{"id":"ce13891d-063a-4b7e-993c-1bf285151ffb","title":"可应用于中亚大湖区资料同化的背景场误差协方差数据（1979-2017）","title_en":"Background field error covariance data for data assimilation in the Great Lakes region of Central Asia (1979-2017)","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":"本数据为WRF模式可直接使用的二进制格式数据，文件名为“be.dat”。\n基于本数据和WRF模式开展三维变分同化时，模式区域和水平分辨率的设置需要同本数据一致。\n具体设置包括：水平分辨率为27公里，东西方向网格数为151，南北方向网格数为142，投影方式采用兰伯特投影，区域中心点为（41.4N，69.0E）。","description":"在使用三维变分方法进行资料同化时，需要利用误差协方差来确定背景场和观测各自的贡献。其中，背景场误差协方差不仅取决于所用的大气预报模式（如分辨率、参数化方案等），还取决于开展模拟的区域。本数据基于天气预报与研究（WRF）模式，通过对中亚大湖区（27公里水平分辨率）进行2017年一整年的模拟，使用NMC方法估计得到。其中包含的变量为流函数、速度势函数、温度、相对湿度和地表气压。本数据可应用于基于WRF模式开展的中亚大湖区资料同化研究与应用。","doi":"10.11888/Meteoro.tpdc.271010","projection":"Lambert_Conformal_Conic","language":"zh","share_type":"protected","east":102.0,"west":37.0,"south":22.0,"north":58.0,"scale":null,"crs":null,"filesize":3.0,"share_policy":"a","ts_created":"2020-10-25T00:00:00+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T18:29:18.092699+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":"马伟强","username":"wqma","email":"wqma@itpcas.ac.cn","is_cancel_expert":false}],"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":"10 year < x < 100 year","spatial_resolution":"10m - 100m","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"ce13891d-063a-4b7e-993c-1bf285151ffb","three_pole":null,"third_pole":"XDA20100307"},"username":"罗勇","review_time":null,"protected_duration":6,"protected_describe":null,"is_important":false,"hit_count":1400}