盟第七框架计划,EU-FP7)负责维护与迭代完善。 数据文件包含5类气象要素的网格化数据:逐日平均气温(TG)、逐日最低气温(TN)、逐日最高气温(TX)、逐日降水总量(RR)以及逐日平均海平面气压(PP)。数据集覆盖的地理范围为北纬25°至75°、西经40°至东经75°。 数据文件采用压缩后的网络通用数据格式(NetCDF)存储,单文件体积介于74兆字节至1.1吉字节之间。该数据集共推出4个版本,对应2种网格分辨率与2种网格类型。 数据提供两种分辨率的常规经纬网格(0.25°与0.5°),以及两种分辨率的旋转极网格(0.22°与0.44°),其中旋转极网格的北极点坐标为北纬39.25°、西经162°。该常规经纬网格与气候研究单元(Climatic Research Unit,简称CRU)发布的月度CRU数据网格完全一致;旋转极网格则与多数ENSEMBLES项目区域气候模式所采用的网格标准保持一致。 除最优估计值(best estimate)外,数据集还附带了包含逐日标准误差与高程信息的独立数据文件。更多详细信息可参考Haylock等人(2008年)与van den Besselaar等人(2011年)的相关研究。
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