Comparative evaluation of evapotranspiration models with lysimeter data in Ranchi

Authors

  • JOSNA MURMU Department of Environmental Sciences, Central University of Jharkhand, Brambe-835205, Ranchi, Jharkhand, India
  • R. LATHA Indian Institute of Tropical Meteorology, NCL Post, Pune-411008
  • B. S. MURTHY Indian Institute of Tropical Meteorology, NCL Post, Pune-411008
  • MANOJ KUMAR Department of Environmental Sciences, Central University of Jharkhand, Brambe-835205, Ranchi, Jharkhand, India

DOI:

https://doi.org/10.54386/jam.v27i4.3101

Keywords:

Evapotranspiration, Lysimeter, Empirical models, FAO-56 Penman–Monteith

References

Allen, R. G., Pereira, L. S., Raes, D., and Smith, M. (1998). Crop evapotranspiration- Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9): D05109.

Christiansen, J. E. (1968). Pan evaporation and evapotranspiration from climatic data. J. Irrig. Drain. Division, 94(2): 243-266.

Dar, E. A., Yousuf, A., and Brar, A. S. (2017). Comparison and evaluation of selected evapotranspiration models for Ludhiana district of Punjab. J. Agrometeorol., 19(3): 274-276. https://doi.org/10.54386/jam.v19i3.671

Hargreaves, G. H., and Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Appl. Engg. Agric., 1(2): 96-99.

Liu, X., Xu, C., Zhong, X., Li, Y., Yuan, X., and Cao, J. (2017). Comparison of 16 models for reference crop evapotranspiration against weighing lysimeter measurement. Agric. Water Manag., 184: 145-155.

Mehta, R., and Pandey, V. (2015). Reference evapotranspiration (ETo) and crop water requirement (ETc) of wheat and maize in Gujarat. J. Agrometeorol., 17(1): 107-113. https://doi.org/10.54386/jam.v17i1.984

Murmu, J., Radhadevi, L., Pande, C., Bandaru, M., and Kumar, M. (2025). Indicators of Sustained Agriculture, Impacts of LULC and Weather Parameters on ET: Case study in Chota Nagpur plateau. Environ. Sustain. Indic., 100836.

Naidu, D., and Majhi, B. (2019). Reference evapotranspiration modeling using radial basis function neural network in different agro-climatic zones of Chhattisgarh. J. Agrometeorol., 21(3):316-326. https://doi.org/10.54386/jam.v21i3.254

Naresh, R., Kumar, M., Kumar, S., Singh, K., and Sharma, P. (2023). Estimation of reference evapotranspiration using artificial neural network models for semi-arid region of Haryana. J. Agrometeorol., 25(1): 145-150. https://doi.org/10.54386/jam.v25i1.1914

Phad, S. V., Dakhore, K. K., and Sayyad, R. S. (2019). Comparison of different methods for estimation of reference evapotranspiration at Parbhani, Maharashtra. J. Agrometeorol., 21(2): 236-238. https://doi.org/10.54386/jam.v21i2.243

Schendel, U. (1967). Vegetation water consumption and water requirement. Habilitation, Kiel, 137: 1-11.

Srivastava, A., Sahoo, B., Raghuwanshi, N. S., and Chatterjee, C. (2018). Modelling the dynamics of evapotranspiration using Variable Infiltration Capacity model and regionally calibrated Hargreaves approach. Irrig. Sci., 36: 289-300.

Tahashildar, M., Bora, P. K., Ray, L. I., and Thakuria, D. (2017). Comparison of different reference evapotranspiration (ET0) models and determination of crop-coefficients of french bean (Phesiolus vulgaris.) in mid hill region of Meghalaya. J. Agrometeorol., 19(3): 233-237. https://doi.org/10.54386/jam.v19i3.645

Tomar, A. S. (2022). Applicability of standard FAO56-PM ET model with limited meteorological dataset under humid climate of India. Indian J. Soil Cons., 50(1): 38-46.

Turc, L. (1961). Evaluation des besoins en eau d'irrigation, évapotranspiration potentielle. Ann. Agron., 12: 13-49.

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Published

01-12-2025

How to Cite

MURMU, J., R. LATHA, B. S. MURTHY, & MANOJ KUMAR. (2025). Comparative evaluation of evapotranspiration models with lysimeter data in Ranchi. Journal of Agrometeorology, 27(4), 507–510. https://doi.org/10.54386/jam.v27i4.3101

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Short Communication

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