Title :
A multilayer perceptron approach for the retrieval of vertical temperature profiles from satellite radiation data
Author :
Shiguemori, Elcio H. ; da Silva, José Demisio S ; Velho, Haroldo F de Campos ; Carvalho, J.C.
Author_Institution :
Lab. for Comput. & Appl. Math., Nat. Inst. for Space Res., Sao Jose dos Campos, Brazil
fDate :
31 July-4 Aug. 2005
Abstract :
In this paper a multilayer perceptron neural network is used to retrieve vertical atmospheric temperature profiles from satellite radiation data. The training set consists of data provided by the direct model characterized by the radiative transfer equation (RTE) and by real radiation data from the NOAA-HIRS/2 (high resolution infrared radiation) sounder. The retrieved vertical temperature profiles are compared to radiosonde measured data. The neural network performance is compared to the results of the projects by J.C. Carvalho et al (1999) and by F.M. Ramos et al (1999) who used regularization techniques. Neural network approaches are especially advantageous due to the embed parallelism that may imply in faster vertical temperature profiles retrieving systems.
Keywords :
atmospheric techniques; atmospheric temperature; data acquisition; geophysics computing; multilayer perceptrons; radiative transfer; temperature measurement; high resolution infrared radiation sounder; multilayer perceptron; neural network; radiative transfer equation; satellite radiation data; vertical atmospheric temperature profile retrieval; Artificial neural networks; Atmospheric measurements; Atmospheric modeling; Equations; Information retrieval; Meteorology; Multilayer perceptrons; Neural networks; Satellite broadcasting; Temperature;
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN :
0-7803-9048-2
DOI :
10.1109/IJCNN.2005.1556349
