气候变化领域集成服务门户(CCPortal): Temporal-And spatial-scale and positional effects on rain erosivity derived from point-scale and contiguous rain data

CCPortal

DOI	10.5194/hess-22-6505-2018
	Temporal-And spatial-scale and positional effects on rain erosivity derived from point-scale and contiguous rain data
	Fischer F.K.; Winterrath T.; Auerswald K.
发表日期	2018
ISSN	1027-5606
起始页码	6505
结束页码	6518
卷号	22 期号:12
英文摘要	Up until now, erosivity required for soil loss predictions has been mainly estimated from rain gauge data at point scale and then spatially interpolated to erosivity maps. Contiguous rain data from weather radar measurements, satellites, cellular communication networks and other sources are now available, but they differ in measurement method and temporal and spatial scale from data at point scale. We determined how the intensity threshold of erosive rains has to be modified and which scaling factors have to be applied to account for the differences in method and scales. Furthermore, a positional effect quantifies heterogeneity of erosivity within 1 km2, which presently is the highest resolution of freely available gauge-Adjusted radar rain data. These effects were analysed using several large data sets with a total of approximately 2×10 6 erosive events (e.g. records of 115 rain gauges for 16 years distributed across Germany and radar rain data for the same locations and events). With decreasing temporal resolution, peak intensities decreased and the intensity threshold was met less often. This became especially pronounced when time increments became larger than 30 min. With decreasing spatial resolution, intensity peaks were also reduced because additionally large areas without erosive rain were included within one pixel. This was due to the steep spatial gradients in erosivity. Erosivity of single events could be zero or more than twice the mean annual sum within a distance of less than 1 km. We conclude that the resulting large positional effect requires use of contiguous rain data, even over distances of less than 1 km, but at the same time contiguously measured radar data cannot be resolved to point scale. The temporal scale is easier to consider, but with time increments larger than 30 min the loss of information increases considerably. We provide functions to account for temporal scale (from 1 to 120 min) and spatial scale (from rain gauge to pixels of 18 km width) that can be applied to rain gauge data of low temporal resolution and to contiguous rain data. © 2018 Author(s).
语种	英语
scopus关键词	Communication satellites; Laser beam welding; Meteorological radar; Mobile telecommunication systems; Pixels; Radar measurement; Rain gages; Weather satellites; Highest resolutions; Intensity threshold; Measurement methods; Spatial gradients; Spatial resolution; Temporal and spatial; Temporal resolution; Time increments; Rain; heterogeneity; radar interferometry; rainfall; raingauge; spatial analysis; spatial resolution; temporal analysis; threshold; water erosion; Germany
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159822
作者单位	Fischer, F.K., Lehrstuhl für Grünlandlehre, Technische Universität München, Freising, 85354, Germany, Bayerische Landesanstalt für Landwirtschaft, Freising, 85354, Germany, Außenstelle Weihenstephan, Deutscher Wetterdienst, Freising, 85354, Germany; Winterrath, T., Zentrale, Deutscher Wetterdienst, Offenbach am Main, 63067, Germany; Auerswald, K., Lehrstuhl für Grünlandlehre, Technische Universität München, Freising, 85354, Germany
推荐引用方式 GB/T 7714	Fischer F.K.,Winterrath T.,Auerswald K.. Temporal-And spatial-scale and positional effects on rain erosivity derived from point-scale and contiguous rain data[J],2018,22(12).
APA	Fischer F.K.,Winterrath T.,&Auerswald K..(2018).Temporal-And spatial-scale and positional effects on rain erosivity derived from point-scale and contiguous rain data.Hydrology and Earth System Sciences,22(12).
MLA	Fischer F.K.,et al."Temporal-And spatial-scale and positional effects on rain erosivity derived from point-scale and contiguous rain data".Hydrology and Earth System Sciences 22.12(2018).