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Sara Q. Zhang, T. Matsui, S. Cheung, M. Zupanski, and C. Peters-Lidard

modeling system that represents cloud, precipitation, aerosol, and land process ( Peters-Lidard et al. 2015 ). It is based on the Advanced Research WRF ( Skamarock et al. 2008 ) with additional coupling to advanced Goddard physics packages, satellite simulators, and high-resolution satellite/reanalysis data to initialize boundary conditions. In this work the NU-WRF model simulations are carried out at storm scale with lateral boundary forcing from the Modern-Era Retrospective Analysis for Research and

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Liao-Fan Lin, Ardeshir M. Ebtehaj, Alejandro N. Flores, Satish Bastola, and Rafael L. Bras

. 2012 , 2014 ; S. V. Kumar et al. 2014 ; Zhao et al. 2016 ). The family of soil moisture data assimilation methods uses prescribed atmospheric forcing (e.g., precipitation and downward radiation) and updates only selected land surface states, which often include soil moisture and temperature profiles. More recently, Rasmy et al. (2011 , 2012) developed a WRF-based system that is capable of updating the state of soil moisture, cloud liquid water, water vapor, rain, and snow through the

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