{"id":"d34a318b-9267-4002-831f-f72b3f755bd2","title":"泛第三极关键节点区域公里级格网化降雨数据（2000-2016）","title_en":"1000-meter  InfraRed Precipitation data (2000-2016) for key nodes of Pan-Third Pole region","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":"降雨数据在空间和时间上的变化是干旱预警和环境监测的关键方面。但是由于地形的复杂，从卫星数据得出的估计值提供的面积平均值会导致偏差，从而会低估极端降水事件的强度。而由站点数据产生的降水网格会在雨量多测站较少的农村地区受到影响。\n气候危害小组的红外降水的站点数（CHIRPS），从1981年到现在拥有从跨度50°S-50°N（及所有经度）35年以上的准全球降雨数据集。利用变入渗能力模型，建立在以前的“智能”插值技术和基于红外冷云持续时间(CCD)观测的高分辨率、长时间记录降水估算方法的基础上，以0.05°分辨率的卫星图像以及原位气象站数据来创建栅格化的降雨时间序列用于趋势分析和季节性干旱监测。最终得到了所有34个泛第三极关键节点区域的降雨数据。\n本数据集作为所有遥感数据的研究基础，为项目提供了基底数据。根据官方或节点所在政府信息，本数据集可实时更新。","doi":"","projection":"","language":"zh","share_type":"online","east":109.0,"west":11.0,"south":2.0,"north":51.0,"scale":null,"crs":null,"filesize":802.0,"share_policy":"a","ts_created":"2020-01-06T11:47:09.413002+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T17:13:57.974539+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":"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":"Monthly","spatial_resolution":"100m - 1km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"d34a318b-9267-4002-831f-f72b3f755bd2","three_pole":null,"third_pole":"XDA20030302"},"username":"XDA20030302","review_time":"2020-01-16T14:06:10.578034+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":986}