NOAA/National Centers for Environmental Information, Asheville, NC, USA.
Sci Data. 2024 Jun 15;11(1):633. doi: 10.1038/s41597-024-03457-z.
The Global Historical Climatology Network (GHCN) monthly precipitation dataset contains historical time series for thousands of land surface stations worldwide. Initially released in 1992 and revised in 1998, the dataset has been employed in a variety of applications over the past three decades, including operational monitoring, applied research, and international assessments. This paper describes the data and methods used to compile the latest edition (version 4), which has three major enhancements. The first enhancement is to the station network, which increased in size by a factor of five due to the inclusion of dozens of new source datasets, most notably GHCN Daily (GHCNd). The second improvement is the application of a rule-based algorithm to compare and merge records representing the same location. The third enhancement is to the quality assurance approach, now consisting of 18 new checks based on GHCNd and other operational systems. Updated monthly, the resulting dataset consists of time series of monthly precipitation totals at more than 120,000 worldwide stations, including more than 33,000 active observing sites.
全球历史气候学网络(GHCN)月降水数据集包含了全球数千个陆面站的历史时间序列。该数据集最初于 1992 年发布,并于 1998 年修订,在过去的三十年中,已被广泛应用于各种领域,包括业务监测、应用研究和国际评估。本文介绍了用于编制最新版本(第 4 版)的数据和方法,该版本有三个主要改进。第一个改进是站点网络,由于包含了数十个新的源数据集,尤其是 GHCN 每日数据(GHCNd),其规模扩大了五倍。第二个改进是应用基于规则的算法来比较和合并代表同一位置的记录。第三个改进是质量保证方法,现在包括基于 GHCNd 和其他业务系统的 18 个新检查。该数据集每月更新,包含全球 12 万多个站点的月降水总量时间序列,其中包括 33000 多个活跃观测站点。