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, significant data thinning of observations may be necessary. The process of combining multiple observations into one high-accuracy “super” observation (SO) is often referred to as “superobbing.” A data thinning and quality control procedure was developed in Zhang et al. (2009a) to generate SOs for ground-based Doppler radars (e.g., WSR-88Ds), with the observation error for radial velocity assumed to be 3 m s −1 . To avoid averaging of radial velocities (Vr) with significantly different directions, the
, significant data thinning of observations may be necessary. The process of combining multiple observations into one high-accuracy “super” observation (SO) is often referred to as “superobbing.” A data thinning and quality control procedure was developed in Zhang et al. (2009a) to generate SOs for ground-based Doppler radars (e.g., WSR-88Ds), with the observation error for radial velocity assumed to be 3 m s −1 . To avoid averaging of radial velocities (Vr) with significantly different directions, the
