Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Beijing, China; University of Chinese Academy of Sciences, 100049 Beijing, China.
Sci Total Environ. 2022 Aug 15;834:155327. doi: 10.1016/j.scitotenv.2022.155327. Epub 2022 Apr 18.
Accurate simulation of evapotranspiration is of substantial importance to hydrology, ecology, agriculture, and water resources management. Evapotranspiration is equal to the fraction of potential evapotranspiration (PET) constrained by soil water. PET can be calculated from meteorological observations with a wide global distribution and high density. However, it is necessary to determine how to accurately simulate daily evapotranspiration through PET. We have developed a non-linear function for simulating evapotranspiration through PET constrained by soil water at daily scale. The evaluation results show that the accuracy of the evapotranspiration simulation using the non-linear function was higher than that of linear relations and complementary relationship (CR) methods. In the temperature-based PET equations, the Hargreaves-Samani equation was the closest to the Penman-Monteith calculation values. The simulation accuracy of the CR methods obviously improved after parameter calibration. The accuracy has a large variability at the global scale. Daily evapotranspiration can be simulated with PET data in some regions with a high accuracy (Nash and Sutcliffe efficiency coefficient > 0.60), including most regions of Eurasia, eastern and southern North America, and northern South America. However, other regions showed a poor performance (Nash and Sutcliffe efficiency coefficient < 0.20), including western North America, the Mediterranean region, and the eastern and western coastal regions of Australia. Our results indicate that the accurate simulation of daily evapotranspiration can be achieved based on meteorological data in most regions of the world. Owing to the wide distribution of global meteorological observations, the accurate simulation of the daily evapotranspiration method proposed in this study can be applied in other regions across the globe.
准确模拟蒸散量对于水文学、生态学、农业和水资源管理具有重要意义。蒸散量等于受土壤水分限制的潜在蒸散量 (PET) 的分数。可以通过具有广泛全球分布和高密度的气象观测来计算 PET。然而,有必要确定如何通过 PET 准确模拟日蒸散量。我们开发了一种用于模拟受土壤水分限制的每日 PET 蒸散量的非线性函数。评估结果表明,该非线性函数模拟蒸散量的精度高于线性关系和互补关系 (CR) 方法。在基于温度的 PET 方程中,Hargreaves-Samani 方程最接近 Penman-Monteith 计算值。经过参数校准后,CR 方法的模拟精度明显提高。在全球范围内,精度具有很大的可变性。在某些地区,PET 数据可以高精度地模拟日蒸散量(纳什效率系数和苏特克里夫效率系数>0.60),包括欧亚大陆大部分地区、北美东部和南部以及南美北部。然而,其他地区的表现较差(纳什效率系数和苏特克里夫效率系数<0.20),包括北美西部、地中海地区以及澳大利亚东部和西部沿海地区。我们的结果表明,基于气象数据可以在世界上大多数地区实现日蒸散量的准确模拟。由于全球气象观测的广泛分布,本研究提出的日蒸散量准确模拟方法可以应用于全球其他地区。