{"id":"c8059e52-6aec-487e-8177-d8fbf37f66ac","title":"基于GPCC降水数据集的泛第三极月平均降水数据集（1891-2016）","title_en":"The monthly precipitation dataset in Pan-TPE based on the GPCC dataset (1891-2016)","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":"本数据文件为ptpe_pre_monthly_gpcc.nc","description":"GPCC月平均降水数据集基于全球每月约80,000个台站的全球陆地表面降水数据产品，其记录持续时间长达近百年。 每月的数据覆盖范围从~6,000（1900年之前）到超过50,000个站。 完整数据每月产品将在重大数据库改进后的不定时间间隔进行更新。 此产品的空间分辨率为0.5°x 0.5°。 对站点处的降水异常进行插值，然后以相应的分辨率叠加在GPCC气候态V2018 (DOIs: 10.5676/DWD_GPCC/Clim_M_V2018_050)上。数据集的时间范围从1891年1月到2016年12月。\nGPCC月平均数据产品是最准确的站点降水再分析数据集。此外，它还支持区域气候监测，模型验证，气候变率分析和水资源评估研究。","doi":"","projection":"","language":"zh","share_type":"online","east":180.0,"west":-180.0,"south":-90.0,"north":90.0,"scale":null,"crs":null,"filesize":373.0,"share_policy":"a","ts_created":"2019-01-16T15:36:45.825828+08:00","doi_type":null,"ts_updated":"2021-04-20T00:19:24.033493+08:00","time_description":"","datas_group":3,"time_description_en":null,"data_format":null,"project":[11],"specials":["f2a78cde-1c98-4241-94dc-7532eba32b80"],"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":null,"data_sources":"下载于该网址：ftp://ftp.dwd.de/pub/data/gpcc/html/fulldata-monthly_v2018_doi_download.html","temporal_resolution":"Monthly","spatial_resolution":"","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"c8059e52-6aec-487e-8177-d8fbf37f66ac","three_pole":null,"third_pole":"XDA20060103"},"username":"XDA20060103","review_time":null,"protected_duration":6,"protected_describe":null,"is_important":false,"hit_count":2411}