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Brandon L. Parkes, Hannah L. Cloke, Florian Pappenberger, Jeff Neal, and David Demeritt

; Dung et al. 2011 ; Horritt et al. 2001 ; Hunter et al. 2006 ; Mason et al. 2009 ; Matgen et al. 2010 ), and sophisticated algorithms have been developed to extract the water outline automatically ( Mason et al. 2009 ; Schumann et al. 2007a ). In spite of complications such as double-bounce reflections from buildings, the high-resolution SAR images from recently launched satellites such as TerraSAR-X are approaching the accuracy of aerial photos even in inundated urban areas ( Schumann et al

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Jinyang Du and Qiang Liu

from 135 m on 10 June 2003 to 156 m on 27 October 2006 and the second stage of impoundment from June 2006 to 2010 with the final water level of 175 m on 26 October 2010. Therefore, the standard NASA AMSR-E L3 soil moisture products from 2003 to 2011 are used in this study. The spatial resolution of the products is 25 km. The NASA algorithm uses normalized polarization ratios (PRs) of the AMSR-E channel brightness temperatures to account for the vegetation and roughness effects and to retrieve soil

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Alfred J. Kalyanapu, A. K. M. Azad Hossain, Jinwoo Kim, Wondmagegn Yigzaw, Faisal Hossain, and C. K. Shum

station reduced to 45% of the peak discharge. The satellite imageries were processed by applying the iterative self-organizing data analysis technique (ISODATA) clustering algorithm ( Jensen 2007 ; Lillesand and Kiefer 2000 ) and density slicing technique ( Campbell 2002 ; Hossain et al. 2009 ) and by classifying areas as water and nonwater to separate the areas occupied by different water bodies in the study site. The ISODATA clustering algorithm was applied on the optical imagery ( Landsat-5 TM

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Mohammad Karamouz, Erfan Goharian, and Sara Nazif

. Yin , and D. Li , 2002 : A macro-scale and semi-distributed monthly water balance model to predict climate change impacts in China . J. Hydrol. , 268 ( 1–4 ), 1 – 15 . Goharian , E. , 2012 : Development of a dynamics algorithm for assessment of urban water supply system readiness (in Farsi). M.S. thesis, University of Tehran Department of Civil and Environmental Engineering, 155 pp. Gosain , A. K. , S. Rao , and A. Arora , 2011 : Climate change impact assessment of water

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M. Sekhar, M. Shindekar, Sat K. Tomer, and P. Goswami

. Model. Softw. , 21 , 991 – 1000 . van der Gun , J. , 2012 : Groundwater. UN World Water Development Rep. 4, Vol. 2. 758–778. Wilks , D. S. , 1992 : Adapting stochastic weather generation algorithms for climate change studies . Climatic Change , 22 , 67 – 84 . Wolf , L. , B. Morris , and S. Burn , Eds., 2006 : Urban water resources toolbox: Integrating groundwater into urban water management. IWA, 297 pp. Xu , Y. , and G. J. van Tonder , 2001 : Estimation of recharge using

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