CRU CY 4.03: Climatic Research Unit year-by-year variation of selected climate variables by country version 4.03 (Jan. 1901 - Dec. 2018)

The Climatic Research Unit (CRU) Country (CY) data version 4.03 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes. This dataset was produced in 2019 by CRU at the University of East Anglia and extends the CRU CY4.02 data to include 2018. The data are available as text files with the extension '.per' and can be opened by most text editors. Spatial averages are calculated using area-weighted means. CRU CY4.03 is derived directly from the CRU time series (TS) 4.03 dataset. CRU CY version 4.03 spans the period 1901-2018 for 292 countries. To understand the CRU CY4.03 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.03. It is therefore recommended that all users read the Harris et al, 2014 paper and the CRU TS4.03 release notes listed in the online documentation on this record. CRU CY data are available for download to all CEDA users.

气候研究单位（Climatic Research Unit，缩写CRU）国家（Country，缩写CY）4.03版数据集包含10种气候变量，以月、季、年为时间分辨率统计国家尺度平均数据，涵盖云量、气温日较差、霜日频数、降水量、日平均气温、月均日最高与最低气温、水汽压以及潜在蒸散量。本版本采用了更新后的国家划分标准，请参阅对应版本发布说明文档。本数据集由东英吉利大学CRU于2019年编制，在CRU CY4.02数据集的基础上将时间跨度延伸至2018年。数据以扩展名为.per的文本文件格式提供，可通过绝大多数通用文本编辑器打开查看。空间平均值通过面积加权平均法计算得出。CRU CY4.03数据集直接衍生自CRU时间序列（Time Series，缩写TS）4.03数据集。CRU CY4.03数据集覆盖292个国家1901年至2018年的时间跨度。若要全面理解CRU CY4.03数据集，需先明晰其母数据集CRU TS4.03的构建逻辑与局限性。因此，建议所有用户阅读Harris等人2014年发表的相关论文，以及本记录在线文档中收录的CRU TS4.03版本发布说明文档。所有CEDA用户均可下载获取CRU CY系列数据集。