Big Data Assimilation

15-5 January 24 15:15-15:30

On the improvement of the Phased Array Weather Radar data

T. Ushio (Tokyo Metropolitan University), H. Kikuchi (Tokyo Metropolitan University), T. Mega (Tokyo Metropolitan University)

Abstract

Recent progress of information and communication technologies has been enabling us to realize a rapid scanning radar system. In 2012, Toshiba Corporation and Osaka University succeeded in developing a new type of Phased Array Radar (PAR) system under a grant of National Institute of Communication and Information Technology (NICT), and installed in Suita Campus, Osaka University. This PAR system can scan the whole sky within 30 seconds up to 60 km in radius over 100 elevation angles with digital beam forming technique, and the initial observation results demonstrate the unique capability of the new PAR system. However, the observation is sometimes seriously contaminated by strong ground clutter through relatively high sidelobes at transmitting stage, which sometimes degrades the performance of the data assimilation. In this study, a new clutter mitigation algorithm from adaptive beam forming technique on Minimum Mean Square Error (MMSE) formulation was investigated, and succeeded in suppressing not only the ground clutter but also ghost echo from strong precipitation echo nearby more than 20dB. And also the adaptive algorithm was applied to supress the range sidelobe and showed the sidelobe level of -60dB.

Contact information

Prof. Tomoo Ushio Tokyo Metropolitan University