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Long-term relative decline in evapotranspiration with increasing runoff on fractional land surfaces

机译:随着分数陆地越来越多的径流越来越多的蒸馏而相对下降

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Evapotranspiration (ET) accompanied by water and heat transport in the hydrological cycle is a key component in regulating surface aridity. Existing studies documenting changes in surface aridity have typically estimated ET using semi-empirical equations or parameterizations of land surface processes, which are based on the assumption that the parameters in the equation are stationary. However, plant physiological effects and its responses to a changing environment are dynamically modifying ET, thereby challenging this assumption and limiting the estimation of long-term ET. In this study, the latent heat flux (ET in energy units) and sensible heat flux were retrieved for recent decades on a global scale using a machine learning approach and driven by ground observations from flux towers and weather stations. This study resulted in several findings; for example, the evaporative fraction (EF) – the ratio of latent heat flux to available surface energy – exhibited a relatively decreasing trend on fractional land surfaces. In particular, the decrease in EF was accompanied by an increase in long-term runoff as assessed by precipitation ( P ) minus ET, accounting for 27.06?% of the global land areas. The signs are indicative of reduced surface conductance, which further emphasizes that surface vegetation has major impacts in regulating water and energy cycles, as well as aridity variability.
机译:水文循环中伴有水和热输送的蒸散(ET)是调节表面炎症的关键组分。现有的研究文献中的表面炎的变化通常使用半经验方程或陆地表面过程的参数来估计ET,其基于所述等式中的参数静止的假设。然而,植物生理效应及其对变化环境的响应是动态修改的,从而挑战这种假设并限制了长期ET的估计。在这项研究中,近几十年来使用机器学习方法并由来自焊剂塔和气象站的地面观察驱动的全球范围来检索潜热通量(ET处于能量单位)和明智的热通量。这项研究导致了几种结果;例如,蒸发级分(EF) - 潜热通量与可用表面能的比率 - 在分数陆地表面上表现出相对减少的趋势。特别是,EF的减少伴随着由降水量评估的长期径流增加(P)减去ET,占全球土地地区的27.06份。标志表明表面电导降低,这进一步强调了表面植被在调节水和能量循环中具有重大影响,以及干旱的变化。

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