DOI: 10.5194/hess-20-3907-2016
Scopus记录号: 2-s2.0-84989350563
论文题名: Areal rainfall estimation using moving cars – Computer experiments including hydrological modeling
作者: Rabiei E ; , Haberlandt U ; , Sester M ; , Fitzner D ; , Wallner M
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 9 起始页码: 3907
结束页码: 3922
语种: 英语
Scopus关键词: Gages
; Hydrology
; Image resolution
; Radar
; Rain
; Rain gages
; Discharge simulations
; Hydrological analysis
; Hydrological modeling
; In-laboratory experiments
; Laboratory experiments
; Measurement accuracy
; Rainfall estimations
; Rainfall measurements
; Precipitation (meteorology)
; computer simulation
; discharge
; hydrological modeling
; precipitation assessment
; precipitation intensity
; radar
; rainfall
; spatial resolution
; spatiotemporal analysis
; transport vehicle
英文摘要: The need for high temporal and spatial resolution precipitation data for hydrological analyses has been discussed in several studies. Although rain gauges provide valuable information, a very dense rain gauge network is costly. As a result, several new ideas have emerged to help estimating areal rainfall with higher temporal and spatial resolution. Rabiei et al. (2013) observed that moving cars, called RainCars (RCs), can potentially be a new source of data for measuring rain rate. The optical sensors used in that study are designed for operating the windscreen wipers and showed promising results for rainfall measurement purposes. Their measurement accuracy has been quantified in laboratory experiments. Considering explicitly those errors, the main objective of this study is to investigate the benefit of using RCs for estimating areal rainfall. For that, computer experiments are carried out, where radar rainfall is considered as the reference and the other sources of data, i.e., RCs and rain gauges, are extracted from radar data. Comparing the quality of areal rainfall estimation by RCs with rain gauges and reference data helps to investigate the benefit of the RCs. The value of this additional source of data is not only assessed for areal rainfall estimation performance but also for use in hydrological modeling. Considering measurement errors derived from laboratory experiments, the result shows that the RCs provide useful additional information for areal rainfall estimation as well as for hydrological modeling. Moreover, by testing larger uncertainties for RCs, they observed to be useful up to a certain level for areal rainfall estimation and discharge simulation. © Author(s) 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78724
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Water Resources Management, Hydrology and Agricultural Hydraulic Engineering, Leibniz University of Hanover, Hanover, Germany; Institute of Cartography and Geoinformatics, Leibniz University of Hanover, Hanover, Germany; Federal Institute for Geosciences and Natural Resources, Groundwater Resources - Quality and Dynamics, Hanover, Germany
Recommended Citation:
Rabiei E,, Haberlandt U,, Sester M,et al. Areal rainfall estimation using moving cars – Computer experiments including hydrological modeling[J]. Hydrology and Earth System Sciences,2016-01-01,20(9)