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Pan coefficients for estimating open-water surface evaporation for a humid tropical monsoon climate region in India

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Abstract

Pan coefficients have been developed for the Sukhna lake region in Chandigarh, India that has a humid tropical monsoon climate, using the optimisation technique for annual, monthly and seasonal time scales. Evaporation estimated using the Bowen ratio energy budget method has been considered as actual evaporation. Results show that the pan coefficient for the study area varies significantly both by month and season. The month-wise variation is in the range of 0.72–1.40 and the seasonal variation is in the range of 0.81–1.16. Pan coefficients obtained using various existing models such as Cuenca, Snyder, Modified Snyder, Pereira, Orang, FAO-56 and Wahed–Snyder have also been compared with the developed coefficients. Comparative analysis indicates that the pan coefficients obtained using the Snyder model overestimate evaporation significantly, while the rest of the models significantly underestimate evaporation. The study concludes that the developed pan coefficients are observed to estimate the open-water surface evaporation with a fair degree of accuracy for the study area while the pan coefficient value of 0.7 being used by most field organisations in India give high errors. However, since pan coefficients vary spatially due to the variation in the relative significance of various meteorological parameters, the pan coefficients developed in the present study need to be further evaluated for their suitability to other similar climatic regions of India.

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Acknowledgements

The authors are thankful to Department of Forests and Wildlife, Chandigarh, for the logistic support towards the generation of the data required for the study.

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Correspondence to Prabhat Semwal.

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Corresponding Editor: Kavirajan Rajendran

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Khobragade, S.D., Semwal, P., Senthil Kumar, A.R. et al. Pan coefficients for estimating open-water surface evaporation for a humid tropical monsoon climate region in India. J Earth Syst Sci 128, 175 (2019). https://doi.org/10.1007/s12040-019-1198-2

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  • DOI: https://doi.org/10.1007/s12040-019-1198-2

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