Articles | Volume 20, issue 2
https://doi.org/10.5194/hess-20-803-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-803-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Feb 2016
Research article |
| 23 Feb 2016
The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms
D. Michel
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
C. Jiménez
Estellus, Paris, France
LERMA, Paris Observatory, Paris, France
D. G. Miralles
Department of Earth Sciences, VU University Amsterdam, Amsterdam, the Netherlands
Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
M. Jung
Max Planck Institute for Biogeochemistry, Jena, Germany
M. Hirschi
Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
A. Ershadi
Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
B. Martens
Laboratory of Hydrology and Water Management, Ghent University, Ghent, Belgium
M. F. McCabe
Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
J. B. Fisher
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Q. Mu
Department of Ecosystem and Conservation Sciences, University of Montana, Missoula, Montana, USA
S. I. Seneviratne
Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
E. F. Wood
Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USA
D. Fernández-Prieto
ESRIN, European Space Agency, Frascati, Italy
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Latest update: 08 Nov 2025
Short summary
In this study a common reference input data set from satellite and in situ data is used to run four established evapotranspiration (ET) algorithms using sub-daily and daily input on a tower scale as a testbed for a global ET product. The PT-JPL model and GLEAM provide the best performance for satellite and in situ forcing as well as for the different temporal resolutions. PM-MOD and SEBS perform less well: the PM-MOD model generally underestimates, while SEBS generally overestimates ET.
In this study a common reference input data set from satellite and in situ data is used to run...
