Table of Contents
International Journal of Atmospheric Sciences
Volume 2014, Article ID 763060, 8 pages
http://dx.doi.org/10.1155/2014/763060
Research Article

Neural Network Based Retrieval of Atmospheric Temperature Profile Using AMSU-A Observations

1Geo-Physical Parameter Retrievals Division, Atmospheric and Oceanic Sciences Group (EPSA), Space Applications Centre (ISRO), Ahmedabad, Gujarat 380015, India
2Brahmprakash Scientist, Space Applications Centre (ISRO), Ahmedabad, Gujarat 380015, India

Received 18 July 2014; Revised 30 September 2014; Accepted 13 October 2014; Published 5 November 2014

Academic Editor: Helena A. Flocas

Copyright © 2014 R. K. Gangwar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. T. Mo, “Prelaunch calibration of the advanced microwave sounding unit—a for NOAA-K,” IEEE Transactions on Microwave Theory and Techniques, vol. 44, no. 8, pp. 1460–1469, 1996. View at Publisher · View at Google Scholar · View at Scopus
  2. T. Mo, “AMSU-a antenna pattern corrections,” IEEE Transactions on Geoscience and Remote Sensing, vol. 37, no. 1, pp. 103–112, 1999. View at Publisher · View at Google Scholar · View at Scopus
  3. G. Goodrum, K. B. Kidwell, and W. Winston, NOAA KLM User’s Guide, National Oceanic and Atmospheric Administration, 1999.
  4. L. Shi, “Retrieval of atmospheric temperature profiles from AMSU-A measurement using a neural network approach,” Journal of Atmospheric and Oceanic Technology, vol. 18, no. 3, pp. 340–347, 2001. View at Publisher · View at Google Scholar · View at Scopus
  5. P. W. Rosenkranz, “Retrieval of temperature and moisture profiles from AMSU-A and AMSU-B measurements,” IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 11, pp. 2429–2435, 2001. View at Publisher · View at Google Scholar · View at Scopus
  6. S.-A. Boukabara, K. Garrett, W. Chen et al., “MiRS: an all-weather 1DVAR satellite data assimilation and retrieval system,” IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 9, pp. 3249–3272, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. Z. Yao, H. Chen, and L. Lin, “Retrieving atmospheric temperature profiles from AMSU-A data with neural networks,” Advances in Atmospheric Sciences, vol. 22, no. 4, pp. 606–616, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. F. Aires, A. Chédin, N. A. Scott, and W. B. Rossow, “A regularized neural net approach for retrieval of atmospheric and surface temperatures with the IASI instrument,” Journal of Applied Meteorology, vol. 41, no. 2, pp. 144–159, 2002. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Cheng, Q. Xiao, X. Li, Q. Liu, Y. Du, and A. Nie, “Multi-layer perceptron neural network based algorithm for simultaneous retrieving temperature and emissivity from hyperspectral FTIR dataset,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS '07), pp. 4383–4385, June 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. W. J. Blackwell, “Neural network Jacobian analysis for high-resolution profiling of the atmosphere,” Eurasip Journal on Advances in Signal Processing, vol. 2012, no. 1, article 71, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Z. Tao, W. J. Blackwell, and D. H. Staelin, “Error variance estimation for individual geophysical parameter retrievals,” IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 3, pp. 1718–1727, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. E. Kalnay, M. Kanamitsu, R. Kistler et al., “The NCEP/NCAR 40-year reanalysis project,” Bulletin of the American Meteorological Society, vol. 77, no. 3, pp. 437–471, 1996. View at Publisher · View at Google Scholar · View at Scopus
  13. G. L. Martin and J. A. Pittman, “Recognizing hand-printed letters and digits using backpropagation learning,” Neural Computation, vol. 3, no. 2, pp. 258–267, 1991. View at Google Scholar
  14. M. A. Al-Alaoui, L. Al-Kanj, J. Azar, and E. Yaacoub, “Speech recognition using artificial neural networks and hidden Markov models,” IEEE Multidisciplinary Engineering Education Magazine, vol. 3, no. 3, pp. 77–86, 2008. View at Google Scholar
  15. G. K. Venayagamoorthy, V. Moonasar, and K. Sandrasegaran, Voice Recognition Using Neural Networks, IEEE, 1998.
  16. J. E. Dayhoff, Neural Network Architectures—An Introduction, Van Nostrand Reinhold, 1990.
  17. J. Hertz, A. Krogh, and R. G. Palmer, Introduction to the Theory of Neural Computation, Addison-Wesley, 1991. View at MathSciNet
  18. A. Cichocki and R. Unbehauen, Neural Networks for Optimization and Signal Processing, John Wiley & Sons, 1993.
  19. Y. Chauvin and D. E. Rumelhart, Backpropagation: Theory, Architectures, and Applications, Lawrence Erlbaum Associates, 1995.
  20. R. Rojas, Neural Networks—A Systematic Introduction, Springer, 1996.