Improving weather radar estimates of rainfall using feed-forward neural networks

Neural Networks

Volumn 20, Issue 4, 2007, Pages 519-527

  Teschl, Reinhard ^a   Randeu, Walter L ^a   Teschl, Franz ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Drop size distribution; Feed forward neural network; Precipitation; Rainfall; Reflectivity factor; Vertical profile of reflectivity; Weather radar; Z R relationship

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; METEOROLOGICAL RADAR; RADAR SYSTEMS; RAIN GAGES; VECTORS;

DROP SIZE DISTRIBUTION; RAIN RATES; REFLECTIVITY FACTORS; VERTICAL PROFILE OF REFLECTIVITY;

RAIN;

RAIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; ASSAY; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL TEMPERATURE; MATHEMATICAL COMPUTING; METEOROLOGY; MODEL; POSITIVE FEEDBACK; PRECIPITATION; PRIORITY JOURNAL; WEATHER;

ENVIRONMENTAL MONITORING; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; RADAR; RAIN; REPRODUCIBILITY OF RESULTS; SATELLITE COMMUNICATIONS; TIME FACTORS; WATER MOVEMENTS;

EID: 34249896171     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2007.04.005     Document Type: Article

References (13)

1. Aliev R., Bonfig K.W., and Aliew F. Soft computing: Eine grundlegende Einführung (2000), Verlag Technik, Berlin
2. Bringi V.N., and Chandrasekar V. Polarimetric Doppler weather radar - Principles and applications (2001), Cambridge University Press, Cambridge, MA
3. Demuth H., and Beale M. Neural network toolbox user's guide - For use with MATLAB, Version 3 (1998), The MathWorks, Inc, Natick, MA
4. Foresee, F. D., & Hagan, M. T. (1997). Gauss-Newton approximation to Bayesian learning: In Proc. of the 1997 international conference on neural networks (Vol. 3), pp. 1930-1935
5. Hagan M.T., and Menhaj M. Training feed-forward networks with the Marquardt algorithm. IEEE Transactions on Neural Networks 5 6 (1994) 989-993
6. Li, W., Chandrasekar, V., & Xu, G. (2003). Investigations in radar rainfall estimation using neural networks. In 2003 Proc. IGARSS
7. Liu H., Chandrasekar V., and Xu G. An adaptive neural network scheme for rainfall estimation from WSR-88D observations. Journal of Applied Meteorology 40 11 (2001) 2038-2050
8. Marshall J.S., and Palmer W.McK. The distribution of raindrops with size. Journal of Meteorology 5 (1948) 165-166
9. Shi J.J. Reducing prediction error by transforming input data for neural networks. Journal of Computing in Civil Engineering 14 2 (2000) 109-116
10. Teschl, R., & Randeu, W. L. (2005). A method to enhance 3D radar rain rate data by interpolating over adjacent grid data. In Proc. WSN05
11. Teschl, R., Randeu, W. L., & Teschl, F. (2005). A neural network based method to adjust weather radar estimates of rainfall to rain gauge measurements using the vertical reflectivity profile. In Proc. 32nd conference on radar meteorology
12. Xiao R., and Chandrasekar V. Development of a neural network based algorithm for rainfall estimation from radar observations. IEEE Transactions on Geoscience and Remote Sensing 35 (1997) 160-171
13. Xu G., and Chandrasekar V. Operational feasibility of neural-network-based radar rainfall estimation. IEEE Geoscience and Remote Sensing Letters 2 1 (2005) 13-17