Title: Aplicação De Redes Neurais Na Estimativa De Água Precipitável A Partir De Dados Do Sensor HSB Do Satélite AQUA
Authors: Cintra, Rosângela S.; Silva, José Demísio S. da
Resumo: 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 compared against radiosonde data, where all of the results are in good agreement with rms differences less than 4 mm and biases less than 1 mm. This method can also used to estimate the variability of distribution of water vapor in atmosphere through the on-line update training process. The knowledge of the vertical and horizontal distribution of the water vapor in global scale is applied for applications of numerical prediction, climatic modeling and climate global changes studies.
Keywords: Neural networks; brightness temperature; integrated Water Vapor; satellite data; multilayer percepton; linaer regression
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BibTex file: 50100073.bib