The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms
The WAter Cycle Multi-mission Observation Strategy – EvapoTranspiration (WACMOS-ET) project has compiled a forcing data set covering the period 2005–2007 that aims to maximize the exploitation of European Earth Observations data sets for evapotranspiration (ET) estimation. The da...
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doaj-5cb838ac96774fe298fb39a499f3a7b12020-11-24T23:07:18ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382016-02-0120280382210.5194/hess-20-803-2016The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithmsD. Michel0C. Jiménez1D. G. Miralles2M. Jung3M. Hirschi4A. Ershadi5B. Martens6M. F. McCabe7J. B. Fisher8Q. Mu9S. I. Seneviratne10E. F. Wood11D. Fernández-Prieto12Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, SwitzerlandEstellus, Paris, FranceDepartment of Earth Sciences, VU University Amsterdam, Amsterdam, the NetherlandsMax Planck Institute for Biogeochemistry, Jena, GermanyInstitute for Atmospheric and Climate Science, ETH Zürich, Zürich, SwitzerlandDivision of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaLaboratory of Hydrology and Water Management, Ghent University, Ghent, BelgiumDivision of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USADepartment of Ecosystem and Conservation Sciences, University of Montana, Missoula, Montana, USAInstitute for Atmospheric and Climate Science, ETH Zürich, Zürich, SwitzerlandDepartment of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USAESRIN, European Space Agency, Frascati, ItalyThe WAter Cycle Multi-mission Observation Strategy – EvapoTranspiration (WACMOS-ET) project has compiled a forcing data set covering the period 2005–2007 that aims to maximize the exploitation of European Earth Observations data sets for evapotranspiration (ET) estimation. The data set was used to run four established ET algorithms: the Priestley–Taylor Jet Propulsion Laboratory model (PT-JPL), the Penman–Monteith algorithm from the MODerate resolution Imaging Spectroradiometer (MODIS) evaporation product (PM-MOD), the Surface Energy Balance System (SEBS) and the Global Land Evaporation Amsterdam Model (GLEAM). In addition, in situ meteorological data from 24 FLUXNET towers were used to force the models, with results from both forcing sets compared to tower-based flux observations. Model performance was assessed on several timescales using both sub-daily and daily forcings. The PT-JPL model and GLEAM provide the best performance for both satellite- and tower-based forcing as well as for the considered temporal resolutions. Simulations using the PM-MOD were mostly underestimated, while the SEBS performance was characterized by a systematic overestimation. In general, all four algorithms produce the best results in wet and moderately wet climate regimes. In dry regimes, the correlation and the absolute agreement with the reference tower ET observations were consistently lower. While ET derived with in situ forcing data agrees best with the tower measurements (<i>R</i><sup>2</sup> = 0.67), the agreement of the satellite-based ET estimates is only marginally lower (<i>R</i><sup>2</sup> = 0.58). Results also show similar model performance at daily and sub-daily (3-hourly) resolutions. Overall, our validation experiments against in situ measurements indicate that there is no single best-performing algorithm across all biome and forcing types. An extension of the evaluation to a larger selection of 85 towers (model inputs resampled to a common grid to facilitate global estimates) confirmed the original findings.http://www.hydrol-earth-syst-sci.net/20/803/2016/hess-20-803-2016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
D. Michel C. Jiménez D. G. Miralles M. Jung M. Hirschi A. Ershadi B. Martens M. F. McCabe J. B. Fisher Q. Mu S. I. Seneviratne E. F. Wood D. Fernández-Prieto |
spellingShingle |
D. Michel C. Jiménez D. G. Miralles M. Jung M. Hirschi A. Ershadi B. Martens M. F. McCabe J. B. Fisher Q. Mu S. I. Seneviratne E. F. Wood D. Fernández-Prieto The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms Hydrology and Earth System Sciences |
author_facet |
D. Michel C. Jiménez D. G. Miralles M. Jung M. Hirschi A. Ershadi B. Martens M. F. McCabe J. B. Fisher Q. Mu S. I. Seneviratne E. F. Wood D. Fernández-Prieto |
author_sort |
D. Michel |
title |
The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms |
title_short |
The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms |
title_full |
The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms |
title_fullStr |
The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms |
title_full_unstemmed |
The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms |
title_sort |
wacmos-et project – part 1: tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms |
publisher |
Copernicus Publications |
series |
Hydrology and Earth System Sciences |
issn |
1027-5606 1607-7938 |
publishDate |
2016-02-01 |
description |
The WAter Cycle Multi-mission Observation Strategy – EvapoTranspiration (WACMOS-ET) project has compiled a forcing data set covering the
period 2005–2007 that aims to maximize the exploitation of European
Earth Observations data sets for evapotranspiration (ET)
estimation. The data set was used to run four established ET algorithms:
the Priestley–Taylor Jet Propulsion Laboratory model (PT-JPL), the
Penman–Monteith algorithm from the MODerate resolution Imaging Spectroradiometer (MODIS) evaporation product (PM-MOD),
the Surface Energy Balance System (SEBS) and the Global Land
Evaporation Amsterdam Model (GLEAM). In addition, in situ
meteorological data from 24 FLUXNET towers were used to force the
models, with results from both forcing sets compared to tower-based
flux observations. Model performance was assessed on several timescales using both sub-daily and daily forcings. The PT-JPL model and
GLEAM provide the best performance for both satellite- and tower-based
forcing as well as for the considered temporal
resolutions. Simulations using the PM-MOD were mostly underestimated,
while the SEBS performance was characterized by a systematic
overestimation. In general, all four algorithms produce the best
results in wet and moderately wet climate regimes. In dry regimes, the
correlation and the absolute agreement with the reference tower ET
observations were consistently lower. While ET derived with in situ
forcing data agrees best with the tower measurements (<i>R</i><sup>2</sup> = 0.67),
the agreement of the satellite-based ET estimates is only marginally
lower (<i>R</i><sup>2</sup> = 0.58). Results also show similar model performance at
daily and sub-daily (3-hourly) resolutions. Overall, our validation
experiments against in situ measurements indicate that there is no
single best-performing algorithm across all biome and forcing
types. An extension of the evaluation to a larger selection of 85 towers
(model inputs resampled to a common grid to facilitate global
estimates) confirmed the original findings. |
url |
http://www.hydrol-earth-syst-sci.net/20/803/2016/hess-20-803-2016.pdf |
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