AS  Vol.11 No.9 , September 2020
Assessing Climate Change Impact on Future Reference Evapotranspiration Pattern of West Bengal, India
Abstract: Considering the importance of reference evapotranspiration (RET) in agriculture, hydrology and meteorology, the research problem was taken to assess the RET during winter season under projected climatic situation of West Bengal, India. The Penman-Monteith method was used in the study as it is the most accurate method of estimating RET. However, validation of the output of the equation was done with the help of observed data set. The data analysis was carried out using NCAR Command Language (NCL). The result clearly shows that the reference ET of the study area will be increased in the tune of 13% to 32% in the year 2050 compared to present RET level. Analysis of actual rainfall data shows a decreasing trend of winter rainfall in the study region. The projected rainfall data also follows the same pattern. Thus, the combination of low rainfall and higher ET value will demand more irrigation requirement for winter crops in West Bengal. The temporal changes of RET on decadal basis and spatial variation of RET for each decade have been observed and discussed in the paper.
Cite this paper: Banerjee, S. and Biswas, B. (2020) Assessing Climate Change Impact on Future Reference Evapotranspiration Pattern of West Bengal, India. Agricultural Sciences, 11, 793-802. doi: 10.4236/as.2020.119051.

[1]   Cramer, W., Guiot, J., Fader, M. Garrabou, J., Gattuso, J.P., Iglesias, A., Lange, M.A., Lionello, P., Llasat, M.C., Paz, S., Peñuelas, J., Snoussi, M., Toreti, A., Tsimplis, M.N. and Xoplaki, E. (2018) Climate Change and Interconnected Risks to Sustainable Development in the Mediterranean. Nature Climate Change, 8, 972-980.

[2]   Schiermeier, Q. (2014) Water Risk as World Warms. Nature, 505, 10-11.

[3]   Droogers, P., Immerzeel, W.W., and Lorite, I.J. (2010) Estimating Actual Irrigation Application by Remotely Sensed Evapotranspiration Observations. Agricultural Water Management, 97, 1351-1359.

[4]   Schewe, J., Heinke, J., Gerten, D., Haddeland, I., Arnell, N.W., et al. (2014) Multimodel Assessment of Water Scarcity under Climate Change. Proceedings of the National Academy of Sciences of the United States of America, 111, 3245-3250.

[5]   Banerjee, S., Chatterjee, S., Sarkar, S. and Jena, S. (2016) Projecting Future Crop Evapotranspiration and Irrigation Requirement of Potato in Lower Gangetic Plains of India Using the CROPWAT 8.0 Model. Potato Research, 59, 313-327.

[6]   Cohen, S., Ianetz, A. and Stanhill, G. (2002) Evaporative Climate Changes At Bet Dagan, Israel, 1964-1998. Agricultural and Forest Meteorology, 111, 83-91.

[7]   Bates, B., Kundzewicz, Z.W., Wu, S. and Palutikof, J. (2008) Climate Change and Water. Technical Paper Vi, Intergovernmental Panel on Climate Change (IPCC), Geneva.

[8]   Willmott, C.J., Rowe, C.M., and Mintz, Y. (2007) Climatology of the Terrestrial Seasonal Water Cycle. International Journal of Climatology, 5, 589-606.

[9]   Zhou, M.C., Ishidaira, H. and Takeuchi, K. (2008) Comparative Study of Potential Evapotranspiration and Interception Evaporation by Land Cover over Mekong Basin. Hydrological Process, 22, 1290-1309.

[10]   Hargreaves, G.H. and Samani, Z.A. (1982) Estimating Potential Evapotranspiration. Journal of the Irrigation and Drainage Division, 108, 225-230.

[11]   Pidwirny, M. (2006) Fundamentals of Physical Geography. 2nd Edition. Online E-Book.

[12]   Zhou, M.C., Ishidaira, H., Hapuarachchi, H.P., Magome, J., Kiem, A.S. and Takeuchi, K. (2006) Estimating Potential Evapotranspiration Using Shuttleworth-Wallace Model and NOAA-AVHRR NDVI Data to Feed a Distributed Hydrological Model over the Mekong River Basin. Journal of Hydrology, 327, 151-173.

[13]   Kumar, M., Raghuwanshi, N.S., Singh, R., Wallender, W.W. and Pruitt, W.O. (2002) Estimating Evapotranspiration Using Artificial Neural Network. Journal of Irrigation and Drainage Engineering, 128, 224-233.

[14]   Jensen, M.E., Burman, R.D. and Allen, R.G. (1990) Evapotranspiration and Irrigation Water Requirements. ASCE Manuals and Reports on Engineering Practice No. 70. American Society of Civil Engineers, New York.

[15]   Allen, R.G., Walter, I.A., Elliot, R.L., Howell, T.A., Itenfisu, D., Jensen, M.E. and Snyder, R. (2005) The ASCE Standardized Reference Evapotranspiration Equation. ASCE and American Society of Civil Engineers, Reston.

[16]   Banerjee, S., Mukherjee, A., Das, S. and Saikia, B. (2014) Adaptation Strategies to Combat Climate Change Effect on Rice and Mustard in Eastern India. Mitigation and Adaptation Strategies for Global Change, 21, 249-261.

[17]   Boomiraj, K., Chakrabarti, B., Aggarwal, P.K., Choudhary, R. and Chander, S. (2010) Assessing the Vulnerability of Indian Mustard to Climate Change. Agriculture, Ecosystems & Environment, 138, 265-273

[18]   FAO (1992) CROPWAT: A Computer Program for Irrigation Planning and Management. Irrigation and Drainage Paper No. 46, FAO, Rome.

[19]   Riahi, M., Jumaily, K. and Kamies, I. (2003) Measurements of Net Radiation and Its Components in Semi-Arid Climate of Baghdad. Energy Conversion and Management, 44, 509-525.

[20]   Verma, I.G., Jadhav, V.N. and Erande, R.S. (2008) Recent Variations and Trends in Potential Evapotranspiration (PET) over India. Mausam, 59, 119-128.

[21]   Tao, X.E., Chen, H., Xu, C.Y., Hou, Y. and Jie, M.X. (2015) Analysis and Prediction of Reference Evapotranspiration with Climate Change in Xiangjiang River Basin, China. Water Science and Engineering, 8, 273-281.