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

precipitation intensity and modulates the propagation of cloud precipitation systems associated with AEJ. Using an ensemble-based assimilation technique that allows state-dependent forecast error covariance among dynamical and microphysical variables, the assimilation of radiances over the WAM rainband provides better hydrometeor distributions for storm initiation with characteristics of continental tropical convection, although fundamental model biases associated with insufficient model resolution remains

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

remains largely unknown. To this end, this paper develops a framework that allows simultaneous assimilation of satellite soil moisture and precipitation data into a coupled land–atmosphere model. Direct assimilation of precipitation has received a lot of attention in the past years. The most common technique used for assimilation of accumulated precipitation is the four-dimensional variational data assimilation (4D-Var). Examples of global weather prediction systems capable of precipitation data

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