E.H. Shiguemori, J.D.S. da Silva, H.F. de Campos Velho, J.C. Carvalho (2005): A Multilayer Perceptron Approach for the Retrieval of Vertical Temperature Profiles from Satellite Radiation Data, International Joint Conference on Neural Networks (IJCNN-2005), July 31 - August 4, Montreal, Canada.

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 [1] and [2] 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.

1. J.C. Carvalho, F.M. Ramos, N.J. Ferreira H.F. de Campos Velho (2000): Retrieval of Vertical Temperature Profiles in the Atmosphere, 3rd International Conference on Inverse Problems in Engineering (3ICIPE), Proceedings in CD-ROM, under paper code HT02 (1999) – Proc. Book: pp. 235-238, Port Ludlow, Washington, USA, June 13-18, UEF-ASME.

2. F.M. Ramos, H.F. de Campos Velho, J.C. Carvalho, N.J. Ferreira (1999): Novel Approaches on Entropic Regularization, Inverse Problems, 15(5), 1139-1148.