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Temporal and spatial scaling impacts on extreme precipitation

机译:对极端降水的时间和空间缩放影响

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Convective and stratiform precipitation events have fundamentally different physical causes. Using a radar composite over Germany, this study separates these precipitation types and compares extremes at different spatial and temporal scales, ranging from 1 to 50 km and 5 min to 6 h, respectively. Four main objectives are addressed. First, we investigate extreme precipitation intensities for convective and stratiform precipitation events at different spatial and temporal resolutions to identify type-dependent space and time reduction factors and to analyze regional and seasonal differences over Germany. We find strong differences between the types, with up to 30% higher reduction factors for convective compared to stratiform extremes, exceeding all other observed seasonal and regional differences within one type. Second, we investigate how the differences in reduction factors affect the contribution of each type to extreme events as a whole, again dependent on the scale and the threshold chosen. A clear shift occurs towards more convective extremes at higher resolution or higher percentiles. For horizontal resolutions of current climate model simulations, i.e., similar to 10 km, the temporal resolution of the data as well as the chosen threshold have profound influence on which type of extreme will be statistically dominant. Third, we compare the ratio of area to duration reduction factor for convective and stratiform events and find that convective events have lower effective advection velocities than stratiform events and are therefore more strongly affected by spatial than by temporal aggregation. Finally, we discuss the entire precipitation distribution regarding data aggregation and identify matching pairs of temporal and spatial resolutions where similar distributions are observed. The information is useful for planning observational networks or storing model data at different 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。本研究使用雷达复合材料,本研究将这些沉淀类型分开,并将极端与不同的空间和时间鳞片相比,分别从1到50公里到5分钟到6小时。解决了四个主要目标。首先,我们研究了不同空间和时间分辨率的对流和层状降水事件的极端降水强度,以识别类型依赖的空间和时间减少因素,并分析德国的区域和季节性差异。我们在类型之间发现了强烈的差异,与模型极端相比,对对流的减少因素高达30%,超过了一种类型的所有其他观察到的季节性和区域差异。其次,我们调查了减少因素的差异如何影响每种类型的贡献作为整体的极端事件,再次依赖于所选择的规模和阈值。在较高分辨率或更高百分比上发生更清晰的移位。对于当前气候模型模拟的水平分辨率,即类似于10公里,数据的时间分辨率以及所选阈值的时间分辨率有深刻的影响,这些类型的极端将在统计上占主导地位。第三,我们比较对流和层状事件的区域与持续时间减少因子的比率,发现对流事件具有比层状事件更低的有效的平坦速度,因此受到空间的影响而不是时间聚集。最后,我们讨论了关于数据聚集的整个降水分布,并识别观察到类似分布的时间和空间分辨率对。这些信息对于规划观测网络或在不同的时间和空间尺度上存储模型数据是有用的。

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