Impact of spatial and temporal resolution of rainfall inputs on urban hydrodynamic modelling outputs: A multi-catchment investigation

Ochoa-Rodríguez, Susana; Wang, Li-Pen; Gires, Auguste; Pina, Rui; Reinoso-Rondinel, Ricardo; Bruni, Guendalina; Ichiba, Abdellah; Gaitan, Santiago; Cristiano, Elena; Assel, Johan Van; Kröll, Stefan; Murlà-Tuyls, Damian; Tisserand, Bruno; Schertzer, D.; Tchiguirinskaia, Ioulia; Onof, Christian; Willems, Patrick; Veldhuis, Marie-Claire ten

doi:10.1016/j.jhydrol.2015.05.035

Cited by 251 publications

(248 citation statements)

References 60 publications

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“…The relative error (RE), which is a dimensionless index, was applied to evaluate the effect of TRR. The results of original 1-min rainfall process were used as reference, and REs of other results for each event were computed, which is similar to the method used by Ochoa-Rodriguez et al [5]. The evaluation items included volume and peak for gird runoff and subcatchment discharge.…”

Section: Evaluation Of the Effect Of Trrmentioning

confidence: 99%

“…Rainfall variability makes it important to adopt an appropriate rainfall resolution to model hydrological response, especially in urban catchments with short response time [3,4]. In particular, for small urban catchments with drainage area no more than 10 km 2 , the temporal resolution of rainfall (TRR), rather than the spatial resolution of rainfall (SRR), has larger effect on hydrodynamic modelling [5,6]. Data with high TRR contribute to urban hydrology research in many aspects, such as analysing the water balance at short time scale [7], capturing the accurate peak discharge time for flooding events [8], and reducing the uncertainty of hydrological simulation [9].…”

Section: Introductionmentioning

confidence: 99%

“…Radar measurements can provide rainfall data of high TRR and SRR simultaneously [17]. For instance, Ochoa-Rodriguez et al [5] studied 7 urban catchments of areas between 3 and 8 km 2 and used 16 different combinations of TRR and SRR to investigate their effects on simulated flow. Rafieeinasab et al [18] studied 5 urban catchments with sizes varying from 3.4 to 54.6 km 2 and assessed the sensitivity of hydrological simulation to the temporal and spatial resolutions of precipitation and hydrologic modelling.…”

Section: Introductionmentioning

confidence: 99%

“…Gires et al [31] also achieved a 1D/2D model, Multi-Hydro, that is more sensitive to rainfall variability than the simpler 1D model. Therefore, it is important to test the significance of TRR using a detailed model along with high resolution rainfall as input to resolve the resolution consistency [5,32], which can thus provide more sensible recommendations on rainfall resolution required for detailed urban flood modelling.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes

Lyu

Cao

et al. 2018

Water

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Rainfall exhibits substantial variability, and its temporal resolution considerably affects simulation of hydrological processes. This study aims to investigate the effect of the temporal resolution of rainfall (TRR) on urban flood modeling and to explore how high TRR is required. A routing-enhanced detailed urban stormwater (REDUS) model, which has four layers and accounts for complex urban flow paths, was developed and then applied to the campus of Tsinghua University, Beijing, China. For 30 rainfall events at 1-min resolution, the rainfall accuracy index (RAI) was used to describe the discrepancy of rainfall patterns by upscaling. Through hydrodynamic modelling, the effect of TRR was quantified by the relative error of flood volume and peak in typical areas. The results show that (1) flood peak is sensitive to TRR while flood volume is generally not; (2) with lower TRR, discharge peak is underestimated, and a power function is proposed to express the relationship between the effect of TRR and the characteristics of rainfall and underlying surfaces; and (3) rainfall data of 5-min resolution for urban areas smaller than 1 km 2 , or at least 15-min resolution for larger areas, are required to constrain the relative biases of flood peak within 10%.

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Section: Evaluation Of the Effect Of Trrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes

Lyu

Cao

et al. 2018

Water

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“…The need for spatially variable rainfall inputs instead of uniform "blanket" rainfall is an active research topic [30,31].…”

Section: Urban Hydrodynamic Modelmentioning

confidence: 99%

Pluvial Flooding in European Cities—A Continental Approach to Urban Flood Modelling

Guerreiro

Glenis

Dawson

et al. 2017

Water

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Pluvial flooding is caused by localized intense rainfall and the flood models used to assess it are normally applied on a city (or part of a city) scale using local rainfall records and a high resolution digital elevation model (DEM). Here, we attempt to model pluvial flooding on a continental scale and calculate the percentage of area flooded for all European cities for a 10-year return period for hourly rainfall (RP10). Difficulties in obtaining hourly rainfall records compromise the estimation of each city RP10 and the Europe-wide DEM spatial resolution is low relative to those typically used for individual case-studies. Nevertheless, the modelling capabilities and necessary computing power make this type of continental study now possible. This is a first attempt at continental city flooding modelling and our methodology was designed so that our results can easily be updated as better/more data becomes available. The results for each city depend on the interplay of rainfall intensity, the elevation map of the city and the flow paths that are created. In general, cities with lower percentage of city flooded are in the north and west coastal areas of Europe, while the higher percentages are seen in continental and Mediterranean areas.

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Describing the catchment‐averaged precipitation as a stochastic process improves parameter and input estimation

Giudice

Albert

Rieckermann

et al. 2016

Water Resources Research

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Rainfall input uncertainty is one of the major concerns in hydrological modeling. Unfortunately, during inference, input errors are usually neglected, which can lead to biased parameters and implausible predictions. Rainfall multipliers can reduce this problem but still fail when the observed input (precipitation) has a different temporal pattern from the true one or if the true nonzero input is not detected. In this study, we propose an improved input error model which is able to overcome these challenges and to assess and reduce input uncertainty. We formulate the average precipitation over the watershed as a stochastic input process (SIP) and, together with a model of the hydrosystem, include it in the likelihood function. During statistical inference, we use ''noisy'' input (rainfall) and output (runoff) data to learn about the ''true'' rainfall, model parameters, and runoff. We test the methodology with the rainfall-discharge dynamics of a small urban catchment. To assess its advantages, we compare SIP with simpler methods of describing uncertainty within statistical inference: (i) standard least squares (LS), (ii) bias description (BD), and (iii) rainfall multipliers (RM). We also compare two scenarios: accurate versus inaccurate forcing data. Results show that when inferring the input with SIP and using inaccurate forcing data, the whole-catchment precipitation can still be realistically estimated and thus physical parameters can be ''protected'' from the corrupting impact of input errors. While correcting the output rather than the input, BD inferred similarly unbiased parameters. This is not the case with LS and RM. During validation, SIP also delivers realistic uncertainty intervals for both rainfall and runoff. Thus, the technique presented is a significant step toward better quantifying input uncertainty in hydrological inference. As a next step, SIP will have to be combined with a technique addressing model structure uncertainty.

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Impact of spatial and temporal resolution of rainfall inputs on urban hydrodynamic modelling outputs: A multi-catchment investigation

Cited by 251 publications

References 60 publications

Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes

Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes

Pluvial Flooding in European Cities—A Continental Approach to Urban Flood Modelling

Describing the catchment‐averaged precipitation as a stochastic process improves parameter and input estimation

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