Total precipitation for the month (mm) 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/

模型运行时段：近未来（2046-2065）（近未来（2046-2065））。自组织映射降尺度法（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。这是一种领先的经验降尺度技术，可提供气象站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），该技术及其他统计降尺度方法的综述参见Wilby等人（2004））。对全球环流模式（General Circulation Model，GCM）的降尺度通过从历史观测数据定义的特定日期大气状态中推导规范性局地响应来实现。[1] http://www.csag.uct.ac.za/