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Towards Improving River Discharge Estimation in Ungauged Basins: Calibration of Rainfall-runoff Models Based on Satellite Observations of River Flow Width at Basin Outlet : Volume 14, Issue 10 (22/10/2010)

By Sun, W. C.

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Book Id: WPLBN0003984304
Format Type: PDF Article :
File Size: Pages 12
Reproduction Date: 2015

Title: Towards Improving River Discharge Estimation in Ungauged Basins: Calibration of Rainfall-runoff Models Based on Satellite Observations of River Flow Width at Basin Outlet : Volume 14, Issue 10 (22/10/2010)  
Author: Sun, W. C.
Volume: Vol. 14, Issue 10
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Ishidaira, H., Bastola, S., & Sun, W. C. (2010). Towards Improving River Discharge Estimation in Ungauged Basins: Calibration of Rainfall-runoff Models Based on Satellite Observations of River Flow Width at Basin Outlet : Volume 14, Issue 10 (22/10/2010). Retrieved from

Description: Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Kofu, Japan. Rainfall-runoff models are common tools for river discharge estimation in the field of hydrology. In ungauged basins, the dependence on observed river discharge data for calibration restricts applications of rainfall-runoff models. The strong correlation between quantities of river cross-sectional water surface width obtained from remote sensing and corresponding in situ gauged river discharge has been verified by many researchers. In this study, a calibration scheme of rainfall-runoff models based on satellite observations of river width at basin outlet is illustrated. One distinct advantage is that this calibration is independent of river discharge information. The at-a-station hydraulic geometry is implemented to facilitate shifting the calibration objective from river discharge to river width. The generalized likelihood uncertainty estimation (GLUE) is applied to model calibration and uncertainty analysis. The calibration scheme is demonstrated through a case study for simulating river discharge at Pakse in the Mekong Basin. The effectiveness of the calibration scheme and uncertainties associated with utilization of river width observations from space are examined from model input-state-output behaviour, capability of reproducing river discharge and posterior parameter distribution. The results indicate that the satellite observation of the river width is a competent surrogate of observed discharge for the calibration of rainfall-runoff model at Pakse and the proposed method has the potential for improving reliability of river discharge estimation in basins without any discharge gauging.

Towards improving river discharge estimation in ungauged basins: calibration of rainfall-runoff models based on satellite observations of river flow width at basin outlet

Ahn, C.-H. and Tateishi R.: Development of a global 30-minute grid potential evapotranspiration data set, Journal of the Japan Society of Photogrammetry and Remote Sensing, 33(2), 12–21, 1994.; Alsdorf, D. E., Rodríguez, E., and Lettenmaier, D. P.: Measuring surface water from space, Rev. Geophys., 45, RG2002, doi:10.1029/2006RG000197, 2007.; Bastola, S., Ishidaira, H., and Takeuchi, K.: Regionalisation of hydrological model parameters under parameter uncertainty: A case study involving TOPMODEL and basins across the globe, J. Hydrol., 357(3–4), 188–206, 2008.; Beven, K. and Binley, A.: The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process., 6(3), 279–298, 1992.; Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320(1–2), 18–36, 2006.; Birkett, C. M.: Contribution of the TOPEX NASA radar altimetry to the global monitoring of large rivers and wetlands, Water Resour. Res., 34(5), 1223–1239, 1998.; Bjerklie, D. M., Moller, D., Smith, L. C., and Dingman, S. L.: Estimating discharge in rivers using remotely sensed hydraulic information, J. Hydrol., 309, 191–209, 2005.; Bjerklie, D. M.: Estimating the bankfull velocity and discharge for rivers using remotely sensed river morphology information, J. Hydrol., 341, 144–155, 2007.; Blasone, R.-S., Madsen, H., and Rosbjerg, D.: Uncertainty assessment of integrated distributed hydrological models using GLUE with Markov chain Monte Carlo sampling, J. Hydrol., 353, 18–32, 2008.; Boyle, D. P.: Multicriteria calibration of hydrological models, Ph.D. Thesis, University of Arizona, USA, 2000.; Coe, M. T. and Birkett, C. M.: Calculation of river discharge and prediction of lake height from satellite radar altimetry: Example for Lake Chad basin, Water Resour. Res. 40(10), W102051, doi: 10.1029/2003WR002543, 2004.; Dingman, S.L.: Analytical derivation of at-a-station hydraulic geometry relations, J. Hydrol., 344, 17–27, 2007.; Ferguson, R. I.: Hydraulics and hydraulic geometry, Prog. Phys. Geogr., 10, 1–31, 1986.; Freer, J., Beven, K., and Ambroise, B.: Bayesian estimation of uncertainty in runoff prediction and the value of data : an application of the GLUE approach, Water Resour. Res., 32(Eq. (7)), 2061–2173, 1996.; Gupta, H. V., Beven, K., and Wagener, T.: Model calibration and uncertainty analysis, in: Encyclopedia of Hydrological Sciences, edited by: Anderson, M. G., John Wiley {&}Sons, Ltd., USA, 2015–2032, 2005.; Jet Propulsion Laboratory: Surface Water and Ocean Topography Mission Science Requirements Document (Initial Release), California Institute of Technology, USA,, 2009.; Jia, Y. and Culver, T. B.: Uncertainty analysis for watershed modelling using generalized likelihood uncertainty estimation with multiple calibration measures, J. Water Resour. Plan. Manage.-ASCE, 134(Eq. (2)), 97–106, 2008.; Kouraev, A. V., Zakharova, E. A., Samain, O., Mognard, N. M., and Cazenave, A.: Ob's river discharge from TOPEX/Poseidon satellite altimetry (1992–2002), Remote Sens. Environ., 93, 238–245, 2004.; Latrubesse, E. M.: Patterns of anabranching channels: The ultimate end-member adjustment of mega rivers, Geomorphology, 101(1–2), 130–145, 2008.; Leopold, L. B. and Maddock Jr., T.: The hydraulic geometry of stream channels and some physiographic implications, U.S. Geological Survey Professional Paper 252, U.S. Government Printing Office, 1953.; Montanari, A: Large sample behaviours of the generalized likelihood uncertainty estimation (GLUE) in assessing the uncertainty of rainfall-runoff simulations, Water Resour. Res., 41(8), doi:10.1029/2004WR003826, 2005.; Montanari, M., Hostache, R., Matgen, P., Schumann, G., Pfister, L., and Hoffmann, L.: Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages, Hydrol. Earth Syst. Sci., 13, 367–380, doi:10.5194/hess-13-367-2009, 2009.; Moore, R. J.: The


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