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Simplified SEBAL method for estimating vast areal evapotranspiration with MODIS data

Simplified SEBAL method for estimating vast areal evapotranspiration with MODIS data

作     者:Xiao-chun ZHANG Jing-wei WU Hua-yi WU Yong LI 

作者机构:State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 P. R. China State Key Laboratory of Water Resources and Hydropower Engineering Science Wuhan University Wuhan 430070 R R. China School of Earth Sciences and Engineering Hohai University Nanjing 210098 R R. China 

出 版 物:《Water Science and Engineering》 (水科学与水工程(英文版))

年 卷 期:2011年第4卷第1期

页      面:24-35页

核心收录:

学科分类:0820[工学-石油与天然气工程] 083002[工学-环境工程] 0830[工学-环境科学与工程(可授工学、理学、农学学位)] 08[工学] 09[农学] 0804[工学-仪器科学与技术] 0903[农学-农业资源与环境] 0816[工学-测绘科学与技术] 081602[工学-摄影测量与遥感] 082002[工学-油气田开发工程] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 

基  金:supported by the National Natural Science Foundation of China (Grant No. 50809050) the Fundamental Research Funds for the Central Universities (Grant No. 2101024) 

主  题:evapotranspiration SEBAL model MOD1S, remote sensing sensible heat flux Haihe Basin 

摘      要:The SEBAL (surface energy balance algorithm for land) model provides an efficient tool for estimating the spatial distribution of evapotranspiration, and performs a simple adjustment procedure to calculate sensible heat flux using the wind speed data set from only one weather station. This paper proposes a simplified method to modify the traditional SEBAL model for calculating the 24-hour evapotranspiration ( ETduly ) in the Haihe Basin with data from 34 weather stations. We interpolated the wind speeds using the inverse distance weighting method to establish a wind field and then used it to calculate the friction velocity directly. This process also simplifies the iterative computation process of sensible heat flux. To validate the feasibility of this simplified method, we compared the results with those obtained with an appropriate but more complex method proposed by Tasumi, which separates a vast area into several sub-areas based on the weather conditions, and runs the SEBAL model separately in each sub-area. The results show good agreement between the evapotranspiration generated by the two methods, with a coefficient of determination (r2) of 0.966, which indicates the feasibility of estimating evapotranspiration over a large region with the simplified method.

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