{"id":"69b60d6c-4883-4221-8015-b2e81b10d137","title":"卫星反演青藏高原地表PM2.5浓度数据（2020）","title_en":"Surface PM2.5 concentrations in Tibetan Plateau (2020)","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":"nc格式","description":"基于NASA的地球系统模型版本5（GEOS 5）。该算法能够同化所有原位和遥感大气数据。本数据主要用到MERRA-2的气溶胶场。这是首次将气象和气溶胶观测联合同化为全球同化系统的年代际再分析资料。MISR是通过指向9个不同方向的摄像机观察地球，可以知道在自然条件下散射到不同方向的辐射。本数据算法主要用到的数据产品有MERRA-2 气溶胶分析产品（M2T1NXAER）和MISR level 3版本四全球气溶胶产品（MIL3DAEN_4）。首先用MERRA-2提供的气溶胶信息计算得到每个格点中的PM2.5与AOD的比值，然后用MISR的AOD乘以该比值即为该格点的PM2.5浓度。利用该方法得到的PM2.5浓度平均预测误差在20微克/立方米以内。相应的PM2.5产品也可以为评估青藏高原地区颗粒物污染状况提供参考。","doi":"10.11888/Meteoro.tpdc.271249","projection":"","language":"zh","share_type":"online","east":105.0,"west":70.0,"south":25.0,"north":40.0,"scale":null,"crs":null,"filesize":97.0,"share_policy":"a","ts_created":"2021-04-09T12:18:43.324936+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T20:17:41.830087+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":"丛志远","username":"zhiyuancong","email":"zhiyuancong@itpcas.ac.cn","is_cancel_expert":false},{"user_name":"夏祥鳌","username":"夏祥鳌","email":"xxa@mail.iap.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":"Daily","spatial_resolution":"0.5º - 1º","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"69b60d6c-4883-4221-8015-b2e81b10d137","three_pole":null,"third_pole":"XDA20040501"},"username":"XDA20040501","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":954}