Estimation of Evapotranspiration of Amazon Rainforest Using the Maximum Entropy Production Method
Estimation of Evapotranspiration of Amazon Rainforest Using the Maximum Entropy Production Method
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DOI：
10.1029/2018gl080907
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发表时间：
2019-02
影响因子：
5.2
通讯作者：
Donghui Xu;E. Agee;Jingfeng Wang;V. Ivanov
中科院分区：
文献类型：
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作者：
Donghui Xu;E. Agee;Jingfeng Wang;V. Ivanov
亚马逊森林的能量收支对区域和全球气候有很大的影响，但相关数据很少。应用基于最大熵产生（MEP）理论的能量划分方法对亚马逊河流域蒸散进行了模拟。使用站点级涡动通量数据，MEP方法在小时、日和月尺度上显示出很高的技能。在不同的地表干燥程度下表现一致，暗示干旱信号得到了适当的解决。基于站点MEP的估计值优于中分辨率成像光谱仪蒸散产品的估计值，后者通常用于大规模评估。在亚马逊流域尺度上，这两个系列产生类似的平均值，但表现出空间差异。MEP方法的参数简约性和表现出的技巧使其成为具有不同水通量控制策略的环境的有吸引力的方法。
Energy budget of Amazonian forests has a large influence on regional and global climate, but relevant data are scarce. A novel energy partition method based on the maximum entropy production (MEP) theory is applied to simulate evapotranspiration in Amazonia. Using site‐level eddy flux data, the MEP method shows high skill at the hourly, daily, and monthly scales. Consistent performance under different levels of land surface dryness is revealed, hinting that drought signal is appropriately resolved. The site‐level MEP‐based estimates outperform the estimates of the Moderate Resolution Imaging Spectroradiometer evapotranspiration product, which is commonly used for large‐scale assessments. At the Amazon basin scale, the two series yield similar averages but exhibit spatial differences. The parameter parsimony and demonstrated skill of the MEP method make it an attractive approach for environments with diverse strategies of water flux control.