Data Mining for Weather and Climate Studies
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : K C Gouda, Chandrika M
|DOI : 10.14445/22315381/IJETT-V32P206|
K C Gouda, Chandrika M"Data Mining for Weather and Climate Studies", International Journal of Engineering Trends and Technology (IJETT), V32(1),29-32 February 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
India is mainly controlled by the monsoon rainfall during the months of June to September each year. Efficient and real time analysis of monsoon rainfall to understand the impact of monsoon over different sectors like agriculture, health, disaster water etc in Indian subcontinent are being carried out using data mining techniques. On the growing importance of climate change studies in particular rainfall variability now a day, using the High Performance Computing, different users starting from a farmer to a scientist to a policy maker needs to understand the various changes in the rainfall pattern both spatial as well as temporal scale. The recent growth in observations due to many satellites on orbit and numerical weather prediction model outputs, combined with the increased availability of geographical data, presents new opportunities for data miners to study the weather and climate in detail and depth. In the paper work an approach is being carried out to provide better understanding of the monsoon rainfall over India using spatio-temporal data mining at different scale i.e daily to decade.
 Casas D. M, Gonzalez A.T, Rodrígue J. E. A., Pet J. V., 2009, “Using Data-Mining for Short-Term Rainfall Forecasting”, Notes in Computer Science, Volume 5518, 487-490
 Bregman, J.I., Mackenthun K.M., 2006, Environmental Impact Statements, Chelsea: MI Lewis Publication
 Rushing J. R., Ramachandran U, Nair S., Graves R., Welch, Lin A., 2005, “A Data Mining Toolkit for Scientists and Engineers”, Computers & Geosciences, 31, 607-618.
 Gouda K C, Radhika T V , Akshatha M, Priority based resource allocation model for cloud computing, International Journal of Science, Engineering and Technology Research (IJSETR), ISSN: 2278 – 7798, pp 215-219.
 Rajeevan M, Bhate J, Kale JD and Lal B. 2006. A high resolution daily gridded rainfall for the Indian region: analysis of break and active monsoon spells. Current Science 91(3):296-306.
 Lau KM and Wu HT. 2007. Detecting trends in tropical rainfall characteristics, 1979- 2003. International Journal of Climatology 27:979-988.
Data mining, Weather and Climate, Spatio temporal techniques, clustering and Classification.