Toward the Use of Coupled Atmospheric and Hydrologic Models at Regional Scale

Benoit, Robert; Pellerin, P.; Kouwen, N.; Ritchie, Harold; Donaldson, Norman; Joe, Paul; Soulis, E. D.

doi:10.1175/1520-0493(2000)128<1681:ttuoca>2.0.co;2

Cited by 65 publications

(44 citation statements)

References 16 publications

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“…Evaluation of the different approaches for bias correction of precipitation and temperature should be based on subsequent hydrologic simulation and calculation of the proposed signature indices. This is especially important when calculated for representative sub-catchments in a larger basin area, where only a sparse network of observation points is available for bias correction (Benoit et al, 2000). In this case, signature indices act as indirect "efficiency measures" or "similarity measures" for the control period of the simulation.…”

Section: Discussionmentioning

confidence: 99%

“…Wood et al (2004) state that hydrological models are sensitive to biases in the basin mean and spatial distribution of precipitation and temperature. In this context, Benoit et al (2000) and Fowler et al (2007) strongly recommend the use of hydrological models for evaluation of downscaled climate instead of using only precipitation observations. However, this raises the question how to quantify differences in hydrological behavior of hydrological catchment models.…”

Section: C Casper Et Al: Analysis Of Projected Hydrological Behamentioning

confidence: 99%

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Analysis of projected hydrological behavior of catchments based on signature indices

Casper

Grigoryan

Gronz

et al. 2012

Hydrol. Earth Syst. Sci.

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Abstract. To precisely map the changes in hydrologic response of catchments (e.g. water balance, reactivity or extremes), we need sensitive and interpretable indicators. In this study we defined nine hydrologically meaningful signature indices: five indices were sampled on the flow duration curve, four indices were closely linked to the distribution of event runoff coefficients. We applied these signature indices to the output from a hydrologic catchment model for three different catchments located in the Nahe basin (Western Germany) to detect differences in runoff behavior resulting from different meteorological input data. The models were driven by measured and simulated (COSMO-CLM) meteorological data. It could be shown that the application of signature indices is a very sensitive tool to assess differences in simulated runoff behavior resulting from climatic data sets of different sources. Specifically, the selected signature indices allow assessing changes in water balance, vertical water distribution, reactivity, seasonality and runoff generation. These indices showed that the hydrological model is very sensitive to biases in mean and spatio-temporal distribution of precipitation and temperature because it acts as a filter for the meteorological input. Besides model calibration and model structural deficits, we found that bias correction of temperature fields and further adjustment of bias correction of precipitation fields is absolutely essential. We conclude that signature indices can act as indirect "efficiency measures" or "similarity measures" for output from regional or local climate models.

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Section: Discussionmentioning

confidence: 99%

Section: C Casper Et Al: Analysis Of Projected Hydrological Behamentioning

confidence: 99%

Analysis of projected hydrological behavior of catchments based on signature indices

Casper

Grigoryan

Gronz

et al. 2012

Hydrol. Earth Syst. Sci.

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“…This approach has been found especially suitable for the evaluation of high-resolution simulated precipitation fields (Benoit et al, 2000;Jasper and Kaufmann, 2003;Chancibault et al, 2006;Amengual et al, 2008).…”

Section: The Rain and Stream Gauge Networkmentioning

confidence: 99%

Inclusion of potential vorticity uncertainties into a hydrometeorological forecasting chain: application to a medium size basin of Mediterranean Spain

Amengual

Romero

Vich

et al. 2009

Hydrol. Earth Syst. Sci.

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Abstract. The improvement of the short-and mid-range numerical runoff forecasts over the flood-prone Spanish Mediterranean area is a challenging issue. This work analyses four intense precipitation events which produced floods of different magnitude over the Llobregat river basin, a medium size catchment located in Catalonia, north-eastern Spain. One of them was a devasting flash flood -known as the "Montserrat" event -which produced 5 fatalities and material losses estimated at about 65 million euros. The characterization of the Llobregat basin's hydrological response to these floods is first assessed by using rain-gauge data and the Hydrologic Engineering Center's Hydrological Modeling System (HEC-HMS) runoff model. In second place, the non-hydrostatic fifth-generation Pennsylvania State University/NCAR mesoscale model (MM5) is nested within the ECMWF large-scale forecast fields in a set of 54 h period simulations to provide quantitative precipitation forecasts (QPFs) for each hydrometeorological episode. The hydrological model is forced with these QPFs to evaluate the reliability of the resulting discharge forecasts, while an ensemble prediction system (EPS) based on perturbed atmospheric initial and boundary conditions has been designed to test the value of a probabilistic strategy versus the previous deterministic approach. Specifically, a Potential Vorticity (PV) Inversion technique has been used to perturb the MM5 model initial and boundary states (i.e. ECMWF forecast fields). For that purpose, a PV error climatology has been previously derived in order to introduce realistic PV perturbations in the EPS. Results show the benefits of using a probabilistic approach in those cases where the deterministic QPF presents significant deficiencies over the Llobregat river basin in terms of the rainfall amounts, timing and loCorrespondence to: A. Amengual (arnau.amengual@uib.es) calization. These deficiences in precipitation fields have a major impact on flood forecasts. Our ensemble strategy has been found useful to reduce the biases at different hydrometric sections along the watershed. Therefore, in an operational context, the devised methodology could be useful to expand the lead times associated with the prediction of similar future floods, helping to alleviate their possible hazardous consequences.

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“…Some recent work bases new validation methods on the multi-scale properties of precipitation (ZepedaArce et al 2000, or on the structure of the rain pattern, as with the object-oriented method of Ebert & McBride (2000). Other workers base their validation on hydrological responses, linking precipitation estimation and hydrologic prediction (Benoit et al 2000, Westrick & Mass 2001.…”

Section: Introductionmentioning

confidence: 99%