{"id":"17d46f2d-a8b5-4aae-80fd-d929b3c6f5bb","title":"长江上游及西南地区JRA55再分析3小时数据集（1958-2022）","title_en":"英文标题：JRA55 Reanalysis 3-Hour Dataset in Upper Yangtze and Southwest Regions (1958-2022)","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":"fcst_phyland125.090_rof.1958010100_1958123121\nfcst_phyland125：Land surface average diagnostic fields；090：Water run-off 单位：mm day-1 ； 日期：1958010100_1958123121\n\n转换完nc格式可以用NetCDF (Unidata)打开","description":"长江上游及西南地区JRA55再分析3小时数据集（1958-2022），包括气温、大气加热、大气稳定性、亮度温度、冠层特征、云频率、云液态水/冰、蒸散发、\t位势高度重力波、热通量、湿度、静水压力、地表温度、土地利用/土地覆盖分类、长波辐射、最高/最低温度、潜在温度、降水量、降水率径流、海平面压力、短波辐射、雪深、土壤水分/含水量、土壤温度、流函数、表面压力、表面粗糙度、地表风、总可降水量、对流层臭氧、高空气温、上层风等要素。数据为NETCDF格式，时间分辨率为3小时，水平空间分辨率为1.25°。可为长江上游和西南地区的陆面过程研究提供数据。\n该数据集是对美国国家大气研究中心的JRA55气候再分析的陆地部分再处理生成的。 再分析使用物理定律将模型数据与来自世界各地的观察结果结合成一个全球完整的数据集，准确描述了过去的气候。","doi":"","projection":"","language":"zh","share_type":"offline","east":112.5,"west":89.0,"south":20.5,"north":36.5,"scale":null,"crs":null,"filesize":30000.0,"share_policy":"c","ts_created":"2022-09-27T14:43:57.667787+08:00","doi_type":"拥有自主知识产权","ts_updated":"2022-10-01T19:54:40.532812+08:00","time_description":"","datas_group":0,"time_description_en":"","data_format":null,"project":[10],"specials":["b4b306da-eab1-47ef-ae5d-be2556298efd","1832ecb3-70d0-4b5e-bdb5-2e9ff4ad1efe"],"cite":null,"review_status":5,"review_invite":[],"review_editor":null,"data_sources":null,"temporal_resolution":"Hourly","spatial_resolution":"1º-10º","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"17d46f2d-a8b5-4aae-80fd-d929b3c6f5bb","three_pole":null,"third_pole":null},"username":"赵怡鑫","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":576}