{"id":"c9fd9d59-8a5c-4b61-b621-9c4d987d546a","title":"基于GLDAS的全球干燥度指数数据集（1948-2018）","title_en":"GLDAS based global Arid Index data set (1948-2018)","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":"GLDAS_1948_2018_AI_60s_60n.nc","description":"本数据集为1948-2018 干旱指数AI年数据集，空间覆盖范围为60S-60N，180E-180W，空间分辨率为0.5°，时间分辨率为逐年。其基于Penman–Monteith model 计算潜在蒸散发（PET），其中用到的风速、相对湿度、感热、潜热、土壤热通量、地表气压数据来自于GLDAS，气温数据来自CPC，降水数据也来自于CPC。GLDAS资料分为两段，第一段来自于GLDAS_NOAH10_M V2.0系列，覆盖时间段为1948-2015年；第二段来自于GLDAS_NOAH10_M V2.1，覆盖时间段为2000-至今，我们利用2000-2014年的重合数据段进行拼接，将这一时期两套数据的风速、相对湿度、感热、潜热、土壤热通量、地表气压数据平均值相减，得到差值，将差值加到V2.1的数据集中，从而计算PET。","doi":"10.11888/Atmos.tpdc.271832","projection":null,"language":"zh","share_type":"online","east":180.0,"west":-180.0,"south":-60.0,"north":60.0,"scale":null,"crs":null,"filesize":12.3,"share_policy":"a","ts_created":"2021-11-18T22:36:44.754005+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-11-18T23:18:23.235158+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":"周彦昭","username":"小昭","email":"zhouyanzhao9@126.com","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":"Yearly","spatial_resolution":"0.5º - 1º","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"c9fd9d59-8a5c-4b61-b621-9c4d987d546a","three_pole":null,"third_pole":"XDA20060103"},"username":"XDA20060103","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":968}