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Temporal dependence structure in weights in a multiplicative cascade model for precipitation

机译:降水的乘积级联模型中权重的时间依赖性结构

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We investigate the ability of the multiplicative random cascade model to accurately simulate temporal precipitation. Specifically, we explore the effect of the dependence structure in cascade weights due to clustering and within-storm variability on the temporal correlation in simulated precipitation, and we compare the results with data at 69 stations with 10 min precipitation records in Switzerland. Correlation is quantified with the oscillation coefficient, which is a measure of patterns of fluctuations in data. Simulation results show that the assumption of temporal independence in cascade weights is generally not supported by observations of both rainfall and snowfall, which show generally higher correlation (lower fluctuations) at the hourly time resolution. Seasonal signatures are also apparent, with higher correlation in the cold season with dominant stratiform precipitation than in the warm season with convective precipitation. Measurement artifacts caused by the tipping bucket mechanism at high resolutions (10 min) are shown to play a significant role in the estimation of the correlation structure in cascade weights because of the quantization of precipitation intensity by the tip volume and sampling time resolution of the gauge. These effects are smoothed out at resolutions above 1 h when the oscillation coefficients become independent of resolution. Such measurement artifacts may have an important effect on the estimated scaling and correlation behavior in precipitation at high temporal resolutions.
机译:我们研究了可乘随机级联模型准确模拟时间降水的能力。具体而言,我们研究了由于聚类和风暴内变异性而引起的级联权重依赖结构对模拟降水时间相关性的影响,并将结果与​​瑞士10个降水记录10分钟的69个站点的数据进行了比较。用振荡系数来量化相关性,该振荡系数是数据波动模式的度量。模拟结果表明,降雨和降雪的观测通常不支持级联权重的时间独立性假设,这在小时时间分辨率下通常显示较高的相关性(较低的波动)。季节性特征也很明显,在显着的层状降水的寒冷季节比对流降水的温暖季节具有更高的相关性。由于以尖端体积对降水强度进行了量化以及量规的采样时间分辨率,显示了由高倾翻桶机构在高分辨率(10分钟)下引起的测量伪影在级联权重的相关结构的估计中起着重要作用。 。当振荡系数变得与分辨率无关时,在高于1 h的分辨率下,这些影响将被消除。在高时间分辨率下,这样的测量伪像可能会对降水中的估计尺度和相关行为产生重要影响。

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  • 来源
    《Water resources research》 |2012年第1期|p.W01501.1-W01501.14|共14页
  • 作者单位

    Institute of Environmental Engineering, ETH Zurich CH-8093 Zurich, Switzerland;

    Institute of Environmental Engineering, ETH Zurich CH-8093 Zurich, Switzerland;

    Institute of Environmental Engineering, ETH Zurich CH-8093 Zurich, Switzerland;

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