Title: Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method
Authors: YAO YUNJUNLIANG SHUNLINLI XIANGLANZHANG YUHUCHEN JIQUANJIA KUNZHANG XIAOTONGFISHER JOSHUAWANG XUANYUZHANG LILINXU JIASHAO CHANGLIANGPOSSE GABRIELALI YINGNIANMAGLIULO VINZENZOVARLAGIN ANDREJMOORS EDDYBOIKE JULIAMACFARLANE CRAIGKATO TOMOMICHIBUCHMANN NINABILLESBACH D.P.BERINGER JASONWOLF SEBASTIANPAPUGA SHIRLEY A.WOHLFAHRT G.MONTAGNANI LEONARDOARDO JONASPAUL-LIMOGES EUGENIEEMMEL CARMENHÖRTNAGL LUKASSACHS T.GRUENING CARSTENGIOLI B.LÓPEZ-BALLESTEROS ANASTEINBRECHER RAINERGIELEN BERT
Citation: JOURNAL OF HYDROLOGY vol. 553 p. 508-526
Publisher: ELSEVIER SCIENCE BV
Publication Year: 2017
JRC N°: JRC107765
ISSN: 0022-1694
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC107765
DOI: 10.1016/j.jhydrol.2017.08.013
Type: Articles in periodicals and books
Abstract: Estimation of high-resolution terrestrial evapotranspiration (ET) from Landsat data is important in many climatic, hydrologic, and agricultural applications, as it can help bridging the gap between existing coarse-resolution ET products and point-based field measurements. However, there is large uncertainty among existing ET products from Landsat that limit their application. This study presents a simple Taylor skill fusion (STS) method that merges five Landsat-based ET products and directly measured ET from eddy covariance (EC) to improve the global estimation of terrestrial ET. The STS method uses a weighted average of the individual ET products and weights are determined by their Taylor skill scores (S). The validation with site-scale measurements at 206 EC flux towers showed large differences and uncertainties among the five ET products. The merged ET product exhibited the best performance with a decrease in the averaged root-mean-square error (RMSE) by 2-5 W/m2 when compared to the individual products. To evaluate the reliability of the STS method at the regional scale, the weights of the STS method for these five ET products were determined using EC ground-measurements. An example of regional ET mapping demonstrates that the STS-merged ET can effectively integrate the individual Landsat ET products. Our proposed method provides an improved high-resolution ET product for identifying agricultural crop water consumption and providing a diagnostic assessment for global land surface models.
JRC Directorate:Energy, Transport and Climate

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