{"id":"652be1cd-d0b1-4775-b230-cfd40fd22a3e","title":"青藏高原湖泊表面温度数据集（1978-2017）","title_en":"Lake daily water surface temperature dataset across Tibetan Plateau during 1978 to 2017","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":"湖面温度数据以CSV格式存储，文件名称为”TPxxx.csv“，其中xxx代表湖泊编号，数据包含基于MOD11A1的日间温度、基于MOD11A1的夜间温度、基于MOD11A1日湖面温度、基于模型的湖面温度，单位为摄氏度（℃）。CSV数据可用Excel软件打开。","description":"该数据集包含青藏高原160个湖泊（面积大于40平方公里）1978-2017年的连续日尺度湖面温度（MOD11A1的日间湖温、MOD11A1的夜间湖温、基于MOD11A1日均湖面温度、基于模型的湖面温度）。数据集生产过程首先改进以能量平衡为基础的半物理湖表水温模型（air2water）以实现冰期与非冰期连续模拟，并以MOD11A1产品提取的全湖平均表面温度作为模型的率定数据。数据集与4个湖泊的实测湖面温度相比相关性大于0.9，均方根误差小于2.5℃。该数据集为认知青藏高原湖泊水热平衡、水生生态系统过程及其对气候变化响应提供数据支撑。","doi":"10.5281/zenodo.5878436","projection":"","language":"zh","share_type":"online","east":103.0,"west":78.0,"south":28.0,"north":39.0,"scale":null,"crs":null,"filesize":37.5,"share_policy":"a","ts_created":"2022-02-23T15:08:01.893120+08:00","doi_type":"沿用数据已有DOI","ts_updated":"2022-03-18T14:56:43.066364+08:00","time_description":"1978.1.1-2017.12.31","datas_group":3,"time_description_en":"1978.1.1-2017.12.31","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":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":[21],"subtopics":{"metadata":"652be1cd-d0b1-4775-b230-cfd40fd22a3e","three_pole":null,"third_pole":null},"username":"郭立男","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":92}