A simulator of weather radar signals can be exploited as a useful reference for many applications such as weather forecasting and nowcasting models or for training artificial intelligence systems designed to optimize the trajectory of aircrafts with the purpose to reduce flight hazard and fuel consumption. However before being used it must be accurately examined under different operating conditions in order to evaluate the consistency of the outputs produced. In this paper we present a validation procedure for a newly developed polarimetric weather radar simulator POWERS. The goal is to assess the ability of the simulator to deal with any kind of input data be they simulated and real raindrop-size distributions or outputs generated by numerical weather prediction models. Three different approaches are proposed each providing a connection between meteorological inputs and the radar observables simulated by POWERS. The analysis is carried out in the case of rainfall both at S- and X-bands.

A Validation Procedure for a Polarimetric Weather Radar Signal Simulator / Luca, Facheris; Barcaroli, E.; Lupidi, A.; Cuccoli, F.; Chen, H.; Chandra, C.V.. - In: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. - ISSN 0196-2892. - STAMPA. - (2019), pp. 609-622. [10.1109/TGRS.2018.2868144]

A Validation Procedure for a Polarimetric Weather Radar Signal Simulator

Luca, Facheris;
2019

Abstract

A simulator of weather radar signals can be exploited as a useful reference for many applications such as weather forecasting and nowcasting models or for training artificial intelligence systems designed to optimize the trajectory of aircrafts with the purpose to reduce flight hazard and fuel consumption. However before being used it must be accurately examined under different operating conditions in order to evaluate the consistency of the outputs produced. In this paper we present a validation procedure for a newly developed polarimetric weather radar simulator POWERS. The goal is to assess the ability of the simulator to deal with any kind of input data be they simulated and real raindrop-size distributions or outputs generated by numerical weather prediction models. Three different approaches are proposed each providing a connection between meteorological inputs and the radar observables simulated by POWERS. The analysis is carried out in the case of rainfall both at S- and X-bands.
2019
609
622
Luca, Facheris; Barcaroli, E.; Lupidi, A.; Cuccoli, F.; Chen, H.; Chandra, C.V.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1137619
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