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Zhiyong Meng and Fuqing Zhang

harder to define because of the complicated multiscale interactions. A successive covariance localization (SCL) technique was proposed by Zhang et al. (2009a) to assimilate dense radar observations that contain information about the state of the atmosphere at a wide range of scales. SCL assumes that both large- and small-scale errors are simultaneously present and was designed to reduce computational cost and sampling errors. This technique uses the Gaspari and Cohn (1999) fifth-order correlation

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