{"id":"49aecb87-f1d2-44ba-a359-a8bf347f7982","title":"中亚及全球陆地干旱情景数据（2020-2099）","title_en":"Central Asia and global land drought scenario data (2020-2099)","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":"数据为Matlab下的.mat格式，包含AI数据（AI2deg_future），经纬度格点（lat2deg&lon2deg）以及时间信息（timeidx_future）。","description":"本数据为RCP4.5情景下的月干燥指数数据集（Aridity Index, AI）。AI数据为降水与潜在蒸散发的比值。本数据由14个模式平均计算得到。这14个模式分别为：CanESM2；CCSM4；CNRM-CM5；CSIRO-Mk3-6-0；GISS-E2-R；HadGEM2-CC；HadGEM2-ES；inmcm4；IPSL-CM5A-LR；MIROC5；MIROC-ESM-CHEM；MIROC-ESM；MPI-ESM-LR；MRI-CGCM3。空间分辨率为全球2度*2度，时间分辨率为2020年1月-2099年12月。该数据集即可用于中亚大湖区未来干湿变化情景分析，也可用于全球其他区域在未来情景下的干湿过去和格局的分析。","doi":"","projection":"","language":"zh","share_type":"online","east":179.5,"west":-178.5,"south":-88.5,"north":87.5,"scale":null,"crs":null,"filesize":23.8,"share_policy":"a","ts_created":"2019-12-11T19:49:54.167312+08:00","doi_type":"","ts_updated":"2021-04-19T09:30:48.851286+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":"1º-10º","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"49aecb87-f1d2-44ba-a359-a8bf347f7982","three_pole":null,"third_pole":"XDA20020201"},"username":"XDA20020201","review_time":"2019-12-12T09:14:32.679234+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":2410}