A monthly regression correction model for the Hargreaves–Samani method in Mainland China,Irrigation and Drainage

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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}

Affiliation

Reference crop evapotranspiration (ET₀) is an important parameter for irrigation engineering. It can be calculated using the Penman–Monteith method (PM), which results in ET_0‐PM. This study uses ET_0‐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 ET_0‐PM and ET_0‐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 ET_0‐HG. The mean relative change of the mean absolute error before and after the ET_0‐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 ET_0‐HG monthly regression correction. This can be a reference for the further refinement of the ET_0‐HG spatio‐temporal correction © 2020 John Wiley & Sons, Ltd.

更新日期：2020-04-07

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