{"id":"20ce7b9d-1296-4101-b921-d3a11f4d40eb","title":"泛第三极34个关键节点历史极端降水数据集（2000-2018）","title_en":"34 key nodes of Pan third pole historical extreme precipitation dataset (2000-2018)","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":"数据以txt文本格式存储，文件名称为“历史极端降水识别+国家名称.txt”，可用文本程序（如记事本）打开读取。","description":"泛第三极历史极端降水数据集包括了2000-2018年极端降水识别数据。该数据集以GPM IMERG Final Run(GPM)日值降雨数据为基础，评估了一带一路重要节点区域的降雨量，用百分位法评估了34个重要节点的极端降水阈值，并运用计算出的阈值识别出了发生极端降水的日期，以此为基础制作了极端降水发生时地表的淹没范围。\n数据范围主要是泛第三极34个关键节点（万象、亚历山大、仰光、加尔各答、华沙、卡拉奇、叶卡婕琳堡、吉大港、吉布提等国家）\n该数据集可以为当地政府部门决策提供依据，以便正确识别极端降水，降低极端降水所带来的生命财产损失。","doi":"","projection":"","language":"zh","share_type":"online","east":109.0,"west":11.0,"south":2.0,"north":51.0,"scale":null,"crs":null,"filesize":10.33,"share_policy":"a","ts_created":"2020-07-28T23:59:24.988012+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T23:58:28.198367+08:00","time_description":"","datas_group":3,"time_description_en":"","data_format":null,"project":[11],"specials":["f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":null,"review_status":5,"review_invite":[{"user_name":"冉有华","username":"ryh","email":"ranyh@lzb.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":"10km - 100km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"20ce7b9d-1296-4101-b921-d3a11f4d40eb","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-07-29T01:43:25.903897+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":2221}