Minimum of Maximum Temperature for Near Future (2046-2065)

Model Run: Near future (2046 - 2065) (Near future (2046 - 2065)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General Circulation Model (GCM) is accomplished by deriving the normative local response from the atmospheric state on a given day, as defined from historical observed data. [1] http://www.csag.uct.ac.za/

模式运行：近期未来（2046年—2065年）（近期未来（2046年—2065年））。
自组织映射降尺度（Self-Organizing Map Downscaling, SOMD）由开普敦大学气候系统分析小组（Climate Systems Analysis Group, CSAG）[1]开发。
该方法是当前主流的经验降尺度技术，可提供气象站点尺度下全球气候变化强迫的响应（方法学细节参见Hewitson与Crane（2006）的研究，该方法及其他统计降尺度技术的综述可参考Wilby等人2004年的工作）。
大气环流模式（General Circulation Model, GCM）的降尺度处理，可通过从历史观测数据所定义的单日大气状态中推导标准局地响应来实现。
[1] http://www.csag.uct.ac.za/