Applicability of reference crop evapotranspiration calculation based on Hargreaves-Samani regression correction
Received date: 2022-04-01
Revised date: 2022-05-13
Online published: 2023-02-01
The Hargreaves-Samani (H-S) model for calculating reference crop evapotranspiration (ET0) was regressed and corrected using daily meteorological data from 128 meteorological stations in the Northwest Yellow River Basin and the middle and lower reaches of the Yangtze River from 1961, 1981, to 2010. The calculation accuracy of the H-S upgraded model H-SCORR model was evaluated using site data from 2011 to 2020 and the Penman-Monteith model was used as the reference. The ACCESS-CM2 model and the future test scenario SSP2-4.5 are also used to assess the H-SCORR model’s future adaptability as part of the Sixth International Coupling Model Comparison Program (CMIP6) climate simulation experiment. The results show that the mean absolute error (MAE) of the four subdomains in the middle and lower reaches of the Yangtze River decreases from 2.58-24.28 mm to 1.53-7.99 mm per month after correction, and the root mean square error (RMSE) per month decreases from 3.22-24.56 mm to 1.96-9.27 mm during the validation period. Monthly, both MAE and RMSE decrease by 6.21 mm and 6.38 mm, respectively. The MAE of the four subregions of the Northwest Yellow River Basin decreases from 2.51-34.1 mm per month to 1.11-8.94 mm per month, and the RMSE decreases from 3.02-34.58 mm to 1.43-10.46 mm per month. MAE and RMSE monthly averages decrease by 9.26 mm and 9.23 mm, respectively. Most months in the two study areas have a coefficient of determination (R2) greater than 0.9, whereas a few months have an R2 greater than 0.8, and the corrected R2 value is at least 1% higher than before the correction. The R2 values in the CMIP6 climate model’s future climate scenarios are greater than 0.98, showing strong adaptability. Therefore, the H-SCORR model’s performance in the Northwest Yellow River Basin, as well as the middle and lower reaches of the Yangtze River, is improved; it can now better simulate the seasonal cycle and long-term trend of ET0, as well as improve the accuracy of reference crop evapotranspiration calculations.
Yinghao FU , Xiaojing SHEN , Wangcheng LI , Xu WU , Qingqing ZHANG . Applicability of reference crop evapotranspiration calculation based on Hargreaves-Samani regression correction[J]. Arid Land Geography, 2022 , 45(6) : 1752 -1760 . DOI: 10.12118/j.issn.1000-6060.2022.133
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