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http://dx.doi.org/10.7744/kjoas.20190004

Comparison of reference evapotranspiration estimation methods with limited data in South Korea  

Jeon, Min-Gi (Department of Bioresources and Rural Systems Engineering, Hankyong National University)
Nam, Won-Ho (Department of Bioresources and Rural Systems Engineering, Institute of Agricultural Environmental Science, Hankyong National University)
Hong, Eun-Mi (Department School of Natural Resources and Environmental Science, Kangwon National University)
Hwang, Seonah (National Institute of Agricultural Sciences, Rural Development Administration)
Ok, Junghun (National Institute of Agricultural Sciences, Rural Development Administration)
Cho, Heerae (National Institute of Agricultural Sciences, Rural Development Administration)
Han, Kyung-Hwa (National Institute of Agricultural Sciences, Rural Development Administration)
Jung, Kang-Ho (National Institute of Agricultural Sciences, Rural Development Administration)
Zhang, Yong-Seon (National Institute of Agricultural Sciences, Rural Development Administration)
Hong, Suk-Young (National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Korean Journal of Agricultural Science / v.46, no.1, 2019 , pp. 137-149 More about this Journal
Abstract
Accurate estimation of reference evapotranspiration (RET) is important to quantify crop evapotranspiration for sustainable water resource management in hydrological, agricultural, and environmental fields. It is estimated by different methods from direct measurements with lysimeters, or by many empirical equations suggested by numerous modeling using local climatic variables. The potential to use some such equations depends on the availability of the necessary meteorological parameters for calculating the RET in specific climatic conditions. The objective of this study was to determine the proper RET equations using limited climatic data and to analyze the temporal and spatial trends of the RET in South Korea. We evaluated the FAO-56 Penman-Monteith equation (FAO-56 PM) by comparing several simple RET equations and observed small fan evaporation. In this study, the modified Penman equation, Hargreaves equation, and FAO Penman-Monteith equation with missing solar radiation (PM-Rs) data were tested to estimate the RET. Nine weather stations were considered with limited climatic data across South Korea from 1973 - 2017, and the RET equations were calculated for each weather station as well as the analysis of the mean error (ME), mean absolute error (MAE), and root mean square error (RMSE). The FAO-56 PM recommended by the Food Agriculture Organization (FAO) showed good performance even though missing solar radiation, relative humidity, and wind speed data and could still be adapted to the limited data conditions. As a result, the RET was increased, and the evapotranspiration rate was increased more in coastal areas than inland.
Keywords
FAO Penman-Monteith; Hargreaves; modified Penman; reference evapotranspiration;
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Times Cited By KSCI : 10  (Citation Analysis)
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1 Allen RG, Pereira LS, Howell TA, Jensen ME. 2011b. Evapotranspiration information reporting: II. Recommended documentation. Agricultural Water Management 98:921-929.   DOI
2 Cai J, Liu Y, Lei T, Pereira LS. 2007. Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages. Agricultural and Forest Meteorology 145:22-35.   DOI
3 Chiew FHS, Kamaladasa NN, Malano HM, McMahon TA. 1995. Penman-Monteith FAO-24 reference crop evapotranspiration and class-a pan data in Australia. Agricultural Water Management 28:9-21.   DOI
4 Choi W, Choi M, Oh H, Park J. 2010. Estimation on trends of reference evapotranspiration of weather station using reference evapotranspiration calculator software. Journal of the Korean Society of Civil Engineers 30:219-231. [in Korean]
5 Djaman K, Irmak S, Futakuchi K. 2017. Daily reference evapotranspiration estimation under limited data in Eastern Africa. Journal of Irrigation and Drainage Engineering 143:06016015.   DOI
6 Doorenbos J, Pruitt WO, Aboukhaled A. 1997. Crop water requirements. FAO Irrigation and Drainage Paper 24. FAO, Roma, Italy.
7 Droogers P, Allen RG. 2002. Estimating reference evapotranspiration under inaccurate data conditions. Irrigation and Drainage Systems 16:33-45.   DOI
8 Fox DG. 1981. Judging air quality model performance: A summary of the AMS workshop on dispersion model performance. Bulletin of the American Meteorological Society 62:599-609.   DOI
9 Garcia M, Raes D, Allen R, Herbas C. 2004. Dynamics of reference evapotranspiration in the Bolivian highlands (Altiplano). Agricultural and Forest Meteorology 125:67-82.   DOI
10 Hargreaves GH, Samani ZA. 1982. Estimating potential evapotranspiration. Journal of the Irrigation and Drainage Division 108:225-230.   DOI
11 Hargreaves GH, Samani ZA. 1985. Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture 1:96-99.   DOI
12 Jabloun MD, Sahli A. 2008. Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia. Agricultural Water Management 95:707-715.   DOI
13 Hargreaves GH, Allen RG. 2003. History and evaluation of Hargreaves evapotranspiration equation. Journal of Irrigation and Drainage Engineering 129:53-63.   DOI
14 Hong EM, Nam WH, Choi JY. 2015. Climate change impacts on agricultural drought for major upland crops using soil moisture model-focused on the Jeollanam-do-. Journal of the Korean Society of Agricultural Engineers 57:65-76. [in Korean]   DOI
15 Hong EM, Nam WH, Choi JY, Pachepsky YA. 2016. Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea. Agricultural Water Management 165:163-180.   DOI
16 Jensen ME, Burman RD, Allen RG. 1990. Evapotranspiration and irrigation water requirements. ASCE Manuals and Reports on Engineering Practice 70.
17 Jeong DI, Kang J. 2009. An analysis of changes in pan evaporation and climate values related to actual evaporation. Journal of Korea Water Resources Association 42:117-129. [in Korean]   DOI
18 Kim D, An H, Jang M, Kim S. 2018. Development of a distributed hydrological model considering hydrological change. Korean Journal of Agricultural Science 45:521-532. [in Korean]   DOI
19 Kim JH, Kim KT. 2005. Estimation of potential evapotranspiration using LAI. Journal of the Korean Association of Geographic Information Studies 8:1-13. [in Korean]
20 Kim S, Kim HS. 2008. The integrational operation method for the modeling of the pan evaporation and the alfalfa reference evapotranspiration. Journal of the Korean Society of Civil Engineers 28:199-213. [in Korean]
21 Lee KH, Park JH. 2008. Calibration of the Hargreaves equation for the reference evapotranspiration estimation on a nation-wide scale. Journal of the Korean Society of Civil Engineers 28:675-681. [in Korean]
22 Kim SJ, Kim MI, Lim CH, Lee WK, Kim BJ. 2017. Applicability analysis of FAO56 Penman-Monteith methodology for estimating potential evapotranspiration in Andong Dam watershed using limited meteorological data. Journal of Climate Change Research 8:125-143. [in Korean]   DOI
23 Lee G, Kim YH. 2017. Estimating the economic value of agricultural water using the virtual water concept. Korean Journal of Agricultural Science 44:636-641. [in Korean]   DOI
24 Lee KH, Cho HY, Oh NS. 2008. Calibration and validation of the Hargreaves equation for the reference evapotranspiration estimation in Gyeonggi bay watershed. Journal of Korea Water Resources Association 41:413-422. [in Korean]   DOI
25 Lopez-Urrea R, de Santa Olalla FM, Fabeiro C, Moratalla A. 2006. Testing evapotranspiration equations using lysimeter observations in a semiarid climate. Agricultural Water Management 85:15-26.   DOI
26 Moon JW, Jung CG, Lee DR. 2013. Parameter regionalization of Hargreaves equation based on climatological characteristics in Korea. Journal of Korea Water Resources Association 46:933-946. [in Korean]   DOI
27 Nam WH, Hong EM, Choi JY. 2015a. Has climate change already affected the spatial distribution and temporal trends of reference evapotranspiration in South Korea? Agricultural Water Management 150:129-138.   DOI
28 Penman HL. 1948. Natural evaporation from open water, bare soil and grass. Proceedings of the Royal Society of London 193:120-146.
29 Nam WH, Hayes MJ, Svoboda MD, Tadesse T, Wilhite DA. 2015b. Drought hazard assessment in the context of climate change for South Korea. Agricultural Water Management 160:106-117.   DOI
30 Nam WH, Kim T, Hong EM, Choi JY. 2017. Regional climate change impacts on irrigation vulnerable season shifts in agricultural water availability for South Korea. Water 9:735.   DOI
31 Pereira LS, Perrier A, Allen RG, Alves I. 1999. Evapotranspiration: Concepts and future trends. Journal of Irrigation and Drainage Engineering 125:45-51.   DOI
32 Pereira LS, Allen RG, Smith M, Raes D. 2015. Crop evapotranspiration estimation with FAO56: Past and future. Agricultural Water Management 147:4-20.   DOI
33 Popova Z, Kercheva M, Pereira LS. 2006. Validation of the FAO methodology for computing ETo with limited data, application to South Bulgaria. Irrigation and Drainage 55:201-215.   DOI
34 Rim CS. 2008. Comparison of evapotranspiration estimation approaches considering grass reference crop. Journal of Korea Water Resources Association 41:212-228. [in Korean]   DOI
35 Rim CS. 2010. Analysis of the spatial distribution of pan evaporation trends. Journal of The Korean Society of Civil Engineers 30:243-255. [in Korean]
36 Rim CS, Lim GH, Yoon SE. 2011. A study on the hydroclimatic effects on the estimation of annual actual evapotranspiration using watershed water balance. Journal of Korea Water Resources Association 44:915-928. [in Korean]   DOI
37 Sentelhas PC, Gillespie TJ, Santos EA. 2010. Evaluation of FAO Penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada. Agricultural Water Management 97:635-644.   DOI
38 Thornthwaite CW. 1948. An approach towards a rational classification of climate. Geographical Review 38:55-94.   DOI
39 Suleiman AA, Hoogenboom G. 2009. A comparison of ASCE and FAO-56 reference evapotranspiration for a 15-min time step in humid climate conditions. Journal of Hydrology 375:326-333.   DOI
40 Temesgen B, Eching S, Davifoof B, Frame K. 2005. Comparison of some reference evapotranspiration equations for California. Journal of Irrigation and Drainage Engineering 131:73-84.   DOI
41 Yun JI, Nam JC, Hong SY, Kim J, Kim KS, Chung U, Chae NY, Choi TJ. 2004. Using spatial data and land surface modeling to monitor evapotranspiration across geographic areas in South Korea. Korean Journal of Agricultural and Forest Meteorology 6:149-163. [in Korean]
42 Allen RG, Pereira LS, Howell TA, Jensen ME. 2011a. Evapotranspiration information reporting: I. Factors governing measurement accuracy. Agricultural Water Management 98:899-920.   DOI
43 Allen RG, Jensen ME, Wright JL, Burman RD. 1989. Operational estimates of reference evapotranspiration. Agronomy Journal 81:650-662.   DOI
44 Allen RG, Pereira LS, Raes D, Smith M. 1998. Crop evapotranspiration-guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. FAO, Roma, Italy.