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DOI	10.5194/hess-22-5259-2018
	Rainfall disaggregation for hydrological modeling: Is there a need for spatial consistence?
	Müller-Thomy H.; Wallner M.; Förster K.
发表日期	2018
ISSN	1027-5606
起始页码	5259
结束页码	5280
卷号	22 期号:10
英文摘要	In this study, the influence of disaggregated rainfall products with different degrees of spatial consistence on rainfall-runoff modeling results is analyzed for three mesoscale catchments in Lower Saxony, Germany. For the disaggregation of daily rainfall time series into hourly values, a multiplicative random cascade model is applied. The disaggregation is applied on a station by station basis without consideration of surrounding stations; hence subsequent steps are then required to implement spatial consistence. Spatial consistence is represented here by three bivariate spatial rainfall characteristics that complement each other. A resampling algorithm and a parallelization approach are evaluated against the disaggregated time series without any subsequent steps. With respect to rainfall, clear differences between these three approaches can be identified regarding bivariate spatial rainfall characteristics, areal rainfall intensities and extreme values. The resampled time series lead to the best agreement with the observed ones. Using these different rainfall products as input to hydrological modeling, we hypothesize that derived runoff statistics - with emphasis on seasonal extreme values - are subject to similar differences as well. However, an impact on the extreme values' statistics of the hydrological simulations forced by different rainfall approaches cannot be detected. Several modifications of the study design using rainfall-runoff models with and without parameter calibration or using different rain gauge densities lead to similar results in runoff statistics. Only if the spatially highly resolved rainfall-runoff WaSiM model is applied instead of the semi-distributed HBV-IWW model can slight differences regarding the seasonal peak flows be identified. Hence, the hypothesis formulated before is rejected in this case study. These findings suggest that (i) simple model structures might compensate for deficiencies in spatial representativeness through parameterization and (ii) highly resolved hydrological models benefit from improved spatial modeling of rainfall. © 2018 The Author(s).
语种	英语
scopus关键词	Catchments; Model structures; Rain gages; Runoff; Soil moisture; Time series; Hydrological modeling; Hydrological simulations; Mesoscale catchments; Parameter calibration; Rainfall disaggregation; Rainfall-runoff modeling; Rainfall-runoff models; Resampling algorithms; Rain; Hepatitis B virus
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/159889
作者单位	Müller-Thomy, H., Institute of Hydrology and Water Resources Management, Leibniz Universität Hannover, Hanover, 30175, Germany, Institute of Hydraulic Engineering and Water Resources Management, Vienna University of Technology, Vienna, 1040, Austria; Wallner, M., Bpi Hannover - Beratende Ingenieure, Hanover, 30177, Germany; Förster, K., Institute of Hydrology and Water Resources Management, Leibniz Universität Hannover, Hanover, 30175, Germany, Institute of Geography, University of Innsbruck, Innsbruck, 6020, Austria, AlpS - Centre for Climate Change Adaptation, Innsbruck, 6020, Austria
推荐引用方式 GB/T 7714	Müller-Thomy H.,Wallner M.,Förster K.. Rainfall disaggregation for hydrological modeling: Is there a need for spatial consistence?[J],2018,22(10).
APA	Müller-Thomy H.,Wallner M.,&Förster K..(2018).Rainfall disaggregation for hydrological modeling: Is there a need for spatial consistence?.Hydrology and Earth System Sciences,22(10).
MLA	Müller-Thomy H.,et al."Rainfall disaggregation for hydrological modeling: Is there a need for spatial consistence?".Hydrology and Earth System Sciences 22.10(2018).