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http://dx.doi.org/10.3741/JKWRA.2018.51.3.273

Estimation of the optimal evapotranspiration by using satellite- and reanalysis model-based evapotranspiration estimations  

Baik, Jongjin (Center for Built Environment, Sungkyunkwan University)
Jeong, Jaehwan (Department of Water Resources, Graduate School of Water Resources, Sungkyunkwan University)
Choi, Minha (Department of Water Resources, Graduate School of Water Resources, Sungkyunkwan University)
Publication Information
Journal of Korea Water Resources Association / v.51, no.3, 2018 , pp. 273-280 More about this Journal
Abstract
Accurate estimation of evapotranspiration is mightily important for understanding and analyzing the hydrological cycle. There are various methods for estimating evapotranspiration and each method has its own advantages and limitations. Therefore, it is necessary to develop an optimal evapotranspiration product by combing different evapotranspiration products. In this study, we developed an optimal evapotranspiration by fusing two satellite- and model-based evapotranspiration estimates, including revised remote sensing-based Penman-Monteith (RS-PM) and Modified Satellite-Based Priestley-Taylor (MS-PT) methods, Global Land Data Assimilation System (GLDAS), and Global Land Evaporation Amsterdam Model (GLEAM). The statistical analysis (i.e., correlation coefficients, index of agreement, MAE, and RMSE) of combined evapotranspiration product showed to be improved compared to the individual model results. After confirming the overall results, in future studies, advanced data fusion techniques will be used to obtained improved results.
Keywords
Revised RS-PM; MS-PT; GLDAS; GLEAM; Evapotranspiration;
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Times Cited By KSCI : 7  (Citation Analysis)
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