A new automatic calibration approach based on rating curves: first results with ENVISAT altimetric data

ISI Document Delivery No.: BYC88 Times Cited: 1 Cited Reference Count: 10 Cited References: Collischonn W, 2007, HYDROLOG SCI J, V52, P878, DOI 10.1623/hysj.52.5.878 Frappart F, 2006, REMOTE SENS ENVIRON, V100, P252, DOI 10.1016/j.rse.2005.10.027 Getirana ACV, 2010, J HYDROL, V387, P244, DOI 10.1016/j.jhydrol.2010.04.013 Getirana ACV, 2009, HYDROL PROCESS, V23, P502, DOI 10.1002/hyp.7167 Getirana ACV, 2010, HYDROL PROCESS, V24, P3219, DOI 10.1002/hyp.7747 Jaccon G., 1989, Curva-chave: analise e tratado Martinez JM, 2007, REMOTE SENS ENVIRON, V108, P209, DOI 10.1016/j.rse.2006.11.012 Pareto V., 1971, MANUAL POLITICAL EC Roux E, 2010, HYDROLOG SCI J, V55, P104, DOI 10.1080/02626660903529023 Yapo PO, 1998, J HYDROL, V204, P83, DOI 10.1016/S0022-1694(97)00107-8 Getirana, Augusto C. V. Proceedings Paper 25th General Assembly of the International Union of Geodesy and Geophysics JUN 28-JUL 07, 2011 Melbourne, AUSTRALIA Int Commiss Water Resources Systems, Int Commiss Surface Water, Int Commiss Water Qual, Int Assoc Hydrol Sci, UNESCO-IHP Getirana, Augusto/G-4630-2011 INST OF HYDROLOGY, WALLINGFORD OX10 8BB, ENGLANDThis study presents preliminary results obtained with a new procedure for the automatic calibration of hydrological models based exclusively on spatial altimetry data. The technique is based on the minimization of biases between discharges computed by the hydrological model and by stage versus discharge relationships (h x Q model) derived from the combination of spatial altimetry data and modelled discharges at virtual stations. The study area is the Branco River basin, located in the northern Amazon basin. Spatial altimetry data provided by the ENVISAT satellite at our virtual stations are used in the optimization process for the 2002-2006 periods. For altimetry-based cases, the Nash-Sutcliffe (NS) coefficient varied from 0.66 to 0.94, the NS for the logarithms of streamflows from 0.61 to 0.95 and the relative error (RE) from 0.18 to 0.73. The best values for discharge-based cases were 0.94, 0.96 and 0.16, respectively. The results show that the new altimetry-based optimization approach can provide improved solutions and reliably reproduce discharges time series. It also gives results similar to those provided by discharge-based optimization approaches, with competitive computational costs