Title :
Genetic algorithm application for RASS-wind profiler data processing in remote sensing
Author :
D´Orazio, A. ; Ekuakille, A. Lay ; Petruzzelli, V.
Author_Institution :
Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
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
Keywords :
atmospheric temperature; genetic algorithms; geophysical signal processing; meteorological radar; remote sensing by radar; weather forecasting; wind; Chauvenet´s criterion; consensus window; data processing; genetic algorithms; meteorological radar; radio acoustic sounding system; remote sensing; vertical temperature profiles; virtual temperature data; weather forecasting; wind profiler; Acoustic emission; Acoustic measurements; Acoustic waves; Atmosphere; Data processing; Genetic algorithms; Instruments; Remote sensing; Signal to noise ratio; Temperature measurement;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-5890-2
DOI :
10.1109/IMTC.2000.846891
