遇见数据集

Number of days for Maximum Temperature under 10th percentile for Near Future (2046-2065)

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Mendeley Data2024-01-31 更新2024-06-28 收录
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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/

模式运行时段:近期未来(2046-2065年)(原文重复标注该时段)。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]研发。该方法为当前主流的经验统计降尺度技术,可输出气象站点尺度下对全球气候变化强迫的响应结果(方法学细节详见Hewitson与Crane(2006)的研究,Wilby等人(2004)的综述则对该方法及其他统计降尺度技术进行了系统性梳理)。大气环流模式(General Circulation Model, GCM)的降尺度过程,通过从历史观测数据所定义的当日大气状态中推导得到标准局地响应来完成。[1] http://www.csag.uct.ac.za/

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2024-01-31
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