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Temporal and spatial scaling impacts on extreme precipitation

机译:时间和空间尺度对极端降水的影响

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摘要

Convective and stratiform precipitation events have fundamentally differentphysical causes. Using a radar composite over Germany, this study separatesthese precipitation types and compares extremes at different spatial andtemporal scales, ranging from 1 to 50 km and 5 min to 6 h, respectively.Four main objectives are addressed. First, we investigate extremeprecipitation intensities for convective and stratiform precipitation eventsat different spatial and temporal resolutions to identify type-dependentspace and time reduction factors and to analyze regional and seasonaldifferences over Germany. We find strong differences between the types, withup to 30% higher reduction factors for convective compared to stratiformextremes, exceeding all other observed seasonal and regional differenceswithin one type. Second, we investigate how the differences in reductionfactors affect the contribution of each type to extreme events as a whole,again dependent on the scale and the threshold chosen. A clear shift occurstowards more convective extremes at higher resolution or higher percentiles.For horizontal resolutions of current climate model simulations,i.e., ~10 km, the temporal resolution of the data as well as thechosen threshold have profound influence on which type of extreme will bestatistically dominant. Third, we compare the ratio of area to durationreduction factor for convective and stratiform events and find thatconvective events have lower effective advection velocities than stratiformevents and are therefore more strongly affected by spatial than by temporalaggregation. Finally, we discuss the entire precipitation distributionregarding data aggregation and identify matching pairs of temporal andspatial resolutions where similar distributions are observed. The informationis useful for planning observational networks or storing model data atdifferent temporal and spatial scales.
机译:对流和层状降水事件具有根本不同的物理原因。这项研究使用德国上空的雷达合成物,将这些降水类型分开,并比较了不同时空尺度下的极端情况,分别在1至50 km和5 min至6 h范围内。四个主要目标得以解决。首先,我们研究了不同时空分辨率下对流和层状降水事件的极端降水强度,以确定类型相关的空间和时间减少因素,并分析了德国的区域和季节差异。我们发现这两种类型之间存在巨大差异,与straformformextreme相比,对流的降低因子高出30%,超过了一种类型中所有其他观察到的季节性和区域差异。其次,我们还根据选择的规模和阈值,研究减少因子的差异如何影响每种类型对整体极端事件的影响。对于更高的分辨率或更高的百分位数,向着对流极端发生明显变化。对于当前气候模式模拟的水平分辨率(即〜10 km),数据的时间分辨率以及选择的阈值对哪种极端情况将具有统计学意义优势。第三,我们比较了对流和层状事件的面积与持续时间减少因子的比率,发现对流事件的有效对流速度比层状事件低,因此受空间的影响比受时间聚集的影响更大。最后,我们讨论了有关数据聚集的整个降水量分布,并确定了观察到相似分布的时间和空间分辨率的匹配对。该信息对于计划观测网络或以不同的时空尺度存储模型数据很有用。

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