Rainfall days per month (> 2mm) for Far Future (2080 - 2100)

Model Run: Far future (2080 - 2100) (Far future (2080 - 2100)). 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/

模型运行时段：远未来期（2080-2100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）研发[1]。该方法为当前主流的经验降尺度技术，可提供气象站点尺度对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）的相关工作）。通用环流模式（General Circulation Model, GCM）的降尺度过程通过从当日大气状态中提取典型局地响应完成，该大气状态的定义依据历史观测数据。[1] http://www.csag.uct.ac.za/