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International Journal of Statistika and Mathematika, ISSN: 2277- 2790 E-ISSN: 2249-8605

Volume 9, Issue 1, February 2014 pp 14-19

Research Article

Forecasting of Monthly Mean of Maximum Surface Air Temperature in India

 

K. Anitha Kumari1, Naveen Kumar Boiroju2, P. Rajashekara Reddy1

1Department of Statistics, Sri Venkateswara University, Tirupati, Andhra Pradesh, INDIA.

2National Academy of Agricultural Research Management, Hyderabad, Andhra Pradesh, INDIA.


Academic Editor: Dr. Dase R.K.

 

Linked References
                1. Afzali, M., Afzali, A. and Zahedi, G. (2011). Ambient Air Temperature Forecasting Using Artificial Neural Network Approach, 2011 International Conference on Environmental and Computer Science, IPCBEE Vol.19, IACSIT Press, Singapore.
                2. Aladag, H.A., Egrioglu, E., Kadilar, C. (2009). Forecasting Nonlinear Time Series with a Hybrid Methodology. Applied Mathematic Letters, 22, pp. 1467-147.
                3. Boiroju, N.K. (2012). Forecasting Foreign Exchange Rates using Neural Networks, Unpublished Ph.D. Thesis, Department of Statistics, Osmania University, Hyderabad.
                4. Box, G. E. P., Jenkins, G. M. and  Reinsel, G. C. (1994). Time Series Analysis Forecasting and Control, 3rd ed., Englewood Cliffs, N.J. Prentice Hall.
                5. Fan,Y and Dool, H. (2008). A global monthly land surface air temperature analysis for 1948–present. Journal Of Geophysical Research, Vol. 113, D01103, Doi:10.1029/2007jd008470, 2008.
                6. Faraway, J. and Chatfield, C. (1998). Time series forecasting with neural networks: a comparative study using the airline data, Journal of the Royal Statistical Society, Series C, Vol. 47, 2, pp. 231-250.
                7. Hasanean. H. M. (2001). Fluctuations of surface air temperature in the Eastern Mediterranean. Theoretical Applied Climatology, 68, pp. 75-87.
                8. Kitoh. A, Mukano. T. (2009). Changes in Daily and Monthly Surface Air Temperature Variability by Multi-Model Global Warming Experiments. Journal of the Meteorological Society of Japan, Vol. 87, No. 3, pp. 513--524, 2009.
                9. Kjellström, E.  Bärring, L., Jacob, D., Jones, R., Lenderink, G.  and Schär, C. (2007). Modelling daily temperature extremes: recent climate and future changes over Europe. Climatic Change (2007) 81, pp. 249–265 DOI 10.1007/s10584-006-9220-5.
                10. Kumari, A. K., Boiroju, N.K., Ganesh, T.  and Reddy, P.R. (2013), Forecasting Surface Air Temperature using Neural Networks,  International Journal of Mathematics and Computer Applications Research (IJMCAR), Vol. 3, Issue 2, pp. 65-78.
                11. Mostovoy. G. V, King. R. L, Reddy, K.R., Kakani,V.G., Filippova, M.G. ( 2006).  Statistical Estimation of Daily Maximum and Minimum Air Temperatures from MODIS LST Data over the State of Mississippi. GIScience & Remote Sensing, 2006, 43, No. 1, pp. 78-110.
                12. NAPCC. (2008). National action plan on climate change, Prime minister’s council on climate change, Government of India. (Available online at http://pmindia.gov.in/climate_change_english.pdf accessed on 10.10.2013).
                13. Pai, P.F. and Lin, C.S. (2005). A hybrid ARIMA and support vector machines model in stock price forecasting. Omega - International Journal of Management Science, 33, pp. 497-505.
                14. Rao, S.S. (2011). Forecasting of Monthly Rainfall in Andhra Pradesh using Neural Networks, Unpublished Ph.D. Thesis, Department of Statistics, Osmania University, Hyderabad.
                15. Sallehuddin, R., Shamsuddin, S. M. H., Hashim, S. Z. M., Abraham, A. (2007). Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model, Neural network world, 6/07, pp. 573-605.
                16. Shrivastava, G., Karmakar, S., Kowar, M.K., Guhathakurta, P. (2012). Application of Artificial Neural Networks in Weather Forecasting: A Comprehensive Literature Review, International Journal of Computer Applications, Vol. 51, No.18, August 2012.
                17. Smith, B.A. (2006). Air temperature prediction using artificial neural networks, M.Sc. (Thesis), University of Gerogia.
                18. Stein, M. and Lloret, J. (2001). Forecasting of Air and Water Temperatures for Fishery Purposes with Selected Examples from Northwest Atlantic, J. Northw. Atl. Fish. Sci., Vol. 29, pp. 23-30.
                19. Tasadduq. I., Rehman, S., Bubshait, K. (2005). Application of neural networks for the prediction of hourly mean surface temperatures in Saudi Arabia. Renewable Energy, 25, pp. 545-554.
                20. Taskaya, T., and Casey, M. C. (2005). A comparative study of autoregressive neural network hybrids. Neural Networks, 18, pp. 781–789.
                21. Tseng, F.M., Yu, H.C., and Tzeng, G.H. (2002). Combining neural network model with seasonal time series ARIMA model. Technological Forecasting and Social Change, 69, pp. 71–87.
                22. Zhang, G. P. (2003). Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing, 50, pp. 159–175.
                23. Zhang, G., Patuwo, B.E. and Hu, M.Y. (1998). Forecasting with Artificial Neural Networks: The State of the Art, International Journal of Forecasting, 14, pp. 35-62.
 
 
 
 
 
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