Indian Journal of Agricultural Research

  • Chief EditorT. Mohapatra

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Indian Journal of Agricultural Research, volume 54 issue 1 (february 2020) : 58-64

Development of an Interface in MATLAB for Trend Analysis of Hydro-Meteorological Data

J.P. Patil, A. Sarangi, D.K. Singh
1National Institute of Hydrology, Roorkee-247 667, Uttarakhand, India. 
Cite article:- Patil J.P., Sarangi A., Singh D.K. (2019). Development of an Interface in MATLAB for Trend Analysis of Hydro-Meteorological Data. Indian Journal of Agricultural Research. 54(1): 58-64. doi: 10.18805/IJARe.A-5236.
This study presents an interface, ‘Climate Change Trend Analysis (CCTA)’, developed in MATLAB® environment to analyze the trends using non-parametric statistical methods, Mann-Kendall (MK) test and modified Mann-Kendall (MMK) test with Sen’s slope estimator. The interface was used to determine trend in annual and seasonal (kharif) rainfall depths in Pune district acquired from 13 observatories. The developed interface automates the trend analysis process, which can further use for detecting variability and trends in the meteorological as well as other hydrological and agricultural parameters. The observed rainfall trends during monsoon would play a significant role for rainfed agriculture in Pune district. 
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