Mean annual temperature 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数据集由多家资助方支持开发，并历经后续更新、优化与维护，主要资助方为英国自然环境研究委员会（Natural Environment Research Council, NERC）与美国能源部。目前，该数据集的长期支持由英国国家大气科学中心（UK National Centre for Atmospheric Science, NCAS）提供，该中心为NERC旗下的协作中心。当前的格点产品（CRU TS）可采用ASCII格点格式或网络通用数据格式（NetCDF）存储。Brohan等人2006年的研究及早期文献中采用的格点化方法，会将每个气象站点分配至其所在的5°经纬度网格盒中。该格点化过程针对1851年以来的每个月，对每个网格盒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。该过程未考虑站点的海拔高度，以及站点在网格盒内的具体位置——因气温距平值与海拔高度几乎不存在一致的相关性。站点的最新位置信息对格点化过程无影响，除非站点迁移至相邻的网格盒内。在此类情况下，相关数据将作为原始数据集的子集提取。CRU以网络通用数据格式（NetCDF）发布该数据集，但为便于数据可视化，南非环境观测网络的uLwazi节点将其转换为规整数据表（tidy tables），并收录于南非风险与脆弱性地图集（South African Risk and Vulnerability Atlas, SARVA）中。引用信息：东安格利亚大学气候研究单元；Harris, I.C.；Jones, P.D.；Osborn, T.（2021）：CRU TS4.05：高分辨率逐月气候变率网格化数据（1901年1月—2020年12月）的气候研究单元时间序列第4.05版。英国自然环境研究委员会环境数据服务中心（NERC EDS）环境数据分析中心，2021。https://catalogue.ceda.ac.uk/uuid/c26a65020a5e4b80b20018f148556681