10.2190/9VHU-BXA4-WK48-T3DY 9VHUBXA4WK48T3DY 151 ASSESSMENT OF NEURAL NETWORK SCHEMES TO CLASSIFY CLOUD DATA 151 172 20030625 20030625 20030625 20030625 9VHUBXA4WK48T3DY.pdf http://baywood.metapress.com/link.asp?target=contribution&id=9VHUBXA4WK48T3DY 2 FAISAL HOSSAIN TUFA DINKU NEERAJ AGARWAL EMMANOUIL N. ANAGNOSTOU The University of Connecticut Using remotely-sensed data from the Tropical Rainfall Measuring Mission (TRMM), a cloud classification study was undertaken employing neural network schemes. The objective of this study was to assess the accuracy of each scheme for classifying clouds. In the first phase, a data preprocessing and feature selection scheme was undertaken to identify a suitable set of features that could be useful in cloud classification. In the next phase, seven neural network classification schemes were implemented to understand the utility of each of these schemes. Parametric schemes performed poorly, while the perceptron, K-nearest neighbor approaches and the least means square algorithm yielded promising results. Further study is proposed so as to improve rainfall prediction. A. P. Russo, Neural Networks for Sonar Signal Processing, Tutorial No. 8, IEEE Conference on Neural Networks for Ocean Engineering, Washington, D.C., 1991. E. M. Anagnostou and C. Kummerow, Stratiform and Convective Classification of Rainfall Usage SSM/I 85-GHz Brightness Temperature Observations, Journal of Atmospheric Oceanic Technology, 14, pp. 570-575, 1997. R. L. Bankert, Cloud Classification of AVHRR Imagery in Maritime Regions Using a Probabilistic Neural Network, Journal of Applied Meteorology, 33, pp. 909-918, 1994. S. Haykin, Neural Networks, Prentice Hall, New York, 1999. C. M. Bishop, Neural Networks for Pattern Recognition, Oxford. D. Rosenfield, E. Amitai, and D. B. Wolff, Classification of Rain Regimes by the Three-Dimensional Properties of Reflectivity Fields, Journal of Applied Meteorology, 32, pp. 17-39, 1995. S. E. Yuter and R. A. Houze, Jr., Three-Dimensional Kinematic and Microphysical Evolution of Florida Cumunimbus, Part II: Frequency Distribution of Vertical Velocity, Reflectivity and Differential Reflectivity, Monthly Weather Review, 123, pp. 1941-1963, 1995. W. B. Rossow and R. A. Schiffer, ISCCP Cloud Data Products, Bulletin of the American Meteorology Society, 72, pp. 2-20, 1991. F. Aviolat, T. Cornu, and D. Cattani, Automatic Cloud Observation Improved by Artificial Neural Network, Journal of Atmospheric Oceanic Technology, 15, pp. 114-126, 1998. C. R. Williams and W. L. Ecklund, Classification of Precipitation Clouds in the Tropics Using 915-MHz Wind Profilers, Journal of Atmospheric Oceanic Technology, 12, pp. 996-1012, 1995. V. Ramanathan, The Greenhouse Theory of Climate Change: A Test by an Inadvertent Global Experiment, Science, 250, pp. 293-299, 1988. G. W. Petty, On the Response of the Special Sensor Microwave/Imager to Marine Environment--Implications for atmospheric Parameter Retrievals, Ph.D. dissertation, University of Washington, 291 pp., 1990. G. Liu, J. A. Curry, and R.-S. Sheu, Cloud Classification of Clouds Over the Western Equatorial Pacific Ocean Using Combined Infrared and Microwave Satellite, Journal of Geophysican Research, 100, pp. 13811-13826, 1995. R. M. Welch, S. K. Sengupta, A. K. Goroch, P. Rabindra, N. Rangaraj, and M. S. Navar, Polar Cloud and Surface Classification Using AVHRR Imagery: An Interpolation of Methods, Journal of Applied Meteorology, 31, pp. 405-420, 1992. J. Lee, R. C. Weger, S. K. Sengupta, and R. M. Welch, A Neural Network Approach to Cloud Classification, IEEE Transcripts Geoscience and Remote Sensing, 28:5, pp. 846-855, 1990. C. Kummerow, W. Barnes, T. Kozu, J. Shiue, and J. Simpson, The Tropical Rainfall Measuring Mission (TRMM) Sensor Package, Journal of Atmospheric Oceanic Technology, 15, pp. 809-817, 1998. B. Nicolin and Gabler, A Knowledge-Based System for the Analysis of Aerial Images, IEEE Transcripts Geoscience and Remote Sensing, GE-25:3, pp. 317-328, 1987. N. D. Ritter, T. L. Logan, and N. A. Bryant, Integration of Neural Network Technologies with Geographic Information Systems, GIS Symposium Integrating Technology and Geoscience Applications, Denver, Colorado, pp. 102-103, December 1988.