Meteorological data analysis in form of data mining is concerned to predict the knowledge of weather condition. To make an accurate prediction is one of the challenging of meteorologist to survey the weather condition efficiently. Rainfall prediction becomes an important issue in agricultural country like India. The atmospheric correlations play a significant role in determining the climate trends which are crucial in understanding the short and long-term trends in climate. The climate changes, so experienced today are mainly due to over ambitious strategies and actions of human being on the eco-system. In this paper, a survey of meteorological data analysis in various data mining techniques is presented. It can be provided for future direction for research.

Meteorological analysis; Data mining Process; Clustering Techniques; Classification methods; Association Rule

[1] Nikhil Sethi, Dr.Kanwal Garg “Exploiting Data Mining Technique for Rainfall prediction” , International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 2014, 3982-3984.
[2] Fallah-Ghalhary G.A., Mousavi-Baygi, M. and Habibi-Nokhandan, M. (2009). Seasonal Rainfall Forecasting Using Artificial NeuralNetwork. Journal of Applied Sciences,9:1098-1105.
[3] Olaiya Folorunsho(2012):Application of Data mining Techniques in Weather Prediction and Climate change studies
[4] Paras ,et.al,” A Simple Weather Forecasting Model Using Mathematical Regression” in Indian Research Journal of Extension Education Special Issue (Volume I), January, 2012.
[5] Z.ismail,et.al,” Forecasting Gold Prices Using Multiple Linear Regression Method” in American Journal of Applied Sciences 6 (8):1509-1514, 2009 ISSN 1546-9239.
[6] Kotsiantis and et. al., “Using Data Mining Techniques for Estimating Minimum, Maximum and Average Daily Temperature Values”, World Academy of Science, Engineering and Technology 2007 pp. 450-454
[7] Thair Nu Phyu, “Survey of classification techniques in Data Mining”, IMECS 2009 Volume 1 Hong Kong pp. 1-5
[8] Han J., Kamber M.: Data Mining concepts and Techniques, Elsevier Science and Technology, Amsterdam 2006
[9] Cover T, Hart P (1967) “Nearest neighbor pattern classification”. IEEE Trans Inform Theory Volume 13(1) pp. 21–27
[10] Olaiya, Folorunsho, and Adesesan Barnabas Adeyemo. "Application of data mining techniques in weather prediction and climate change studies."International Journal of Information Engineering and Electronic Business (IJIEEB) 4.1 (2012): 51.
[11] Lawrence, Mark G. "The relationship between relative humidity and the dewpoint temperature in moist air: A simple conversion and applications." Bulletin of the American Meteorological Society 86.2 (2005): 225-233.
[12] Zhang, Guang Jun, and Michael J. Mcphaden. "The relationship between sea surface temperature and latent heat flux in the equatorial Pacific." Journal of climate 8.3 (1995): 589-605.