Assimilation of Simulated Doppler Radar Observations with an Ensemble Kalman Filter

Abstract

Assimilation of Doppler radar data into cloud models is an important obstacle to routine numerical weather prediction for convective-scale motions; the difficulty lies in initializing fields of wind, temperature, moisture, and condensate given only observations of radial velocity and reflectivity from the radar. This paper investigates the potential of the… (More)

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