We show the applicability of genetic algorithms with Chauvenet's criterion to the reconstruction of vertical temperature profiles from RASS (Radio Acoustic Sounding System). RASS is usually an option added to wind profiler to provide profiles of virtual temperature data. Recovered data must be processed in a given period and are accepted only if they belong to a consensus window, whose amplitude is in general 3 m/s and only for those data is it suitable to make an average. An other problem is the unchanging of data with the increase of height. Genetic algorithms and Chauvenet's criterion automatically solve these difficulties.
Genetic Algorithm Applications for RASS-Wind Profiler Data Processing in Remote Sensing / D'Orazio, Antonella; Lay Ekuakille, A.; Petruzzelli, Vincenzo. - (2000), pp. 386-391. [10.1109/IMTC.2000.846891]
Genetic Algorithm Applications for RASS-Wind Profiler Data Processing in Remote Sensing
D'ORAZIO, Antonella;PETRUZZELLI, Vincenzo
2000-01-01
Abstract
We show the applicability of genetic algorithms with Chauvenet's criterion to the reconstruction of vertical temperature profiles from RASS (Radio Acoustic Sounding System). RASS is usually an option added to wind profiler to provide profiles of virtual temperature data. Recovered data must be processed in a given period and are accepted only if they belong to a consensus window, whose amplitude is in general 3 m/s and only for those data is it suitable to make an average. An other problem is the unchanging of data with the increase of height. Genetic algorithms and Chauvenet's criterion automatically solve these difficulties.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
