Application of Artificial Neural Networks for monsoon rainfall prediction

Proceedings - 2010 6th International Conference on Emerging Technologies, ICET 2010

Volumn , Issue , 2010, Pages 27-32

  Awan, Jehangir Ashraf ^a   Maqbool, Onaiza ^b  

^a PAKISTAN METEOROLOGICAL DEPARTMENT   (Pakistan)

^b QUAID I AZAM UNIVERSITY   (Pakistan)

Author keywords

Artificial Neural Networks; Backpropagation; Learning Vector Quantization; Monsoon rainfall; Statisitcal Downscaling

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DOWN-SCALING; LEADTIME; LEARNING VECTOR QUANTIZATION; MONSOON RAINFALL; MULTIPLE LINEAR REGRESSIONS; NEURAL NETWORK MODEL; NEURAL NETWORK TECHNIQUES; PAKISTAN; STATISTICAL DOWNSCALING;

ATMOSPHERIC THERMODYNAMICS; BACKPROPAGATION; FORECASTING; LINEAR REGRESSION; RAIN; VECTOR QUANTIZATION;

NEURAL NETWORKS;

EID: 78650353395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICET.2010.5638385     Document Type: Conference Paper

References (20)

1. Q. Z. Chaudhary, "Analysis and seasonal prediction of Pakistan summer monsoon rainfall," Ph.D. dissertation, Department of Meteorology and Oceanography, College of Science, University of Philippines, 1992.
2. G. T. Walker, "Correlations in seasonal variations of weather, II," Memoirs of India Meteorological Department, Vol. 21, pp. 22-45, 1910.
3. A. K. Banerjee, P. N. Sen and C. R. V. Raman, "On foreshadowing southwest monsoon rainfall over India with mid-tropospheric circulation anomaly of April," Indian Journal of Meteorology, Hydrology and Geophysics, Vol. 29, pp. 425-431, 1978.
4. J. Shukla and D.A Mooley, "Empirical Prediction of The Summer Monsoon Rainfall Over India," Monthly Weather Review, Vol. 115, pp. 695-704, 1987.
5. M. Rajeevan, D. S. Pai, S. K. Dikshit and R. R. Kelkar, "IMD's new operational models for long-range forecast of southwest monsoon rainfall over India and their verification for 2003," Current Science, Vol. 86, No. 3, February 2004.
6. C. Goodess, J. Palutikof and M. Agnew, "Climate Change Scenarios for the Mediterranean: A Basis for Regional Impact Assessment," International Workshop on 'Climate Change and Mediterranean Coastal Systems: Regional Scenarios and Vulnerability Assessment', December 1999.
7. A. Karori, "Downscaling NCC CGCM output for seasonal precipitation prediction over Islamabad - Pakistan," Pakistan Journal of Meteorology, Vol. 4. No. 8, January 2008.
8. S. Gadgil, M. Rajeevan and R. Nanjundiah, "Monsoon prediction - Why yet another failure?," Current Science, Vol. 88, No. 9, May 2005.
9. J. Han and M. Kamber, "Data mining: concepts and techniques," Edition: 2, Morgan Kaufmann, 2006.
10. P. Guhathakurta, "Long lead monsoon rainfall prediction for meteorological sub-divisions of India using deterministic artificial neural network model," Meteorology and Atmospheric Physics, Vol. 101, No. 1, pp. 93-108, 2008.
11. S. Karmakar, M.K. Kowar and P. Guhathakurta, "Development of an 8-Parameter Probabilistic Artificial Neural Network Model for Long-Range Monsoon Rainfall Pattern Recognition over the Smaller Scale Geographical Region - District," First International Conference on Emerging Trends in Engineering and Technology, 2008.
12. S. Karmakar, M.K. Kowar and P. Guhathakurta, "Long-Range Monsoon Rainfall Pattern Recognition and Prediction for the Subdivision 'EPMB' Chhattisgarh Using Deterministic and Probabilistic Neural Network," Seventh International Conference on Advances in Pattern Recognition, 2009.
13. H.D. Navone and H.A. Ceccatto, "Predicting Indian monsoon rainfall: a neural network approach," Climate Dynamics, Vol. 10, 1994.
14. P. Goswami and P. Kumar, "Experimental annual forecast of all India mean summer monsoon rainfall for 1997 using a neural network model," Current Science Vol. 72, 1997.
15. V. M. Kattsov and E. Kallen, "Statistical Downscaling approach and downscaling of AOGCM climate change projections," In: Encyclopedia of Earth. 2010.
16. L. Faussett, "Fundamentals of neural networks: architecture, algorithms, and applications," Prentice Hall, 1994.
17. F. Muhammad, "Statistical Methods and Data Analysis," Kitab Markaz, Faisalabad, 2000.
18. M.J.A. Berry and G. Linoff, "Mastering data mining the art and science of customer relationship management 2nd Edition," Wiley Computer Publishing, 2000.
19. A. Blum, "Neural Networks in C++," NY: Wiley, 1992.
20. P. L. Cerf, B. Baeyens and D. V. Compernolle, "Speech Labeling with Euclidean VQ, LVQ and MLPs: a Comparative Study," IEEE Benelux Workshop on Circuits, Systems and Signal Processing, 1995.