{"id":"03d005cb-cf60-4500-9d52-4f76494acea1","title":"中国高寒区地表环境与观测网络气象数据（2019）","title_en":"Surface environment and meteorological data of observation network in alpine regions of China (2019)","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":"表格形式，可以采用EXCEL打开查看和分析","description":"1)数据内容（包含的要素及意义）：高寒网19个站（藏东南站、纳木错站、珠峰站、慕士塔格站、阿里站、那曲站、格尔木站、天山站、祁连山站、若尔盖站（西北院）、玉龙雪山站、那曲站（西北院）、海北站、三江源站、申扎站、若尔盖站（成都生物所）、那曲站（地理所）、拉萨站、青海湖站）2019年青藏高原气象观测数据集（气温、降水、风向风速、相对湿度、气压、辐射和蒸发）\n2)数据来源及加工方法：高寒网19个站实地观测Excel格式\n3)数据质量描述：站点日分辨率\n4)数据应用成果及前景：在高寒网各野外站和泛第三极地区境外台站的长期观测数据基础上，建立泛第三极地区气象、水文及生态要素系列数据集；通过重点区域的强化观测与样地和样点验证，完成气象要素、湖泊水量与水质、地上植被生物量、冰川冻土变化等数据产品的反演；基于物联网技术，研制建立多站联网的气象、水文、生态数据管理平台，实现联网数据实时获取与远程控制及共享。","doi":"10.11888/Meteoro.tpdc.270747","projection":"","language":"zh","share_type":"protected","east":101.0,"west":74.0,"south":26.0,"north":44.0,"scale":null,"crs":null,"filesize":1.7,"share_policy":"c","ts_created":"2020-07-22T20:40:23.496130+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T21:27:29.006224+08:00","time_description":"","datas_group":0,"time_description_en":"","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":"Daily","spatial_resolution":"-","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[6],"subtopics":{"metadata":"03d005cb-cf60-4500-9d52-4f76494acea1","three_pole":null,"third_pole":"XDA20020102"},"username":"XDA20020102","review_time":null,"protected_duration":24,"protected_describe":"2年后申请","is_important":false,"hit_count":2794}