{"id":"7a35dfc7-5df5-45c1-b1e0-bb21857351af","title":"青藏高原过去1000年古气候气温数据集","title_en":"Data set of paleoclimate and temperature in the past 1000 years on the Qinghai Xizang Plateau","serial":"","user_limit":"为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力，请数据使用者在使用数据所产生的研究成果中（包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果），明确注明数据来源和数据作者。对于转载（二次或多次发布）的数据，作者还须注明原始数据来源。","instructions":"气温数据采用气象行业通用的netCDF格式存储，文件的命名为：变量名_变量类型_wrt_距平时间段_时间分辨率_空间分辨率_生成方法_数据起始时间_数据结束时间_代用资料.nc\n数据读取方式：本数据可通过Panoply软件、Matlab软件、NCL软件、ArcGIS软件进行读取","description":"青藏高原过去千年（1000-2000AD)、年分辨率2°空间分辨率气温场数据集（距平值）。本数据集通过古气候数据同化方法产生，同化的模型算子是MPI-ESM-P，观测数据为396条年分辨率的代用资料，同化方法为集合平方根滤波算法（EnSRF）。同化重建的气温场和气温观测资料、代用资料重建的气温具有很好的一致性（平均相关系数>0.6，p-value<0.01）。数据可为研究过去千年青藏高原尺度和区域尺度气温变化提供高质量的基础数据。","doi":"10.11888/Paleoenv.tpdc.271944","projection":"","language":"zh","share_type":"online","east":106.0,"west":70.0,"south":21.0,"north":46.0,"scale":null,"crs":null,"filesize":4.63,"share_policy":"a","ts_created":"2022-01-19T10:26:35.298830+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-01-20T09:58:43.034661+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[{"user_name":"张旭","username":"xu.zhang@itpcas.ac.cn","email":"xu.zhang@itpcas.ac.cn","is_cancel_expert":true}],"review_editor":{"id":42421,"last_login":"2022-04-08T15:16:51.670544+08:00","username":"任慧霞","email":"510727846@qq.com","is_active":true,"is_staff":true,"user_name":"任慧霞"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"0.1º - 0.25º","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"7a35dfc7-5df5-45c1-b1e0-bb21857351af","three_pole":null,"third_pole":"XDA20060603"},"username":"盖春梅","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":333}