Mean annual precipitation 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/c26a65020a5e4b80b20018f148556681CRU时间序列4.05（CRU Time Series 4.05）数据集由多方资助方支持开发，并经后续更新、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。目前，该数据集的长期支持由英国国家大气科学中心（National Centre for Atmospheric Science, NCAS）提供，该中心是NERC下属的合作中心。当前的格点产品（CRU TS）可分为ASCII格点数据与NetCDF格式数据两类。布罗汉等人（Brohan et al.）在2006年及此前发表的研究中所采用的格点化流程，将每一个气象站点分配至其所在的5度经纬网格框内。该流程仅对1851年起各月中，每个网格框内所有可用的站点气温（以1961-1990年为基准的距平值）进行简单平均计算。该流程未考虑站点海拔或其在网格框内的具体位置，因气温距平与海拔之间几乎不存在一致的相关性。站点的最新位置信息对格点化流程并无影响，除非站点因迁移而进入相邻的网格框。在此类情况下，该数据将作为原始数据集的子集进行提取。CRU以NetCDF文件格式发布该数据集，但为便于数据可视化，该数据集被转换为规整数据表（tidy tables），并由南非环境观测网络的uLwazi节点存储于南非风险与脆弱性地图集（South African Risk and Vulnerability Atlas, SARVA）中。引用信息：东英吉利大学气候研究单位（Climatic Research Unit, CRU）；Harris, I.C.；Jones, P.D.；Osborn, T.（2021）：CRU TS4.05：1901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位时间序列（CRU Time-Series, TS）4.05版本。NERC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