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Reseach Article

A Survey on Rainfall Prediction using Artificial Neural Network

by Deepak Ranjan Nayak, Amitav Mahapatra, Pranati Mishra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 16
Year of Publication: 2013
Authors: Deepak Ranjan Nayak, Amitav Mahapatra, Pranati Mishra
10.5120/12580-9217

Deepak Ranjan Nayak, Amitav Mahapatra, Pranati Mishra . A Survey on Rainfall Prediction using Artificial Neural Network. International Journal of Computer Applications. 72, 16 ( June 2013), 32-40. DOI=10.5120/12580-9217

@article{ 10.5120/12580-9217,
author = { Deepak Ranjan Nayak, Amitav Mahapatra, Pranati Mishra },
title = { A Survey on Rainfall Prediction using Artificial Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 16 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 32-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number16/12580-9217/ },
doi = { 10.5120/12580-9217 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:38:06.973715+05:30
%A Deepak Ranjan Nayak
%A Amitav Mahapatra
%A Pranati Mishra
%T A Survey on Rainfall Prediction using Artificial Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 16
%P 32-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Rainfall prediction is one of the most important and challenging task in the modern world. In general, climate and rainfall are highly non-linear and complicated phenomena, which require advanced computer modeling and simulation for their accurate prediction. An Artificial Neural Network (ANN) can be used to predict the behavior of such nonlinear systems. ANN has been successfully used by most of the researchers in this field for the last twenty-five years. This paper provides a survey of available literature of some methodologies employed by different researchers to utilize ANN for rainfall prediction. The survey also reports that rainfall prediction using ANN technique is more suitable than traditional statistical and numerical methods.

References
  1. S. Haykin, 1999: Neural Networks- A Comprehensive Foundation. Addison Wesley Longman.
  2. D. Rumelhart, G. Hinton and R. Williams, (1986) Learning representations by back propagating errors, Nature, 323, 533-536.
  3. M. J. D. Powell, (1987) Radial basis functions for multivariable interpolation: a review. In J. C. Mason, and M. G. Cox (Eds. ), Algorithms for Approximation, pp. 143-167. Oxford: Clarendon Press.
  4. J Park, and I Sandberg, (1991) Universal approximation using radial basis function networks. Neural Computation, 3 (2), 246-257.
  5. T. Kohonen, (1990), The self organizing map. Proceedings of IEEE, 78(9), 1464-1478.
  6. W. Patterson Dan, (1996), Artificial Neural Networks: Theory and Applications, Prentice Hall.
  7. G. E. P. Box & G. M. Jenkins, 1970. Time Series Analysis, Forecasting and Control, Holden-Day, CA, San Francisco.
  8. M. J. C. , Hu, Application of ADALINE system to weather forecasting,Technical Report, Stanford Electron, 1964.
  9. D. F. Cook and M. L. Wolfe, "A back-propagation neural network to predict average air temperatures", AI Applications, 5, 40-46, 1991.
  10. D. W. McCann, "A Neural Network Short-Term Forecast of Significant Thunderstorms", Weather and Forecasting, 7, 525-534, doi: 10. 1175/1520-0434, 1992.
  11. M. N. French, W. F. Krajewski, and R. R. Cuykendall: Rainfall forecasting in space and time using neural network, J. Hydrol. , 137, 1–31, 1992.
  12. Tao Chen, M Takagi, "Rainfall prediction of geostationary meteorological satellite images using artificial neural network", IGARSS, 1993, vol. 3, 1247 – 1249.
  13. M. Zhang, and A. R. Scofield, "Artificial Neural Network techniques for estimating rainfall and recognizing cloud merger from satellite data", International Journal of Remote Sensing, 16,3241-3262, 1994.
  14. S. C. Michaelides, C. C. Neocleous & C. N. Schizas, "Artificial neural networks and multiple linear regressions in estimating missing rainfall data. " In: Proceedings of the DSP95 International Conference on Digital Signal Processing, Limassol, Cyprus. pp 668–673, 1995.
  15. S. A. Kalogirou, C. Neocleous, C. N. Constantinos, S. C. Michaelides & C. N. Schizas, A time series reconstruction of precipitation records using artificial neural networks. In: Proceedings of EUFIT '97 Conference, 8–11 September, Aachen, Germany. pp 2409–2413, 1997.
  16. C. Venkatesan, S. D. Raskar, S. S. Tambe, B. D. Kulkarni, R. N. Keshavamurty, 1997, Prediction of all India summer monsoon rainfall using error-back-propagation neural networks. Meteorol. Atmos. Phys. 62 (3–4), 225–240.
  17. S. Lee, S. Cho & P. M. Wong,"Rainfall prediction using artificial neural network", J. Geog. Inf. Decision Anal, 2, 233–242, 1998.
  18. K. Koizumi: "An objective method to modify numerical model forecasts with newly given weather data using an artificial neural network", Weather Forecast. , 14, 109–118, 1999.
  19. E. Toth, A. Brath, A. Montanari," Comparison of short-term rainfall prediction models for real time flood forecasting", Journal of Hydrology 239 (2000) 132–147.
  20. K Gwangseob and P. B. Ana, "Quantitative flood forecasting using multisensor data and neural networks", Journal of Hydrology, 246, 45-52, 2001.
  21. Kin C Luk, J. E. Ball and A. Sharma, 2001, "An Application of Artificial Neural Networks for Rainfall Forecasting", 33, pp. 883-699.
  22. Ajith Abraham, Dan Steinberg and Ninan Sajeeth Philip,"Rainfall Forecasting Using Soft Computing Models and Multivariate Adaptive Regression Splines", 2001.
  23. K. W. Wong, P. M. Wong, T. D. Gedeon & C. C. Fung, "Rainfall Prediction Using Soft Computing Technique", Soft Computing 7 (2003) 434 – 438.
  24. C. I. Christodoulou, S. C. Michaelides, M. Gabella, C. S. Pattichis, "Prediction of rainfall rate based on weather radar measurements", IEEE, 2004, vol. 2, 1393-1396.
  25. Gwo-Fong Lin and Lu-Hsien Chen, 2005, "Application of an artificial neural network to typhoon rainfall forecasting", Hydrological Processes, 19, pp. 1825–1837.
  26. P. Guhathakurta, 2006, "Long-Range Monsoon Rainfall Prediction of 2005 for the Districts and Sub-Division Kerala with Artificial Neural Network", Current Science, 90 (6), pp-773-779.
  27. V. K. Somvanshi, O. P. Pandey, P. K. Agrawal, N. V. Kalanker1, M. Ravi Prakash and Ramesh Chand, "Modeling and prediction of rainfall using artificial neural network and ARIMA techniques", J. Ind. Geophys. Union (April 2006) Vol. 10, No. 2, pp. 141-151.
  28. A. D. Kumarasiri and D. U. J. Sonnadara, 2006, "Rainfall Forecasting: An Artificial Neural Network Approach", Proceedings of the Technical Sessions, vol 22, pp. 1-13.
  29. Paras, Sanjay Mathur, Avinash Kumar, and Mahesh Chandra, "A feature based on weather prediction using ANN"World Academy of Science, Engineering and Technology 34 2007.
  30. S Chattopadhyay, "Feed Forward Artificial Neural Network model to predict the average summer moonsoon rainfall in India", Acta Geophysica 55 (3), 369-382.
  31. D. N. Kumar, M. J. Reddy, R. Maity, " Regional Rainfall Forecasting using Large Scale Climate Teleconnections and Artificial Intelligence Techniques", Journal of Intelligent System, Vol. 16, No. 4, 2007.
  32. S Chattopadhyay and Manojit Chattopadhyay, "A Soft Computing technique in rainfall forecasting", International Conference on IT, HIT, March19-21, 2007.
  33. S. Chattopadhyay, G. Chattopadhyay, 2008a. Identification of the best hidden layer size for three-layered neural net in predicting monsoon rainfall in India. J. Hydroinformatics 10 (2), 181–188.
  34. N. Q. Hung, M. S. Babel, S. Weesakul, and N. K. Tripathi, 2008, "An artificial neural network model for rainfall forecasting in Bangkok, Thailand", Hydrology and Earth System Sciences, vol. 5, pp. 183–218.
  35. Liu Xinia, Zhang Anbing, Shi Cuimei, Wang Haifeng, "Filtering and Multi-Scale RBF Prediction Model of Rainfall Based on EMD Method", ICISE, 2009, 3785 – 3788.
  36. S. Karmakar, M. K. Kowar, P. Guhathakurta, "Long-Range Monsoon Rainfall Pattern Recognition and Prediction for the Subdivision 'EPMB' Chhattisgarh Using Deterministic and Probabilistic Neural Network ", ICAPR, 2009, 367-370.
  37. Karim Solaimani, 2009, "Rainfall-runoff Prediction Based on Artificial Neural Network (A Case Study: Jarahi Watershed)", American-Eurasian J. Agric. & Environ. Sci. , vol. 5(6), pp. 856-865.
  38. Dr S. Santosh Baboo and I. Khadar Shareef, "An efficient Weather Forecasting Model using Artificial Neural Network", International Journal of Environmental Science and Development, Vol. 1, No. 4, October 2010.
  39. Enireddy. Vamsidhar, K. V. S. R. P. Varma , P Sankara Rao, Ravikanth satapati, 2010, "Prediction of Rainfall Using Back propagation Neural Network Model", International Journal on Computer Science and Engineering, Vol. 02, No. 04, pp. 1119-1121.
  40. C. L. Wu, K. W Chau, and C. Fan, 2010, "Prediction of Rainfall Time Series Using Modular Artificial Neural Networks Coupled with Data Preprocessing Techniques", Journal of Hydrology, Vol. 389, No. 1-2, pp. 146-167.
  41. Nastos Panagiotis, Moustris Kostas, Larissi Ioanna, and Paliatsos Athanasios, 2010, "Rain intensity forecast using Artificial Neural Networks in Athens, Greece", Geophysical Research Abstracts, Vol. 12.
  42. C. Y. Patil and A. A Ghatol. , 2010, "Rainfall forecasting using local parameters over a meteorological station: an artificial neural network approach", International J. of Engg. Research & Indoor. Appls, Vol. 3, No. II, pp 341-356.
  43. R. Chadwick, E. Coppola, F. Giorgi, 2011. An artificial neural network technique for downscaling GCM outputs to RCM spatial scale. Nonlinear Processes Geophys. 18 (6), 1013–1028.
  44. Kesheng Lu, Lingzhi Wang, "A Novel Nonlinear Combination Model Based on Support Vector Machine for Rainfall Prediction", CSO, 2011, 1343 – 1346.
  45. Amr H. El-Shafie, A. El-Shafie, Hasan G. El Mazoghi, A. Shehata and Mohd. R. Taha, 2011, "Artificial neural network technique for rainfall forecasting applied to Alexandria, Egypt", International Journal of the Physical Sciences Vol. 6(6), pp. 1306–1316, 2011.
  46. N. A. Charaniya, S. V. Dudul, "Committee of artificial neural networks for monthly rainfall prediction using wavelet transform", ICBEIA, 2011, 125-129.
  47. A El-Shafie, A. Noureldin, M. R. Taha, and A. Hussain, 2011, "Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia", Hydrol. Earth Syst. Sci. , vol. 8, pp. 6489–6532.
  48. G. Geetha,. R Samuel Selvaraj, 2011, "Prediction of monthly rainfall in Chennai using back propagation neural network model", International Journal of Engineering Science and Technology, Vol. 3 No. 1, pp. 211-213
  49. A. El-shafie, M. Mukhlisin, A. Najah Ali and M. R. Taha, 2011, "Performance of artificial neural network and regression techniques for rainfall-runoff prediction", International Journal of the Physical Sciences, Vol. 6(8), pp. 1997-2003.
  50. Afshin Sarah, Fahmi Hedayat, Alizadeh Amin, Sedghi Hussein and Kaveh Fereidoon, 2011, "Long term rainfall forecasting by integrated artificial neural network-fuzzy logic-wavelet model in Karoon basin", Scientific Research and Essays, Vol. 6(6), pp. 1200-1208.
  51. Kumar Abhishek, Abhay Kumar, Rajeev Ranjan, Sarthak Kumar, "A Rainfall Prediction Model using Artificial Neural Network", 2012 IEEE Control and System Graduate Research Colloquium.
  52. G. Shrivastava, S. Karmakar, M. K. Kowar, P. Guhathakurta, "Application of Artificial Neural Networks in Weather Forecasting: A Comprehensive Literature Review", IJCA, Vol 51,No. 18,0975-8887,2012.
  53. Rohit R. Deshpande, "On the Rainfall Time Series Prediction Using Multilayer Perceptron Artificial Neural Network", IJETAE, vol. 2, 1, 2012
  54. C. L. Wu, K. W. Chau*, "Prediction of rainfall time series using modular soft computing methods", Engineering Application of Artificial Intelligence 26 (2013), 997-1007.
  55. P Singh and B Borah, "Indian summer monsoon rainfall prediction using artificial neural network", Stochastic Environmental Research and Risk Assessment, 2013, 1436-3240.
Index Terms

Computer Science
Information Sciences

Keywords

Rainfall Neural Network BPN RBF SVM SOM ANN