Global canopy rainfall interception loss derived from satellite earth observations
Global canopy rainfall interception loss derived from satellite earth observations
复制标题
来自卫星地球观测的全球冠层降雨拦截损失
DOI：
10.1002/eco.2186
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发表时间：
2020-01
期刊：
影响因子：
2.6
通讯作者：
Jia Li
中科院分区：
文献类型：
--
作者：
Zheng Chaolei;Jia Li
关于全球林冠降雨截留损失的信息对于了解陆面过程和水循环的动态至关重要。此外，这一因素的全球变化仍存在很大的不确定性。卫星对地观测的发展为估算全球降雨截留损失揭示其时空变化提供了很好的机会。在本研究中，Gash分析模型被改编并应用于估计2001年至2015年的全球降雨截留损失，基于卫星遥感产品，例如，总降雨量和降雨率以及叶面积指数。采用道尔顿型方程估算湿冠层蒸发速率。基于道尔顿型方程的估算结果表明，在估算的降雨截留损失及其占总降雨量的比例方面，与经典的Penman-Monteith方程相比，与地面观测结果的吻合程度更好。全球降雨截留损失的空间差异很大，高值出现在植被覆盖密集和总降雨量高的地区，如热带雨林，而高降雨截留与总降雨量的比率出现在低降雨率和高植被覆盖的地区。这项研究是在地球观测产品的基础上了解全球水文循环的一个重要步骤。
Information on global canopy rainfall interception loss is essential for understanding the dynamics of land surface processes and the water cycle. In addition, large uncertainty remains regarding the global variation in this factor. The development of satellite earth observations has provided a great opportunity for the estimation of global rainfall interception loss to reveal the spatiotemporal variations. In the current study, the analytical Gash model was adapted and applied to estimate global rainfall interception loss from 2001 to 2015 on the basis of satellite remote‐sensing products, for example, gross rainfall amount and rate and leaf area index. The Dalton‐type equation was adopted to estimate the wet canopy evaporation rate in the revised Gash model. The estimation on the basis of the Dalton‐type equation showed better agreement with the ground observations than the classical Penman–Monteith equation in terms of estimated rainfall interception loss and its ratio to gross rainfall. Large spatial variations in global rainfall interception loss were found, and high values appeared in the regions with dense vegetation cover and high gross rainfall amounts, for example, tropical rainforests, whereas high rainfall interception to gross rainfall ratios occurred in the regions with low rain rates and high vegetation cover. This study constitutes a significant step forward in understanding global hydrological cycle on the basis of earth observation products.
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