How Ångström–Prescott Coefficients Alter the Estimation of Agricultural Water Demand in South Korea

Abstract

The Food and Agriculture Organization (FAO) Penman–Monteith equation, recognized as the standard method for the estimation of reference crop evapotranspiration (ET0), requires many meteorological inputs. The Ångström–Prescott (A-P) formula containing parameters (i.e., a and b) is recommended to determine global solar radiation, one of the essential meteorological inputs, but may result in a considerable difference in ET0 estimation. This study explored the effects of A-P coefficients not only on the estimation of ET0, but also on the irrigation water requirement (IWR) and design water requirement (DWR) for paddy rice cultivation, which is the largest consumer of agricultural water in South Korea. We compared and analyzed the estimates of ET0, IWR, and DWR using the recommended (a = 0.25 and b = 0.5) and locally calibrated A-P coefficients in 16 locations of South Korea. The estimation of ET0 using the recommended A-P coefficients produced significant overestimation. The overestimation ranged from 3.8% to 14.0% across the 16 locations as compared to the estimates using the locally calibrated A-P coefficients, and the average overestimation was 10.0%. The overestimation of ET0 corresponded to a variation of 1.7% to 7.2% in the overestimation of the mean annual IWR, and the average overestimation of the IWR was 5.1%. On average, the overestimation was slightly reduced to 4.8% in DWR estimation, since the effect of A-P coefficients on the IWR estimation decreased as the IWR increased. This study demonstrates how the use of A-P coefficients can alter the estimation of ET0, IWR, and DWR in South Korea, which underscores the importance of their proper consideration in agricultural water management.

Calibration of Ångström-Prescott Coefficients to Estimate Global Solar Radiation in Côte d’Ivoire

“…Information on solar radiation on the Earth's surface is required in many applications including agriculture, hydrology, meteorology, climatology, architecture, active and passive solar energy systems, and photovoltaic electricity production systems (Medeiros et al, 2017;Liu et al, 2009;Ishola, 2018;Girma, 2017;Jeong et al, 2018). The amount of global solar radiation received on a surface depends on numerous factors such as the altitude of the sun, the clearness index, the slope and the latitude of an area.…”