Evaluation of GCOM-C ET index Estimation Algorithm at a Lodgepole Pine Tree Open Forest in Idaho, USA
Evaluation of GCOM-C ET index Estimation Algorithm at a Lodgepole Pine Tree Open Forest in Idaho, USA
复制标题
美国爱达荷州黑松树开放森林中 GCOM-C ET 指数估计算法的评估
DOI：
10.7132/jrcsa.24_1_9
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
S. Takeshita
中科院分区：
文献类型：
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作者：
Asep Denih;Akira Maeda;M. Tasumi;Yoshinori Shinohara;S. Takeshita
这项研究试图使用爱达荷州EPSCoR计划提供的数据集来评估GCOM-C ETindex估计算法在美国爱达荷州东部的一片松树疏林中的性能。作为研究的局限性，通量测量中的能量平衡闭合问题是涡动协方差系统通量测量中的一个典型问题，阻碍了对ET估计精度的稳健、定量的评估。在此限制下，结果表明，在研究区域的条件下，估计算法高估了ET值，尤其是在夏季。高估的一个可能原因是，该算法高估了一年中除冬季以外的大部分时间的地表湿度。评估结果为进一步改进估计算法提供了有价值的信息。进一步调查天气和通量情况，包括使用其他数据，如闪烁仪测量的通量数据，可能会减少测量通量数据的不确定性。
This study attempted to evaluate the performance of the GCOM-C ETindex estimation algorithm at a lodgepole pine tree open forest in eastern Idaho, United States using a dataset provided by the Idaho EPSCoR program. As a limitation of the study, the energy balance closure problem in flux measurement, which is a typical problem in flux measurements by eddy covariance systems, prevented a robust, quantitative evaluation of the ET estimation accuracy. Under this limitation, the results indicated that the estimation algorithm overestimated ET in the conditions of the study area, especially during summer time. One possible reason for the overestimation was that the algorithm overestimated surface wetness over most of the year, except in winter. The results of this evaluation provide valuable information for future improvement of the estimation algorithm. Further investigation of the weather and flux conditions, including the use of additional data such as scintillometer-measured flux data, might reduce uncertainty in the measured flux data.