Geostatistical radar–raingauge merging: A novel method for the quantification of rain estimation accuracy

Delrieu, Guy; Wijbrans, Annette; Boudevillain, Brice; Faure, Dominique; Bonnifait, Laurent; Kirstetter, Pierre‐Emmanuel

doi:10.1016/j.advwatres.2014.06.005

Cited by 84 publications

(55 citation statements)

References 27 publications

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“…Figure 15 gives an example of hourly estimates together with their uncertainty obtained by the reanalysis methodology laid out in Delrieu et al (2014b). In this example, the estimation is performed for hydrological meshes of 10 km 2 over the four main Cévennes watersheds (Ardèche, Cèze, Gardons, Vidourle).…”

Section: How Efficient Are the Methods Proposed In The Studymentioning

confidence: 99%

Multi-scale hydrometeorological observation and modelling for flash flood understanding

Braud¹,

Ayral

Bouvier

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. This paper presents a coupled observation and modelling strategy aiming at improving the understanding of processes triggering flash floods. This strategy is illustrated for the Mediterranean area using two French catchments (Gard and Ardèche) larger than 2000 km 2 . The approach is based on the monitoring of nested spatial scales: (1) the hillslope scale, where processes influencing the runoff generation and its concentration can be tackled; (2) the small to medium catchment scale (1-100 km 2 ), where the impact of the network structure and of the spatial variability of rainfall, landscape and initial soil moisture can be quantified; (3) the larger scale (100-1000 km 2 ), where the river routing and flooding processes become important. These observations are part of the HyMeX (HYdrological cycle in the Mediterranean EXperiment) enhanced observation period (EOP), which will last 4 years (2012)(2013)(2014)(2015). In terms of hydrological modelling, the objective is to set up regional-scale models, while addressing small and generally ungauged catchments, which represent the scale of interest for flood risk assessment. Topdown and bottom-up approaches are combined and the models are used as "hypothesis testing" tools by coupling model development with data analyses in order to incrementally evaluate the validity of model hypotheses. The paper first presents the rationale behind the experimental set-up and the instrumentation itself. Second, we discuss the associated modelling strategy. Results illustrate the potential of the approach in advancing our understanding of flash flood processes on various scales.

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Section: How Efficient Are the Methods Proposed In The Studymentioning

confidence: 99%

Multi-scale hydrometeorological observation and modelling for flash flood understanding

Braud¹,

Ayral

Bouvier

et al. 2014

Hydrol. Earth Syst. Sci.

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“…However, error structure itself appears to be complex and the development of error metrics, for example from geostatistical techniques, is still a research topic (e.g. (Delrieu et al, 2014a(Delrieu et al, , 2014b). In the present study most flash flood events are modelled with radar rainfalls recalibrated on raingauges with a spatial resolution of 1 km at 5 min time steps (hourly interpolated raingauges otherwise) (Garambois et al, 2014), rainfall moments integrated over storm duration (e.g.…”

Section: Context Of the Issue: Flash Floods Predictions At Ungauged Lmentioning

confidence: 99%

Parameter regionalization for a process-oriented distributed model dedicated to flash floods

Garambois

Roux

Larnier

et al. 2015

Journal of Hydrology

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.Parameter regionalization for a process-oriented distributed model dedicated to flash floods This contribution is one of the first studies about the regionalization of parameter sets for a rainfall-runoff model process-oriented and dedicated to flash floods. MARINE model performances are tested on a large database of 117 flash floods occurred during the last two decades in the French Mediterranean region. Given the scarcity of flash flood data, the dataset used in this study represents a large sample of hydrology and landscapes from Pyrenean, Mediterranean, Cévennes-Vivarais and Provence regions. Spatial proximity and similarity approaches with several combinations of descriptors are tested. Encouraging results are obtained with two similarity approaches based on physiographic descriptors with two and three donor catchments. There is only a small decrease of performance of 10% from cal/val to regionalization for these two methods. For 13 catchments out of 16 there is at least one flood event simulated with rather good performance. This study highlights the importance of hydrological information that is available in calibration events for a gauged catchment and from donor catchment(s) for regionalization. Moreover it is found that regionalization is easier for catchments with an apparently more regular behaviour. The most sensitive parameter of MARINE model, C Z , controlling soil volume and water balance, is rather well constrained by the two similarity approaches thanks to bedrock descriptors.

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“…The derivation of more accurate rainfall fields combining various data sources (such as radar data and in situ gauges (see, for instance, Delrieu et al, 2014) should also be encouraged. It could also be interesting to use actual evapotranspiration estimates derived from remote sensing techniques adapted to complex topography (e.g.…”

Section: Data Qualitymentioning

confidence: 99%

Assessing the simple dynamical systems approach in a Mediterranean context: application to the Ardèche catchment (France)

Adamovic

Braud²,

Branger³

et al. 2015

Hydrol. Earth Syst. Sci.

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Abstract. This study explores how catchment heterogeneity and variability can be summarized in simplified models, representing the dominant hydrological processes. It focuses on Mediterranean catchments, characterized by heterogeneous geology, pedology and land use, as well as steep topography and a rainfall regime in which summer droughts contrast with high-rainfall periods in autumn. The Ardèche catchment (Southeast France), typical of this environment, is chosen to explore the following questions: (1) can such a Mediterranean catchment be adequately characterized by a simple dynamical systems approach and what are the limits of the method under such conditions? (2) what information about dominant predictors of hydrological variability can be retrieved from this analysis in such catchments?In this work we apply the data-driven approach of Kirchner (2009) to estimate discharge sensitivity functions that summarize the behaviour of four sub-catchments of the Ardèche, using low-vegetation periods (November-March) from 9 years of measurements (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008) from operational networks. The relevance of the inferred sensitivity function is assessed through hydrograph simulations, and through estimating precipitation rates from discharge fluctuations. We find that the discharge sensitivity function is downwardcurving in double-logarithmic space, thus allowing further simulation of discharge and non-divergence of the model, only during low-vegetation periods. The analysis is complemented by a Monte Carlo sensitivity analysis showing how the parameters summarizing the discharge sensitivity function impact the simulated hydrographs. The resulting discharge simulation results are good for granite catchments, which are likely to be characterized by shallow subsurface flow at the interface between soil and bedrock. The simple dynamical system hypothesis works especially well in wet conditions (peaks and recessions are well modelled). On the other hand, poor model performance is associated with summer and dry periods when evapotranspiration is high and low-flow discharge observations are inaccurate. In the Ardèche catchment, inferred precipitation rates agree well in timing and amount with observed gauging stations and SAFRAN climatic data reanalysis during the low-vegetation periods. The model should further be improved to include a more accurate representation of actual evapotranspiration, but provides a satisfying summary of the catchment functioning during wet and winter periods.

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Geostatistical radar–raingauge merging: A novel method for the quantification of rain estimation accuracy

Cited by 84 publications

References 27 publications

Multi-scale hydrometeorological observation and modelling for flash flood understanding

Multi-scale hydrometeorological observation and modelling for flash flood understanding

Parameter regionalization for a process-oriented distributed model dedicated to flash floods

Assessing the simple dynamical systems approach in a Mediterranean context: application to the Ardèche catchment (France)

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