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Di Wu, Christa Peters-Lidard, Wei-Kuo Tao, and Walter Petersen

of 10 km in all three directions. Thus, it is commonly believed that 1-km grid spacing is sufficient to resolve the basic thunderstorm structure. Cloud resolving models (CRMs) with 1-km horizontal grid spacing are suited to study these systems because they can explicitly resolve the mesoscale and larger convective-scale dynamics. With recent advances in computing power, regional-scale numerical weather prediction starts to use 1–4-km high resolution as well (e.g., Weiss et al. 2008 ; Lean et al

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Phu Nguyen, Andrea Thorstensen, Soroosh Sorooshian, Kuolin Hsu, and Amir AghaKouchak

–hydraulic model from the University of California, Irvine (HiResFlood-UCI; Nguyen et al. 2012 , 2013 ) with near-real-time satellite precipitation data [Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Cloud Classification System (PERSIANN-CCS)] for flood forecasting and inundation mapping in the Cedar River in Iowa. The system was validated for the historical 2008 Iowa flood event using U.S. Department of Agriculture (USDA) flood extent maps derived from the high

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