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A monthly regression correction model for the Hargreaves–Samani method in Mainland China
Irrigation and Drainage ( IF 1.6 ) Pub Date : 2020-04-07 , DOI: 10.1002/ird.2445
Xingsheng Xia 1, 2 , Xiufang Zhu 2, 3 , Yaozhong Pan 1, 2 , Jinshui Zhang 2, 3
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Reference crop evapotranspiration (ET0) is an important parameter for irrigation engineering. It can be calculated using the Penman–Monteith method (PM), which results in ET0‐PM. This study uses ET0‐PM to determine the availability of a monthly linear regression correction model for the Hargreaves–Samani method (HG). The data were obtained from 647 meteorological stations in mainland China, which are contained within the data set of monthly values of climate data from Chinese surface stations. For most stations, the correlation coefficient of ET0‐PM and ET0‐HG (determined by the HG method) ranges from 0.5 to 1.0. This provides the necessary conditions for the monthly linear regression correction of ET0‐HG. The mean relative change of the mean absolute error before and after the ET0‐HG correction for each year indicates that the scheme adopted in this study yields improved correction results during autumn, winter and spring in mainland China and poor results during summer. However, the monthly regression correction model for the HG is only available for part of the stations in each season. This study supplements a case for the larger‐scale ET0‐HG monthly regression correction. This can be a reference for the further refinement of the ET0‐HG spatio‐temporal correction © 2020 John Wiley & Sons, Ltd.
更新日期:2020-04-07
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