{"id":"8427756e-01a9-48f6-bd36-a9e87b3740eb","title":"中亚65个台站热浪指数情景预估数据集（2015-2100）","title_en":"Scenario projection data set of heat wave indices in Central Asia（2015-2100）","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":"数据以文本格式存储，文件名称为SDMHWASSP126.txt，其中SDM代表统计降尺度结果，HWN代表热浪指数，SSP126代表在SSP126情景数据。比如SDMHWASSP126..txt代表统计降尺度预估的热浪指数HWN在SSP126情景下预估数据集。","description":"基于台站历史逐日最高温数据以及再分析资料数据集，发展了一个基于一阶自回归和多元线性回归模型的逐日最高温统计降尺度模型，并由全球气候模型（CNRM-CM6-1）的 IPCC CMIP6 情景数据驱动该统计降尺度模型，预估中亚65个台站2015-2100年5种热浪指数（热浪事件数 （HWM），热浪频数（HWF）， 热浪强度（HWM）， 热浪最大持续时间（HWD），热浪振幅（HWA））的未来变化情景。最终获得2015-2100年四种排放情景下（SSP126，SSP245，SSP370，SSP585），中亚65个台站热浪变化情景数据集。","doi":"10.11888/Atmos.tpdc.271860","projection":"","language":"zh","share_type":"online","east":88.0,"west":46.5,"south":35.0,"north":55.4,"scale":null,"crs":null,"filesize":400.0,"share_policy":"a","ts_created":"2021-11-30T10:45:50.877094+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-12-28T10:04:31.205316+08:00","time_description":"2015-2100","datas_group":3,"time_description_en":"2015-2100","data_format":null,"project":[11],"specials":[],"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":71190,"last_login":"2021-12-07T16:18:04.719644+08:00","username":"枫瑜","email":"81883470@qq.com","is_active":true,"is_staff":false,"user_name":"陈珺"},"data_sources":null,"temporal_resolution":"Yearly","spatial_resolution":"--","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"8427756e-01a9-48f6-bd36-a9e87b3740eb","three_pole":null,"third_pole":"XDA20020201"},"username":"范丽军","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":1978}