{"id":"2517fcbd-384b-4908-9e8c-5ea45649f952","title":"泛第三极关键节点区域PM2.5浓度分布数据（2000-2016）","title_en":"PM2.5 Grids for key nodes of pan-third pole region (2000-2016)","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":".tif，可以采用ARCGIS、ENVI打开查看","description":"该数据集结合了美国航空航天局中分辨率成像光谱辐射计(MODIS)、多角度成像光谱辐射计(MISR)和海洋观测宽视场传感器(SeaWiFS)等多种卫星设备的AOD检索。地球化学的化学传输模型被用来将气溶胶的总柱测量与近地表的PM2.5浓度联系起来。全球地面测量使用地理加权回归(GWR)来预测和调整初始卫星数据中每个网格单元的PM2.5偏差。提供0.01度的网格数据集，以便用户能够最好地满足他们的特殊需求。以34个泛第三极关键节点区域为研究区域，对全球2000-2016年的浓度数据进行裁剪和估算，得到了关键节点区域2000-2016年的PM2.5浓度数据。","doi":"","projection":"","language":"zh","share_type":"online","east":109.0,"west":11.0,"south":2.0,"north":51.0,"scale":null,"crs":null,"filesize":380.0,"share_policy":"a","ts_created":"2020-01-06T00:22:47.518276+08:00","doi_type":"国际公开共享数据","ts_updated":"2021-04-19T22:30:20.291101+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":42023,"last_login":"2022-03-24T09:37:33.507049+08:00","username":"yanmh","email":"yanmh@itpcas.ac.cn","is_active":true,"is_staff":true,"user_name":"闫梦还"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"<= 0.01º","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"2517fcbd-384b-4908-9e8c-5ea45649f952","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-01-14T17:51:49.531782+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":1344}