The Advanced Polarimetric Doppler Weather Radar Simulator (APDWRS) capable of generating I&Q time series voltages for a ground based fully-polarimetric Doppler weather radar is described in this paper. The Weather Research and Forecast (WRF) model is used in conjunction with the T-Matrix code to generate radar signals according to the propagation-modified covariance matrix. Mixtures of rain, hail, graupel and snow hydrometeors relative to a realistic weather phenomenon are considered. The polarimetric and Doppler observables estimated from the simulated radar signals showed a good agreement with those found in previous observations.

Advanced Polarimetric Doppler Weather Radar Simulator / Stefano Lischi; Alberto Lupidi; Fabrizio Cuccoli; Luca Baldini; Marco Martorella; Luca Facheris. - ELETTRONICO. - (2014), pp. 1-6. (Intervento presentato al convegno Radar Symposium (IRS), 2014 15th International, Gdansk, Poland tenutosi a Gdansk, Poland nel 16-6-2014) [10.1109/IRS.2014.6869252].

Advanced Polarimetric Doppler Weather Radar Simulator

CUCCOLI, FABRIZIO;FACHERIS, LUCA
2014

Abstract

The Advanced Polarimetric Doppler Weather Radar Simulator (APDWRS) capable of generating I&Q time series voltages for a ground based fully-polarimetric Doppler weather radar is described in this paper. The Weather Research and Forecast (WRF) model is used in conjunction with the T-Matrix code to generate radar signals according to the propagation-modified covariance matrix. Mixtures of rain, hail, graupel and snow hydrometeors relative to a realistic weather phenomenon are considered. The polarimetric and Doppler observables estimated from the simulated radar signals showed a good agreement with those found in previous observations.
2014
Radar Symposium (IRS), 2014 15th International
Radar Symposium (IRS), 2014 15th International, Gdansk, Poland
Gdansk, Poland
16-6-2014
Stefano Lischi; Alberto Lupidi; Fabrizio Cuccoli; Luca Baldini; Marco Martorella; Luca Facheris
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/992616
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