Hydrologie und Wasserwirtschaft

Maniak, Ulrich

doi:10.1007/978-3-662-07831-0

Cited by 20 publications

(17 citation statements)

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“…However, the extrapolation is limited by the length of the simulated runoff time series. As per Maniak (2005), a maximum return period of 3 times the runoff time series length should be used to avoid statistical uncertainties that are too high, caused by extrapolation. This results in 75 years for Pionierbrücke, 21 years for Tetendorf and 45 years for Reckershausen.…”

Section: Rainfall-runoff Model Resultsmentioning

confidence: 99%

“…For the calibration, a special focus is given to the extreme values of the summer (1 May-31 October) and winter period (1 November-30 April). Therefore, the maximum observed value of each half year was extracted from both data sources, 20001929-20061952-2005Tetendorf 20041986-20001986-2000Reckershausen 20041964-20061974-2005 observed hourly time series and monthly extreme values, to generate periods as long as possible.…”

Section: Runoff Datamentioning

confidence: 99%

“…In the second step, areal rainfall for each subcatchment is calculated through the arithmetic mean of all raster cells within the subcatchment. If the areal rainfall of a subcatchment is dominated by one station, it could be questioned whether areal rainfall intensities should be reduced (by, e.g., areal reduction factors; Sivapalan and Blöschl, 1998;Veneziano and Langousis;2005;Wright et al, 2013) to avoid an overestimation (e.g., Peleg et al, 2018). Since underestimations also occur in the continuous simulation if this station was not in the center of the storm, no areal reduction was carried out.…”

Section: (A) Hbv-iww Including Calibration Proceduresmentioning

confidence: 99%

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Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence?

Müller-Thomy

Wallner²,

Förster

2018

Hydrol. Earth Syst. Sci.

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Abstract. 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.

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Section: Rainfall-runoff Model Resultsmentioning

confidence: 99%

Section: Runoff Datamentioning

confidence: 99%

Section: (A) Hbv-iww Including Calibration Proceduresmentioning

confidence: 99%

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Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence?

Müller-Thomy

Wallner²,

Förster

2018

Hydrol. Earth Syst. Sci.

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“…Soil Conservation Service [ Soil Conservation Service , 1972] proposed λ = 0.2, which is also adopted in the German guidelines [ Deutscher Verband für Wasserwirtschaft und Kulturbau , 1985]. Maniak [1988, p. 330] argue, that this value is too high for catchment in Central Europe and recommend a value of λ = 0.05. The Austrian data shows that indeed curve number based on λ = 0.05 could be better fitted to the observed data.…”

Section: Resultsmentioning

confidence: 99%

A regional analysis of event runoff coefficients with respect to climate and catchment characteristics in Austria

Merz

Blöschl

2009

Water Resources Research

256

218

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In this paper we analyze the controls on the spatiotemporal variability of event runoff coefficients. A total of about 64,000 events in 459 Austrian catchments ranging from 5 to 10000 km2 are analyzed. Event runoff coefficients vary in space, depending on the long‐term controls such as climate and catchment formation. Event runoff coefficients also vary in time, depending on event characteristics such as antecedent soil moisture and event rainfall depth. Both types of controls are analyzed separately in the paper. The spatial variability is analyzed in terms of a correlation analysis of the statistical moments of the runoff coefficients and catchment attributes. Mean runoff coefficients are most strongly correlated to indicators representing climate such as mean annual precipitation and the long‐term ratio of actual evaporation to precipitation through affecting long‐term soil moisture. Land use, soil types, and geology do not seem to exert a major control on runoff coefficients of the catchments under study. The temporal variability is analyzed by comparing the deviation of the event runoff coefficients from their mean depending on event characteristics. The analysis indicates that antecedent soil moisture conditions control runoff coefficients to a higher degree than does event rainfall. The analysis also indicates that soil moisture derived from soil moisture accounting schemes has more predictive power for the temporal variability of runoff coefficients than antecedent rainfall.

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“…The quality, continuity, homogeneity and the length of data records were considered to be more important than the number of stations. Quality control and homogeneity testing of the meteorological stations were performed by calculating the von Neumann ratio (N), the cumulative deviations {Q/n°^ and R/n°'^), and the Bayesian procedures (Buishand 1982;Maniak 1997;Gemmer et al 2004). The data sets of all stations proved to be homogeneous with a significance beyond the 95% confidence level.…”

Section: Data Collectionmentioning

confidence: 99%

Temporal and spatial characteristics of precipitation and droughts in the upper reaches of the Yangtze river basin (China) in recent five decades

Zhang

Xia

Zhang

et al. 2011

Journal of Hydroinformatics

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Drought is one of the most harmful natural hazards in the Upper Reaches of the Yangtze River basin (URYR) in the mid-west part of China. Alterations in precipitation will affect the severity of drought.The nonparametric Mann-Kendall (MK) test was used in this paper to examine the trend of precipitation and the standardized precipitation index (SPI) was adopted to analyze the spatialtemporal variations of meteorological drought over different time scales in the last 50 years. The MK test value of precipitation indicated that, for most of the URYR showed an increasing trend of precipitation in the months of January, February, March and June, mainly in the Min-Tuojiang, Jialingjiang and Wujiang sub-basins and a decreasing trend was observed in August to December.The most obvious decreasing trend of precipitation occurred in the Jialingjiang, upper mainstream and Wujiang sub-basins in September, with a rate ranging from -7.89mm/10 years to -39.36mm/10 years. The results show that the SPI is applicable in the URYR basin. The number of severe droughts differed among the six sub-basins, i.e., a more obvious 3-month drought takes place in the middle of the upper mainstream, Wujiang sub-basins and the southeast of Jialingjiang sub-basin and other droughts in 6, 9 and 12 month timescales have the same effect in these three sub-basins. The outcomes of the paper could provide references for droughts mitigation, local water resources management and agriculture decision making.

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Hydrologie und Wasserwirtschaft

Cited by 20 publications

References 0 publications

Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence?

Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence?

A regional analysis of event runoff coefficients with respect to climate and catchment characteristics in Austria

Temporal and spatial characteristics of precipitation and droughts in the upper reaches of the Yangtze river basin (China) in recent five decades

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