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X - 38LERAT ET AL.: VALUE OF UPSTREAM FLOW MEASUREMENTS0.5tel-00392240, version 1 - 5 Jun 2009REff (UP.Meas / Bench) verif.0.40.30.20.10.00.90.75Med0.250.1−0.1−50% −25% No corrup. +25% +50%Figure 7. Statistics on relative efficiencies REff(UP-Meas/Bench) for downstream simulations(TOTAL) in validation mode. The different distributions correspond to a calibration of theUP-Meas model with corrupted upstream discharges (power transform that modifies the 99 thpercentile of the flow time-series by -50%, -25%, +25% and +50%). The performance with noncorrupted upstream flow data is named “No Corrup.”. Boxplots show the 10 th , 25 th , 50 th , 75 th ,90 th percenti<strong>les</strong> and the mean (cross) of the distribution of the criterion over the 384 subperiods.D R A F T July 24, 2008, 3:43pm D R A F T
LERAT ET AL.: VALUE OF UPSTREAM FLOW MEASUREMENTS X - 392000GR4J − S3.0GR4J − IGF220GR4J − R16001.01801200−1.0140800−3.0100400−5.0600−50% −25% No C. +25% +50%−7.0−50% −25% No C. +25% +50%20−50% −25% No C. +25% +50%tel-00392240, version 1 - 5 Jun 2009GR4J − TBLIN. DIFF. WAVE − Celerity4.02.03.51.63.01.22.50.82.00.41.50.0−50% −25% No C. +25% +50%−50% −25% No C. +25% +50%Figure 8. Distribution of the five parameters (four parameters of the GR4J RR moduleand one celerity parameter for the diffusive wave routing module) of the UP-Meas model aftera calibration using corrupted upstream flow measurements (modification of the 99 th percentileof the upstream flow time series by -50%, -25%, +25% and +50%). The calibration with noncorrupted upstream flow data is named “No C.”. Boxplots show the 10 th , 25 th , 50 th , 75 th , 90 thpercenti<strong>les</strong> and the mean (cross) of the distribution of parameter values over the 384 subperiods.D R A F T July 24, 2008, 3:43pm D R A F T
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Université Pierre et Marie CurieEc
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3Remerciementstel-00392240, version
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Table des matièresIntroduction gé
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TABLE DES MATIÈRES 7tel-00392240,
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TABLE DES MATIÈRES 9FGParamètres
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tel-00392240, version 1 - 5 Jun 200
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Introduction générale 13Contextet
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Introduction générale 15Probléma
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Introduction générale 17Crue de d
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Première partietel-00392240, versi
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Chapitre 1Apports latéraux dans le
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Chapitre 1. Apports latéraux dans
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Chapitre 2Présentation de l’éch
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Chapitre 2. Présentation de l’é
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Chapitre 3Choix des modèles hydrol
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Chapitre 3. Choix des modèles hydr
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Chapitre 4Stratégie de calage et d
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Chapitre 4. Stratégie de calage et
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Deuxième partietel-00392240, versi
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Chapitre 5Jusqu’où est-il néces
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Chapitre 5. Jusqu’où est-il néc
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Chapitre 6Sensibilité d’un modè
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Chapitre 6. Sensibilité d’un mod
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Chapitre 7Simplifications de la str
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Chapitre 7. Simplifications de la s
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tel-00392240, version 1 - 5 Jun 200
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Conclusion générale 177Dans le ca
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Conclusion générale 179Quel est l
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BibliographieAbbott, M. et Refsgaar
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BIBLIOGRAPHIE 183Brutsaert, W. (200
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BIBLIOGRAPHIE 185Jakeman, A. et Hor
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BIBLIOGRAPHIE 187MEEDDAT (2008). Ba
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BIBLIOGRAPHIE 189Oudin, L., Andréa
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BIBLIOGRAPHIE 191Shamseldin, A., O
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tel-00392240, version 1 - 5 Jun 200
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Annexe ATable de correspondance ent
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Annexe A. Table de correspondance e
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Annexe BCaractéristiques et cartes
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Annexe B. Caractéristiques et cart
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Légende des cartes8 kmMaillage SAF
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Annexe CLes débits négatifs dans
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Annexe C. Les débits négatifs dan
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Annexe DApproximation de la courbe
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Annexe D. Approximation de la courb
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Annexe EAlgorithmique et codes C de
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Annexe E. Algorithmique et codes C
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Annexe Ftel-00392240, version 1 - 5
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Annexe F. Paramètres et critères
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Annexe F. Paramètres et critères
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Annexe GParamètres et critères de
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Annexe G. Paramètres et critères
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Annexe G. Paramètres et critères
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Annexe Htel-00392240, version 1 - 5
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Towards robust methods to couple lu
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5forecasting (Smith et al., 2009, t
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tion for a hydraulic model.These tw
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Apart from these few examples, the
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150nel (see Figure 1.d).All the dat
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tributed. Accordingly, the differen
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4.2 Lumped Rainfall-Runoff Model245
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∫ tO(t) = Ψ(t)+0with: Ψ(t) = L[
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model. The main advantage of this p
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that the robustness of the method c
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425no. 2, 7 and 11, see Table 1). O
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performance between low (one tribut
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520circles and squares indicate the
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combination of uniformly distribute
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620Das, T., Bárdossy, A., Zehe, E.
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model for streamflow simulation. J.
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