Regionalizing Africa: Patterns of Precipitation Variability in Observations and Global Climate Models
Regionalizing Africa: Patterns of Precipitation Variability in Observations and Global Climate Models
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非洲区域化：观测和全球气候模型中的降水变化模式
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
C. Peters
中科院分区：
文献类型：
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作者：
H. Badr;A. Dezfuli;B. Zaitchik;C. Peters
许多研究已经记录了在不同时间尺度上影响非洲的巨大气候和环境变化。这些研究往往提出关于从观测和代用指标推断和/或从气候模型得出的变化的空间范围和区域联系的问题。客观的区域化为解决这些问题提供了一个工具。为了证明这一潜力，层次气候区划的非洲观测和GCM历史模拟和未来的预测应用。首先，根据1981-2014年期间气候灾害小组红外降水台站数据的年际降水变化对非洲进行了区域划分。一些数据处理技术和聚类算法进行了测试，以确保气候区域的强大定义。这些区域化结果突出了整个大陆区域气候关联的季节性甚至月与月之间的特异性，例如：
AbstractMany studies have documented dramatic climatic and environmental changes that have affected Africa over different time scales. These studies often raise questions regarding the spatial extent and regional connectivity of changes inferred from observations and proxies and/or derived from climate models. Objective regionalization offers a tool for addressing these questions. To demonstrate this potential, applications of hierarchical climate regionalizations of Africa using observations and GCM historical simulations and future projections are presented. First, Africa is regionalized based on interannual precipitation variability using Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data for the period 1981–2014. A number of data processing techniques and clustering algorithms are tested to ensure a robust definition of climate regions. These regionalization results highlight the seasonal and even month-to-month specificity of regional climate associations across the continent, e...