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.
|Titolo:||Genetic Algorithm Applications for RASS-Wind Profiler Data Processing in Remote Sensing|
|Titolo del libro:||Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference, IMTC 2000. Vol. 1|
|Data di pubblicazione:||2000|
|Digital Object Identifier (DOI):||10.1109/IMTC.2000.846891|
|Appare nelle tipologie:||2.1 Contributo in volume (Capitolo o Saggio)|