遇见数据集

Meteorological observations at Lincoln: 1995

收藏
Figshare2019-07-09 更新2026-04-29 收录
官方服务:

资源简介:

Lincoln meteorological observations have been taken at a range of sites over the years. A NIWA report (Mullan, A.B; Stuart, S.J; Hadfield, M.G; Smith, M.J (2010). Report on the Review of NIWA's 'Seven-Station' Temperature Series. NIWA Information Series No. 78. pp.129-154) records a number of these along with the work undertaken to reconcile the data between different sites. It is not yet clear which site(s) these measurements were taken at as we have not yet identified a correspondence with NIWA's records.The datasets had been stored as .DAT files. The .DAT files have been uploaded as is, and also standardised and converted into .csv format.Headers: The original .DAT files were stored without headers. Most of these could be recovered for the .csv by running the data through an old program that had been used in conjunction with the data, but one column remains "unknown".Missing data: In the .DAT files, missing measurements are variously recorded, depending on context, as 0, -9, -99 or (in the case of Cloud cover) 9. In the .csv these values have been removed and left blank.Units are most likely:* solar radiation - probably MJ/m2 (megajoules per square metre)* temperatures - Celsius (in early years possibly converted from an original measurement in Fahrenheit)* rainfall - millimetres* cloud - oktas (eighths of the sky taken up by cloud)* wind run - kilometres* vapour pressure - probably Pa (pascals)

多年来,研究人员在多个站点开展了林肯地区的气象观测工作。新西兰国家水与大气研究所(NIWA)发布的一份报告(Mullan, A.B; Stuart, S.J; Hadfield, M.G; Smith, M.J,2010)《NIWA“七站”温度序列评估报告》(NIWA信息系列第78号,第129-154页)记录了其中多项观测数据,以及为协调不同站点间数据一致性所开展的相关工作。 目前尚未明确本次观测数据对应的具体站点,因尚未能将其与NIWA的现有记录建立对应关系。 该数据集最初以.DAT格式存储。.DAT文件已原样上传,同时还被标准化处理并转换为.csv格式。 表头信息:原始.DAT文件未存储表头。通过使用此前与该数据集配套的旧程序对数据进行处理,可恢复其中大部分表头,但仍有一列的表头信息为"unknown"(未知)。 缺失值处理:.DAT文件中,根据不同应用场景,缺失的观测值会以不同数值记录:缺测值通常记为0、-9或-99,云量数据的缺测值则记为9。在转换后的.csv文件中,上述缺测值已被移除并留空。 单位说明(大概率为): * 太阳辐射:兆焦每平方米(MJ/m²) * 气温:摄氏度(早期数据可能由华氏度转换而来) * 降雨量:毫米 * 云量:八分云量(oktas,即云体覆盖天空的八分之一比例) * 风程:千米 * 水汽压:帕斯卡(Pa)

创建时间:
2019-07-09
二维码
社区交流群
二维码
科研交流群
商业服务