秘鲁西北部强降雨事件(零散气象数据可视化)

L. Treinish
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引用次数: 11

摘要

秘鲁沿海地区通常干旱的气候每隔几年就会受到厄尔尼诺现象的干扰,其特征是太平洋变暖。严重的暴雨是厄尔尼诺现象的后果之一,它会造成巨大的破坏。对秘鲁西北部Chiura-Piura地区从1982年末到1983年中期(与厄尔尼诺事件有关)的66个雨量站的每日数据进行了检查,得出了这些风暴的中尺度结构的信息。这些观测数据是典型的一类在二维空间中分散在不规则位置的数据。使用连续实现技术进行定性可视化(例如,表面变形或轮廓)需要一个中间步骤来定义数据位置之间的拓扑关系,以形成网格结构。讨论了几种常用的方法,并分析了它们在降雨事件研究中的应用结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Severe rainfall events in Northwestern Peru (visualization of scattered meteorological data)
The ordinarily arid climate of coastal Peru is disturbed every few years by a phenomenon called El Nino, characterized by a warming in the Pacific Ocean. Severe rainstorms are one of the consequences of El Nino, which cause great damage. An examination of daily data from 66 rainfall stations in the Chiura-Piura region of northwestern Peru from late 1982 through mid-1983 (associated with an El Nino episode) yields information on the mesoscale structure of these storms. These observational data are typical of a class that are scattered at irregular locations in two dimensions. The use of continuous realization techniques for qualitative visualization (e.g., surface deformation or contouring) requires an intermediate step to define a topological relationship between the locations of data to form a mesh structure. Several common methods are considered, and the results of their application to the study of the rainfall events are analyzed.<>
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