{"id":"d21d2ea0-5bc8-4329-b3b0-de6bc18a1f1d","title":"1.5度和2度阈值对应的10年区间中亚地区高分辨率极端气候变化情景数据（气温、降水）","title_en":"High-resolution extreme climate change dataset (air temperature and precipitation) during 10 years under 1.5-2.0℃ global warming","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":"文件命名：[模式名称]_9km_[模拟时段]_yearly.nc，其中，模式名称：CCSM4、HadGEM2-ES和MPI-ESM-MR，模拟时段：1986-2005和2031-2050。文件格式为netCDF，建议使用NCL和支持netCDF的Python库(如numpy和xarray)打开。","description":"该数据集是来自CMIP5的3个全球气候模式（CCSM4、HadGEM2-ES和MPI-ESM-MR)的高分辨率动力降尺度结果，使用的区域模式是WRF，覆盖中亚五国，空间分辨率是9km，未来时段是2031-2050(包含1.5-2℃升温阈值对应的10年区间），历史参考时段是1986-2005，碳排放情景是RCP4.5，包含的变量是2米气温和降水（对流和非对流降水），时间分辨率是年。该数据可以用于中亚气候预估。","doi":"10.11888/Meteoro.tpdc.271064","projection":"WGS84","language":"zh","share_type":"protected","east":93.6,"west":36.9,"south":30.7,"north":57.8,"scale":null,"crs":null,"filesize":210.0,"share_policy":"a","ts_created":"2020-12-28T15:00:05.701138+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T17:45:00.605244+08:00","time_description":"1986-2005, 2031-2050","datas_group":3,"time_description_en":"There are two periods, 1986-2005 and 2031-2050.","data_format":null,"project":[11],"specials":["f2a78cde-1c98-4241-94dc-7532eba32b80"],"cite":null,"review_status":5,"review_invite":[{"user_name":"陈莹莹","username":"陈莹莹","email":"chenyy@itpcas.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":"Yearly","spatial_resolution":"1km - 10km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"d21d2ea0-5bc8-4329-b3b0-de6bc18a1f1d","three_pole":null,"third_pole":"XDA20020201"},"username":"XDA20020201","review_time":null,"protected_duration":12,"protected_describe":"等相关成果发表后，再公开。","is_important":false,"hit_count":1919}