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首页> 外文期刊>Atmospheric Measurement Techniques >Something fishy going on? Evaluating the Poisson hypothesis for rainfall estimation using intervalometers: results from an experiment in Tanzania
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Something fishy going on? Evaluating the Poisson hypothesis for rainfall estimation using intervalometers: results from an experiment in Tanzania

机译:腥吃的东西? 使用跨空间计评估降雨估计的泊松假设:坦桑尼亚的实验结果

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A new type of rainfall sensor (the intervalometer), which counts the arrival of raindrops at a piezo electric element, is implemented during the Tanzanian monsoon season alongside tipping bucket rain gauges and an impact disdrometer. The aim is to test the validity of the Poisson hypothesis underlying the estimation of rainfall rates using an experimentally determined raindrop size distribution parameterisation based on Marshall and Palmer ( 1948 ) 's exponential one. These parameterisations are defined independently of the scale of observation and therefore implicitly assume that rainfall is a homogeneous Poisson process. The results show that 28.3? % of the total intervalometer observed rainfall patches can reasonably be considered Poisson distributed and that the main reasons for Poisson deviations of the remaining 71.7? % are non-compliance with the stationarity criterion (45.9? % ), the presence of correlations between drop counts (7.0? % ), particularly at higher arrival rates ( ρ a 500 ? m - 2 s - 1 ), and failing a χ 2 goodness-of-fit test for a Poisson distribution (17.7? % ). Our results show that whilst the Poisson hypothesis is likely not strictly true for rainfall that contributes most to the total rainfall amount, it is quite useful in practice and may hold under certain rainfall conditions. The parameterisation that uses an experimentally determined power law relation between N 0 and rainfall rate results in the best estimates of rainfall amount compared to co-located tipping bucket measurements. Despite the non-compliance with the Poisson hypothesis, estimates of total rainfall amount over the entire observational period derived from disdrometer drop counts are within 4? % of co-located tipping bucket measurements. Intervalometer estimates of total rainfall amount overestimate the co-located tipping bucket measurement by 12? % . The intervalometer principle shows potential for use as a rainfall measurement instrument.
机译:一种新型的降雨传感器(间隔计),其计算压电元件的雨滴到达,在坦桑尼亚季风季节和撞击铲斗雨量仪和冲击消除仪中实现。目的是使用基于Marshall和Palmer(1948)的指数级的​​实验确定的雨水大小分布参数来测试降雨率估计的泊松假设的有效性。这些参数化独立于观察规模定义,因此隐含地假设降雨是一个均匀的泊松过程。结果表明28.3?总分隔率的百分比观察到的降雨补丁可以合理地被认为是泊松分布的,剩余71.7的泊松偏差的主要原因? %是不符合公式标准(45.9〜%),下降计数(7.0〜%)之间存在相关性,特别是在较高到达速率(ρa>500μm-2 s-1),并且失败aχ2泊松分布的健康测试(17.7?%)。我们的研究结果表明,虽然泊松假设可能对降雨可能没有严格造成贡献总额量的降雨量,但在实践中非常有用,可能在某些降雨条件下持有。与N 0和降雨率之间使用实验确定的电力律关系的参数化导致与共同划分桶测量相比的降雨量的最佳估计。尽管不遵守泊松假设,但在4岁以下的全部观察期间的降雨量总额的估计值在4岁以下?百分比折叠桶测量的百分比。间隔计估计总降雨量超过共同定位的折叠桶测量12? %。间隔计原理显示用作降雨测量仪器的可能性。

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