Analysis of rainfall and temperature data to determine weather-change in Bangalore Urban District, Southern India

Akhilesh S.R.¹ , Lavanya M.² , Samreen A.³ , Geetha G.⁴ , Anand L.F.M.⁵

Section:Research Paper, Product Type: Journal-Paper
Vol.9 , Issue.9 , pp.41-44, Sep-2023

Online published on Sep 30, 2023

Copyright © Akhilesh S.R., Lavanya M., Samreen A., Geetha G., Anand L.F.M. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Weather change in Bangalore urban district of Karnataka state, southern India is been studied from annual rainfall and temperature data. The rainfall and temperature have been measured using standard ground based instruments and recorded data at Indian Meteorology Department located in Bangalore. The data is been obtained and analysed using Origin 8.0 pro software. The result is computed using the standard climate model for temperature and rainfall. It is been reported an above normal rain fall and a fall in average temperature during the year investigated. The fall in temperature could be probably accounted for low emission of greenhouse gases during the year. The percentage departure in the annual rainfall is systematically calculated and the difference is graphically represented.

Key-Words / Index Term :
Weather change, rain fall, temperature measurement, Bangalore urban district

References :
[1]. C. B. Beatrice, R. Nasser, Afshar, O. S. Selaman, and H. Fahmi, “Application of mathematical modelling in rainfall forecast: a csae study in sgs. Sarawak basin”, International Journal of Research in Engineering and Technology, Vol. 3, pp. 316 – 319, 2014.
[2]. A. K. Sahai, M. K. Soman, V. Satyan, “All India summer monsoon rainfall prediction using an artificial neural network”, Climate Dynamics, Vol. 16, pp. 291–302, 2000.
[3]. Wei-Chiang Hong, “Rainfall forecasting by technological machine learning models”, Applied Mathematics and Computation, pp. 41 – 57, 2008.
[4]. S. R. Samuel and Raajalakshmi, “Statistical Method of Predicting the Northeast Rainfall of Tamil Nadu”, Universal Journal of Environmental Research and Technology, Vol. 1, Issue.4, pp. 557-559, 2011.
[5]. T. W. Thu, T. W. Nwe, and Z. Z. A. Aye, “Study on the Mathematical Models Based on Weather Parameters in Mandalay, Myanmar” International Journal of Scientific Research and Engineering Development, Vol. 3, Issue.4, pp. 753-757, 2020.
[6]. F. Tesfahun, and G. Temesgen, “Analysis of rainfall temperature data to determine climate change in Dilla Zuria District, Southern Ethiopia”, Civil and Environmental Research,Vol. 6,Issue.7, pp. 39 – 42, 2014.
[7]. M. Darshan, and S. M. Yadav, “An analysis of rainfall variability and drought over Barmer District of Rajasthan, North west India”, Water Supply Vol. 21, Issue.5, pp. 2505-2517, 2021.
[8]. W. Zhao and M. Khalil, “The relationship between precipitation and temperature over the contiuous United States and the Middle East”, Journal of Climatology, pp. 1232-1236, 1993.
[9]. R. A. Madden and J. Williams, “The correlation between temperature and precipitation in the United States and Europe”, Monitory Weather Revie, Vol. 106, pp.142-147, 1978.