{"id":"b862ddb1-20a4-4b1b-8d29-9efd6a5c4285","title":"青藏高原湖冰物候数据集（1978-2016）","title_en":"Lake ice phenology dataset across the Tibetan Plateau during 1978-2016","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":"包含132个CSV文件，命名方式“xxxxx_LIP.csv”，其中xxxxx为湖泊编号，CSV的7列分别为：年、开始结冰日、完全结冰日、开始融化日、完全融化日、完全结冰期（天）、冰期（天）。","description":"1978-2016青藏高原湖冰物候数据集包含青藏高原132个湖泊（面积大于40平方公里）1978-2016年的湖冰物候（开始结冰日、完全结冰日、开始融化日、完全融化、冰期、完全结冰期）。数据集利用模型和遥感结合的方式获取物候信息，首先基于MOD11A2提取的全湖平均湖面温度率定改进的湖泊半物理模型（air2water）生成日尺度长时序湖面温度序列，再利用MOD10A1雪覆盖产品获取湖冰物候提取的温度阈值。与现有研究结果和数据集对比，相关性（R方）高于0.75。该数据集结合遥感技术和数值模型的优势，为大时空尺度上分析青藏高原湖泊水-气交换、水热平衡及湖泊中生物化学过程对气候变化的响应提供支撑。","doi":"10.6084/m9.figshare.18852338.v1","projection":"","language":"zh","share_type":"online","east":101.0,"west":78.0,"south":28.0,"north":39.0,"scale":null,"crs":null,"filesize":3.2,"share_policy":"a","ts_created":"2022-02-24T12:52:07.887187+08:00","doi_type":"沿用数据已有DOI","ts_updated":"2022-02-24T14:33:27.850290+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":"邱玉宝","username":"邱玉宝","email":"qiuyb@aircas.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":"b862ddb1-20a4-4b1b-8d29-9efd6a5c4285","three_pole":null,"third_pole":null},"username":"郭立男","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":157}