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

performance of the experiments, we use the reference data from the NCEP Stage IV precipitation, the Soil Climate Analysis Network (SCAN), the Climate Reference Network (CRN), and the second version of the North American Land Data Assimilation System (NLDAS-2). The NCEP Stage IV precipitation dataset, available over the contiguous United States at a spatial resolution of 4 km, is a ground-based, radar-derived product with gauge correction ( Lin and Mitchell 2005 ). Both the SCAN and CRN networks provide

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

precipitating radiances, there were still situations in which the radiances did not impact the forecast for the better. Data assimilation systems are still a long way from successfully fitting most cloud and precipitation feature that is observed in the radiances. These results also indicate that the influence of analysis increments on clouds in model forecast is highly state dependent. In previous studies of assimilating all-sky radiances in the North American midlatitudes ( Zhang et al. 2013 ), it has

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