{"id":"0a88eeba-39d0-4341-9547-df715412f7de","title":"北半球年平均气温空间分布和时间变化趋势特征数据（1971-2000）","title_en":"The annual temperature spatial distribution and time variation characteristics dataset of the Northern Hemisphere（1971-2000）","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":"文件命名为“MAAT_CRU_1971-2000”的分别表示1971-2000年的CRU原始数据以及结果分析图：文件命名为\"Slope_trend_MAAT_CRU_1901-2016\"的表示1901-2016年的年平均气温变化趋势数据及结果图。MAAT_CRU_mean_NH.xls 为1901-2016年的北半球气温值。其中，格式为.nc的文件和.tif 的文件可以用ArcMap软件打开。","description":"为了了解北半球气温变化的时空变化特征，该研究用 CRU（Climatic Research Unit）网格数据计算了 30 年（1971-2000）年平均气温的空间分布。年平均气温随着纬度的升高而降低，变化范围从大于 30 °C 到小于-25 °C。在相同纬度地区，高海拔地区（比如青藏高原、蒙古高原和西西伯利亚山区）的年平均气温凸显低温的趋势。同时我们完成了分辨率为0.5 °× 0.5 °北半球1901-2016年间的年平均气温变化趋势分布图。","doi":"10.11888/Meteoro.tpdc.270920","projection":null,"language":"zh","share_type":"online","east":180.0,"west":-180.0,"south":0.0,"north":90.0,"scale":null,"crs":null,"filesize":18.8,"share_policy":"a","ts_created":"2019-12-20T22:58:00.211835+08:00","doi_type":null,"ts_updated":"2021-04-19T23:43:17.988479+08:00","time_description":"1901-2016","datas_group":3,"time_description_en":null,"data_format":null,"project":[10,11],"specials":["5f218875-5eed-4939-8208-7bf54c573e42"],"cite":null,"review_status":5,"review_invite":[],"review_editor":{"id":21054,"last_login":"2022-04-10T10:49:12.540341+08:00","username":"tingting","email":"panxd@itpcas.ac.cn","is_active":true,"is_staff":true,"user_name":"潘小多"},"data_sources":"","temporal_resolution":"Yearly","spatial_resolution":"","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[5],"subtopics":{"metadata":"0a88eeba-39d0-4341-9547-df715412f7de","three_pole":"XDA19070504","third_pole":null},"username":"","review_time":"2019-12-21T01:08:03.762063+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":6129}