Innovative trend analysis of monsoon season rainfall of Kerala state
DOI:
https://doi.org/10.54386/jam.v27i3.3006Keywords:
Mann Kendall test, Sen test, Modified Mann Kendall test, Innovative trend method, level of significanceReferences
Adarsh, S., and Janga Reddy, M. (2015). Trend analysis of rainfall in four meteorological subdivisions of southern India using nonparametric methods and discrete wavelet transforms. Intern. J. Climatol., 35(6): 1107–1124. https://doi.org/10.1002/joc.4042
Al-Lami, A. M., Al-Timimi, Y. K., and Al-Salihi, A. M. (2024). Innovative trend analysis of annual rainfall in Iraq during 1980-2021. J. Agrometeorol., 26(2): 196–203. https://doi.org/10.54386/jam.v26i2.2561
Ghanim, A. A. J., Anjum, M. N., Rasool, G., Saifullah, Irfan, M., Rahman, S., Mursal, S. N. F., and Niazi, U. M. (2023). Assessing spatiotemporal trends of total and extreme precipitation in a subtropical highland region: A climate perspective. PLOS ONE, 18(8): e0289570. https://doi.org/10.1371/journal.pone.0289570
Hamed, K. H., and Ramachandra Rao, A. (1998). A modified Mann-Kendall trend test for autocorrelated data. J. Hydrol., 204(1–4): 182–196. https://doi.org/10.1016/S0022-1694(97)00125-X
Kendall, M. G. 1975 (Ed.). (1975). Rank Correlation Methods. Charles Griffin, London.
Nikhil Raj, P. P., and Azeez, P. A. (2012). Trend analysis of rainfall in Bharathapuzha River basin, Kerala, India. Intern. J. Climatol., 32(4): 533–539. https://doi.org/10.1002/joc.2283
Pattanaik, D. R., and Bushair, M. T. (2024). Objective method of predicting monsoon onset over Kerala in medium and extended range time scale using Numerical Weather Prediction models. Discover Appl. Sci., 6(7): 368. https://doi.org/10.1007/s42452-024-05909-y
Pradhan, M., Rao, A. S., Srivastava, A., Dakate, A., Salunke, K., and Shameera, K. S. (2017). Prediction of Indian Summer-Monsoon Onset Variability: A Season in Advance. Sci. Reports, 7(1):14229. https://doi.org/10.1038/s41598-017-12594-y
Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall’s Tau. J. American Stat. Assoc., 63(324): 1379–1389. https://doi.org/10.1080/01621459.1968.10480934
Şen, Z. (2012). Innovative Trend Analysis Methodology. J. Hydrol. Engg., 17(9): 1042–1046. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000556
Shankar, A., and Sharma, M. R. (2025). Rainfall variability and trends in different agroclimatic zones of Bihar, India. J. Agrometeorol., 27(1): 100–103.
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