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Continuous simulation of rainfall at ungauged locations - A non-parametric disaggregation approach

机译：未凝固地点降雨的连续模拟 - 非参数分解方法

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Continuous simulation of extended rainfall sequences is becoming an increasingly important tool in rainfall-runoff modelling and design flood estimation. Recently, a nonparametric approach was developed in which continuous (sub-daily) rainfall fragments are conditioned to daily rainfall on the current day and the rainfall state (wet or dry) on adjacent days using a k-nearest neighbour conditional resampling algorithm. A limitation of this approach is that extended pluviograph records at the location of interest are required, limiting applicability to only a small number of locations across Australia where such records are available. In this paper we present a generalisation to the above approach in which sub-daily rainfall fragments can be drawn from a set of 'nearby' stations, with distance defined by latitude, longitude, distance to coast and elevation. This method performs well in simulating both Intensity-Frequency-Duration characteristics and antecedent moisture, and thus provides a framework for simulating continuous rainfall sequences at any location in Australia, provided long daily sequences are available or can be generated.
机译：延长降雨序列的连续模拟正在降雨 - 径流建模和设计洪水估算中成为一个越来越重要的工具。最近，开发了一种非参数方法，其中在当前日期和使用K最近邻条件重采样算法的相邻天中的每天降雨量和降雨状态（湿或干燥）的连续（次日）降雨量。这种方法的限制是需要在澳大利亚跨越澳大利亚的少数地点的适用性，限制了感兴趣地点的扩展普通记录。在本文中，我们向上述方法提出了一种概括，其中可以从一组“附近的”站中汲取的次日降雨片段，其中距离定经，距离海岸和高度距离。该方法在模拟强度频率持续时间特征和前一种湿度的情况下表现良好，因此提供了一种用于模拟澳大利亚任何位置的连续降雨序列的框架，提供了长期的日常序列或可以产生。

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