Abstract
In this study, reference evapotranspiration (ETo) has been estimated using Penman–Monteith (PM) method on monthly time step. The monthly values have been subsequently used to estimate annual and seasonal ETo values. The trend analysis has been carried out for monthly, annual and seasonal ETo values for three meteorological stations namely Allahabad, Rewa and Satna located in the Tons River Basin in Central India. Further, the trend of weather variables that affect ETo have been examined using the Mann–Kendall test after removing the effect of significant lag-1 serial correlation from the time series using trend free-pre-whitening (TFPW) method. The magnitude of trends has been calculated using Sen’s slope estimator. Almost all the months show the significant decreasing trend in ETo values at a significance level of 1, 5 and 10 %. The significant decreasing trends were also found in annual and seasonal ETo values during the period of analysis. The magnitude of decrease in annual ETo varied from −1.75 to −8.98 mm/year. On the seasonal scale, stronger decreasing trends were identified in ETo in pre monsoon and monsoon season as compare to that of winter and post monsoon season. The significant decreasing trends were found in monthly, annual and seasonal wind speed. However, significant increase was found in annual air temperature (maximum, minimum, mean and dew point temperature) and relative humidity. Using the sensitivity analysis, maximum temperature and net solar radiation was found to be the most dominant variables which influence the rate of annual ETo over all the stations.
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Acknowledgments
The authors are thankful to the Department of Science and Technology (DST), New Delhi for providing financial support during the study period. We are also thankful to anonymous reviewers for their thoughtful suggestions to improve this manuscript significantly.
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Darshana, Pandey, A. & Pandey, R.P. Analysing trends in reference evapotranspiration and weather variables in the Tons River Basin in Central India. Stoch Environ Res Risk Assess 27, 1407–1421 (2013). https://doi.org/10.1007/s00477-012-0677-7
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DOI: https://doi.org/10.1007/s00477-012-0677-7