Integrating temperature gradient-based 3T and resistance-based models for simulating evapotranspiration and its components

蒸散量 能量平衡 环境科学 蒸腾作用 水平衡 温度梯度 焊剂(冶金) 大气科学 蒸发 航程(航空) 辐射 土壤科学 气象学 物理 材料科学 热力学 生态学 化学 地质学 岩土工程 生物 生物化学 光合作用 量子力学 冶金 复合材料
作者
Pei Wang,Dapeng Zhang,Yuhua Xing,Xiaoyan Li,Guoyu Qiu,Xiuchen Wu,Haitao Sun,Yujiu Xiong,Lixin Wang
出处
期刊:Journal of Hydrology [Elsevier BV]
卷期号:620: 129459-129459 被引量:1
标识
DOI:10.1016/j.jhydrol.2023.129459
摘要

The accurate estimation of evapotranspiration (ET) and its major components [e.g., transpiration (Tr) and soil evaporation (Ev)] requires an understanding of complex soil–plant-atmosphere interactions. The temperature gradient-based three temperature (3T) model for simulating the dynamics of Ev and Tr has no requirement for resistance terms and its use of simple input variables (i.e., temperature and radiation) allows its application to both field studies and remote sensing. However, reference temperature is a key requirement for the 3T model and approaches for obtaining accurate reference temperature and the implications of different reference temperature choices on ET estimates remain poorly understood. This study improved a resistance-based model applicable to a wide range of climatic/ecosystem conditions and integrated it with the 3T model to predict ET and Tr. A novel numerical approach was used to estimate the reference temperature under dry land surface scenarios. The two models provided similar predictions of Ev, Tr, and ET at the four sites provided that the available energy for the canopy (e.g., net radiation) and ground soil (e.g., net radiation and ground heat flux) was constrained within the framework of the energy balance. Alternatively, the accuracy of simulations of Ev and ET by the 3T model significantly declined due to systematic mismatching of input drivers (temperature and radiation) under dry and wet scenarios. We emphasize that 3T is working better when input temperature and radiation under dry and wet land conditions were systematically matched within the framework of energy balance. The results of this study provide a promising novel temperature-gradient method for detecting canopy water stress.
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