A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Aplicação De Redes Neurais Na Estimativa De Água Precipitável A Partir De Dados Do Sensor HSB Do Satélite AQUA
2016
Anais do 8. Congresso Brasileiro de Redes Neurais
unpublished
Abstract This paper presents the capabiliity of HSB (Humidy Sensor Brazil) channels data from AQUA satellite,on retrieving the Integrated Water Vapor (IWV) of atmosphere, using Artificial Neural Network(ANN) with simulations of the brightness temperatures from RTTOV-7 radiative model. The results shows ANN as a new method to estimate IWV, with supervised training of observations data from the "RACCI/LBA" experiment in Rondônia, during period of September and October 2002. The Total IWV is also
doi:10.21528/cbrn2007-073
fatcat:zujgsky4dna7xo5sho4kza4kpy