Mean annual vapour pressure across South African municipalities from 1991 - 2019

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 Time Series 4.05数据集由多方资助开发，并后续持续更新、改进与维护，主要资助方包括英国自然环境研究理事会（Natural Environment Research Council, NERC）与美国能源部，目前由NERC合作中心——英国国家大气科学中心（National Centre for Atmospheric Science, NCAS）提供长期支持。 当前的格点产品（CRU TS）提供两种发布格式：ASCII格点文件与NetCDF格式。Brohan等（2006年）及早期研究采用的格点化流程，将每个气象站点分配至其所在的5°经纬度网格盒中，随后对1851年以来各月、每个网格盒内所有可用站点的气温（以1961-1990年为基准期的距平值）进行简单平均。该流程未考虑站点海拔或其在网格盒内的具体位置（现有气候距平值与海拔无显著一致相关性），且除非站点迁移至相邻网格盒，否则站点位置的更新对格点化结果无影响，此类场景下的数据将作为原始数据集的子集进行处理。 CRU以NetCDF格式发布该数据集，而为适配数据可视化需求，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节点在南非风险与脆弱性地图集（South African Risk and Vulnerability Atlas, SARVA）中进行呈现。 引用格式：东英吉利大学气候研究单元；Harris, I.C.；Jones, P.D.；Osborn, T.（2021）：CRU TS4.05：高精度逐月气候变率格点数据（1901年1月—2020年12月）的气候研究单元时间序列（CRU TS）第4.05版。英国自然环境研究理事会环境数据分析中心（NERC EDS Centre for Environmental Data Analysis），2021。https://catalogue.ceda.ac.uk/uuid/c26a65020a5e4b80b20018f148556681