National Centre for Atmospheric Science, Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK.
Sci Data. 2020 Apr 3;7(1):109. doi: 10.1038/s41597-020-0453-3.
CRU TS (Climatic Research Unit gridded Time Series) is a widely used climate dataset on a 0.5° latitude by 0.5° longitude grid over all land domains of the world except Antarctica. It is derived by the interpolation of monthly climate anomalies from extensive networks of weather station observations. Here we describe the construction of a major new version, CRU TS v4. It is updated to span 1901-2018 by the inclusion of additional station observations, and it will be updated annually. The interpolation process has been changed to use angular-distance weighting (ADW), and the production of secondary variables has been revised to better suit this approach. This implementation of ADW provides improved traceability between each gridded value and the input observations, and allows more informative diagnostics that dataset users can utilise to assess how dataset quality might vary geographically.
CRU TS（气候研究单位网格化时间序列）是一个广泛使用的气候数据集，覆盖了世界上除南极洲以外的所有陆地领域，网格间距为 0.5°纬度×0.5°经度。它是通过对广泛的气象站观测网络中的月气候异常进行插值得到的。在这里，我们描述了一个主要新版本的构建，即 CRU TS v4。通过增加额外的站观测数据，它的时间范围更新到 1901-2018 年，并将每年更新。插值过程已更改为使用角度距离加权（ADW），并且已经修改了辅助变量的生成，以更好地适应这种方法。这种 ADW 的实现提供了每个网格化值与输入观测值之间更好的可追溯性，并允许更具信息量的诊断，数据集用户可以利用这些诊断来评估数据集质量在地理上可能如何变化。
