Modelling extremes of the areal rainfall process.

S. Coles, J. Tawn
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引用次数: 171

Abstract

Risk assessment for many hydrological structures requires an estimate of the extremal behaviour of the rainfall regime within a specified catchment region. In most cases it is the spatially aggregated rainfall which is the key process, though in practice only pointwise rainfall measurements from a network of sites over the region are available. In this paper we address the problem of making inferences about the extremal properties of the aggregated process from the pointwise data. Working within the usual extreme value paradigm, a model is derived in which the resulting distribution is determined by the marginal tail behaviour and spatial dependence at extreme levels of the process. Data collected from a region in the south-west of England are used to illustrate the procedure.
模拟极端区域降雨过程。
对许多水文结构进行风险评估需要对特定集水区内降雨状况的极端行为进行估计。在大多数情况下,空间累积的降雨是关键的过程,尽管实际上只能从该地区的站点网络中获得逐点的降雨测量。本文讨论了从点数据推断聚合过程极值性质的问题。在通常的极值范式中工作,导出了一个模型,其中所得分布由过程极端水平的边际尾行为和空间依赖性决定。从英格兰西南部的一个地区收集的数据被用来说明这个过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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