ISSN : 0975-3710
EISSN : 0975-9107
M. VENGATESWARI1*, V. GEETHALAKSHMI2, K. BHUVANESWARI3, R. JAGANNATHAN4, H.P. DASARI5, S. PANNEER SELVAM6
1Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
2Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
3M.S. Swaminathan Research Foundation, Chennai, 600113, Tamil Nadu, India
4Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
5Research Scientist, King Abdullah University of Science and Technology, Saudi Arabia
6Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
* Corresponding Author : vengateswariagmet@gmail.com
Received : 03-05-2019 Accepted : 26-05-2019 Published : 30-05-2019
Volume : 11 Issue : 10 Pages : 8463 - 8466
Int J Agr Sci 11.10 (2019):8463-8466
Keywords : Rainfall, Temperature, Trend Analysis, Mann-Kendall Test, Sen’s Slope Estimator
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to SPLICE-CCP of DST for financial support. Authors are also thankful to Department of Science and Technology and Agro Climate Research Centre, Directorate of Crop Management, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu
Author Contribution : All authors equally contributed
The aim of this study was to explore the changes in the annual and seasonal rainfall and temperature using the long term time series data of Tamil Nadu. Trend analysis made through the non parametric Mann-Kendall test and Sen’s slope estimator for historic climatic period (1981-2017) and future time scales such as near century (2010-2039), mid of century (2040-2069) and end of century (2071-2099). Trend analysis of observed maximum and minimum temperature indicated an increasing trend at the annual and seasonal scale while rainfall showed no clear cut trend over Tamil Nadu. Annual and seasonal maximum and minimum temperatures are predicted to have more variability and significant warming trend in the future. In future, the projected annual and seasonal rainfall tread indicated a mixed pattern over Tamil Nadu.
1. CSO. (2011) National Accounts Statistics 2011 and Earlier Issues, Central Statistics Office (CSO), Ministry of Statistics and Programme Implementation, Govt. of India, New Delhi.
2. Dee D.P., Uppala S.M., Simmons A.J., Berrisford P., Poli P., Kobayashi S. and Bechtold P. (2011) Quarterly Journal of the royal meteorological society, 137(656), 553-597.
3. Department of Economics and Statistics (2010) Annual report, Department of Economics and Statistics, Tamil Nadu State, Chennai.
4. Erlat E. and Türkeş M. (2012) International Journal of Climatology, 32, 1889-1898.
5. Kendall M.G. (1975) Rank Correlation Methods. Griffin, London
6. Langodan S., Viswanadhapalli Y., Dasari H. P., Knio O. and Hoteit I. (2016) Applied energy, 181, 244-255.
7. Meinshausen M., Smith S. J., Calvin K., Daniel J. S., Kainuma M. L. T., Lamarque J. F. and Thomson A. G. J. M. V. (2011) Climatic change, 109(1-2), 213.
8. Modarres R. and da Silva V.D.P.R. (2007) Journal of arid environments, 70(2), 344-355.
9. Partal T. and Kahya E. (2006) Hydrological processes; 20(9), 2011-2026.
10. Patle G.T., Libang A. and Ahuja S. (2016) Analysis of rainfall and temperature variability and trend detection, A non parametric Mann Kendall test approach. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1723-1727).
11. Patle G. T., Singh D. K., Sarangi A., Rai A., Khanna M. and. Sahoo R.N. (2013) Indian journal of agricultural sciences, 83 (5), 518-24.
12. Sathyan A.R., Funk C., Aenis T., Winker P. and Breuer L. (2018) Climate Change Responses, 5(1), 1.
13. Sayemuzzaman M., Jha M.K. and Mekonnen A. (2015) Theoretical and Applied Climatology, 120, 159-171.
14. Sen P. K. (1968) Journal of the American statistical association, 63(324), 1379-1389.
15. Trajkovic S. and Kolakovic S. (2009) Hydrology Research; 40 (1), 45–52.
16. Viswanadhapalli Y., Dasari H., Langodan S., Challa V.S. and I. Hoteit. (2016) Int. J. Climatol., 37(5), 2563-2581.