{"id":"dfce2182-b81c-4a24-a277-a86bb4991197","title":"中亚区域CMIP6干旱情景数据（1900-2100）","title_en":"Aridity index data in CMIP6 over Central Asia (1900-2100)","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":"AI_19002100_ssp245_3monthrnmean_CA_1deg.mat和AI_19002100_ssp585_3monthrnmean_CA_1deg\n通过Matlab直接调用","description":"1）本数据是依据最新的22个CMIP6耦合全球气候模式模拟结果计算的Aridity Index（干燥指数）数据；2）计算公式为P/PET(降水与潜在蒸散发的比值)，PET的计算依据PM公式；3）包括SSP2-4.5与SSP5-8.5两种情境的中亚大湖区1900年1月到2100年12月的月数据，分辨率为1度*1度；4）该数据可用于分析未来中等以及高排放情境下中亚大湖区干湿格局分布以及演变过程的预估。该数据已进行3个月滑动处理。","doi":"10.11888/Atmos.tpdc.271871","projection":"Transverse_Mercator","language":"zh","share_type":"online","east":101.5,"west":43.5,"south":33.5,"north":56.5,"scale":null,"crs":null,"filesize":234.6,"share_policy":"a","ts_created":"2021-11-28T10:00:07.402274+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-12-13T15:38:21.570931+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":"Monthly","spatial_resolution":"1º-10º","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"dfce2182-b81c-4a24-a277-a86bb4991197","three_pole":null,"third_pole":"XDA20020201"},"username":"华丽娟","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":590}