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首页> 外文期刊>Journal of hydrometeorology >Interannual Consistency in Fractal Snow Depth Patterns at Two Colorado Mountain Sites
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Interannual Consistency in Fractal Snow Depth Patterns at Two Colorado Mountain Sites

机译：两个科罗拉多山地分形积雪深度模式的年际一致性

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摘要

Fractal dimensions derived from log-log variograms are useful for characterizing spatial structure and scaling behavior in snow depth distributions. This study examines the temporal consistency of snow depth scaling features at two sites using snow depth distributions derived from lidar datasets collected in 2003 and 2005. The temporal snow accumulation patterns in these two years were substantially different, but both years represent nearly average 1 April accumulation depths for these sites, with consistent statistical distributions. Two distinct fractal regions are observed in each log-log variogram, separated by a scale break, which indicates a length scale at which a substantial change in the driving processes exists. The lag distance of the scale break is 15 m at the Walton Creek site and 40 m at the Alpine site. The datasets show consistent fractal dimensions and scale break distances between the two years, suggesting that the scaling features observed in spatial snow depth distributions are largely determined by physiography and vegetation characteristics and are relatively insensitive to annual variations in snowfall. Directional variograms also show consistent patterns between years, with smaller fractal dimensions aligned with the dominant wind direction at each site.
机译：从对数对数变异函数得出的分形维数对于表征雪深分布中的空间结构和尺度变化行为很有用。这项研究使用从2003年和2005年收集的激光雷达数据集得出的积雪深度分布，研究了两个站点积雪深度缩放特征的时间一致性。这两年的积雪时间格局大不相同，但是这两个年份几乎都是4月1日平均积雪这些站点的深度，并具有一致的统计分布。在每个对数对数变异函数中观察到两个截然不同的分形区域，由标度中断分隔，该标度表明驱动程序存在实质性变化的长度标度。沃尔顿溪站点的水垢折断的滞后距离为15 m，而阿尔卑斯山脉站点的水垢折断的滞后距离为40 m。数据集显示了两年之间一致的分形维数和尺度折断距离，这表明在空间积雪深度分布中观察到的尺度特征主要由生理学和植被特征决定，并且对降雪的年度变化相对不敏感。方向变异函数也显示了多年之间的一致模式，较小的分形维数与每个站点的主导风向一致。

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