Diurnal temperature range across South African municipalities from 1983 - 2020

The CRU Time Series 4.05 dataset was developed and has been subsequently updated, improved and maintained with support from a number of funders, principally the UK's Natural Environment Research Council (NERC) and the US Department of Energy. Long-term support is currently provided by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre. Current gridded products (CRU TS) are presented either as ASCII grids, or in NetCDF format. The gridding process used in Brohan et al.. (2006) and earlier publications assigns each station to the 5 degree latitude/longitude box within which it is located. The gridding then simply averages all available station temperatures (as anomalies from 1961-90) within each grid box for each month from 1851. No account is taken of the station's elevation or location within the grid box (anomalies show little consistent dependence on altitude). A more up-to-date location for a station is not important for the gridding, unless a site change were to move the station to an adjacent grid box. In this instance, the data was derived as a subset of the original dataset. CRU publishes the data in NetCDF file format, however for data visualisation purposes the datasets was tranformed into tidy tables, represented in the South African Risk and Vulnerability Atlas (SARVA) by the South African Environmental Observation Network's uLwazi Node. Citation: University of East Anglia Climatic Research Unit; Harris, I.C.; Jones, P.D.; Osborn, T. (2021): CRU TS4.05: Climatic Research Unit (CRU) Time-Series (TS) version 4.05 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2020). NERC EDS Centre for Environmental Data Analysis, 2021. https://catalogue.ceda.ac.uk/uuid/c26a65020a5e4b80b20018f148556681气候研究单元（Climatic Research Unit, CRU）时间序列4.05数据集由多方资助方支持开发，并历经后续更新、优化与维护，主要资助方包括英国自然环境研究委员会（Natural Environment Research Council, NERC）与美国能源部（United States Department of Energy）。目前该数据集的长期支持方为NERC合作中心——英国国家大气科学中心（National Centre for Atmospheric Science, NCAS）。 当前的格点产品（CRU TS）提供两种存储格式：ASCII格点数据与NetCDF格式数据。 Brohan等（2006）及早期发表文献所采用的格点化流程，会将每个气象站点分配至其所在的5°经纬度格框中。自1851年起，针对每个月份，该流程仅对每个格框内所有可用的站点气温（以1961-1990年为基准的距平值）进行简单平均。该流程未考虑站点海拔及其在格框内的具体位置，因气温距平值与海拔的一致性依赖程度较低。除非站点迁移至相邻格框，否则站点的最新位置对格点化流程无显著影响。本数据集为原始数据集的子集。 CRU以NetCDF文件格式发布该数据集，但为适配数据可视化需求，该数据集被转换为整洁表格（tidy tables），由南非环境观测网络的uLwazi节点在南非风险与脆弱性地图集（South African Risk and Vulnerability Atlas, SARVA）中进行展示。 引用信息：东英吉利大学气候研究单元；Harris, I.C.；Jones, P.D.；Osborn, T. (2021)：CRU TS4.05：涵盖1901年1月至2020年12月逐月气候高分辨率格点数据的气候研究单元时间序列版本4.05。英国自然环境研究委员会环境数据服务中心环境数据分析中心（NERC EDS Centre for Environmental Data Analysis）, 2021. https://catalogue.ceda.ac.uk/uuid/c26a65020a5e4b80b20018f148556681