The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms

Handle URI:
http://hdl.handle.net/10754/617318
Title:
The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms
Authors:
Michel, D.; Jiménez, C.; Miralles, D. G. ( 0000-0001-6186-5751 ) ; Jung, M.; Hirschi, M.; Ershadi, A.; Martens, B.; McCabe, Matthew ( 0000-0002-1279-5272 ) ; Fisher, J. B.; Mu, Q.; Seneviratne, S. I.; Wood, E. F.; Fernández-Prieto, D.
Abstract:
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.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division
Citation:
The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms 2016, 20 (2):803 Hydrology and Earth System Sciences
Publisher:
Copernicus GmbH
Journal:
Hydrology and Earth System Sciences
Issue Date:
23-Feb-2016
DOI:
10.5194/hess-20-803-2016
Type:
Article
ISSN:
1607-7938
Sponsors:
This study was funded by the European Space Agency (ESA) and conducted as part of the project WACMOS-ET (Contract no. 4000106711/12/I-NB). D. G. Miralles acknowledges the financial support from the Netherlands Organization for Scientific Research through grant 863.14.004 and the Belgian Science Policy Office (BELSPO) in the framework of the STEREO III programme, project SAT-EX (SR/00/306). M. F. McCabe and A. Ershadi acknowledge the support of the King Abdullah University of Science and Technology. The SEBS team is acknowledged for facilitating discussions concerning the implementation of their model. This work used eddy-covariance data acquired by the FLUXNET community and in particular by the following networks: AmeriFlux (US Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program, DE-FG02- 04ER63917 and DE-FG02-04ER63911), AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada (supported by CFCAS, NSERC, BIOCAP, Envi- ronment Canada and NRCan), GreenGrass, KoFlux, LBA, NECC, OzFlux, TCOS-Siberia and USCCC. Data and logistical support for the station US-Wrc were provided by the US Forest Service Pacific Northwest Research Station. All WACMOS-ET forcing data and ET estimates are publicly available and can be requested through the project website (http://wacmoset.estellus.eu).
Additional Links:
http://www.hydrol-earth-syst-sci.net/20/803/2016/
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Articles

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DC FieldValue Language
dc.contributor.authorMichel, D.en
dc.contributor.authorJiménez, C.en
dc.contributor.authorMiralles, D. G.en
dc.contributor.authorJung, M.en
dc.contributor.authorHirschi, M.en
dc.contributor.authorErshadi, A.en
dc.contributor.authorMartens, B.en
dc.contributor.authorMcCabe, Matthewen
dc.contributor.authorFisher, J. B.en
dc.contributor.authorMu, Q.en
dc.contributor.authorSeneviratne, S. I.en
dc.contributor.authorWood, E. F.en
dc.contributor.authorFernández-Prieto, D.en
dc.date.accessioned2016-07-21T11:02:29Z-
dc.date.available2016-07-21T11:02:29Z-
dc.date.issued2016-02-23-
dc.identifier.citationThe WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms 2016, 20 (2):803 Hydrology and Earth System Sciencesen
dc.identifier.issn1607-7938-
dc.identifier.doi10.5194/hess-20-803-2016-
dc.identifier.urihttp://hdl.handle.net/10754/617318-
dc.description.abstractThe 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.en
dc.description.sponsorshipThis study was funded by the European Space Agency (ESA) and conducted as part of the project WACMOS-ET (Contract no. 4000106711/12/I-NB). D. G. Miralles acknowledges the financial support from the Netherlands Organization for Scientific Research through grant 863.14.004 and the Belgian Science Policy Office (BELSPO) in the framework of the STEREO III programme, project SAT-EX (SR/00/306). M. F. McCabe and A. Ershadi acknowledge the support of the King Abdullah University of Science and Technology. The SEBS team is acknowledged for facilitating discussions concerning the implementation of their model. This work used eddy-covariance data acquired by the FLUXNET community and in particular by the following networks: AmeriFlux (US Department of Energy, Biological and Environmental Research, Terrestrial Carbon Program, DE-FG02- 04ER63917 and DE-FG02-04ER63911), AfriFlux, AsiaFlux, CarboAfrica, CarboEuropeIP, CarboItaly, CarboMont, ChinaFlux, Fluxnet-Canada (supported by CFCAS, NSERC, BIOCAP, Envi- ronment Canada and NRCan), GreenGrass, KoFlux, LBA, NECC, OzFlux, TCOS-Siberia and USCCC. Data and logistical support for the station US-Wrc were provided by the US Forest Service Pacific Northwest Research Station. All WACMOS-ET forcing data and ET estimates are publicly available and can be requested through the project website (http://wacmoset.estellus.eu).en
dc.language.isoenen
dc.publisherCopernicus GmbHen
dc.relation.urlhttp://www.hydrol-earth-syst-sci.net/20/803/2016/en
dc.rightsArchived with thanks to Hydrology and Earth System Sciences. This work is distributed under the Creative Commons Attribution 3.0 License.en
dc.titleThe WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithmsen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.identifier.journalHydrology and Earth System Sciencesen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionInstitute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerlanden
dc.contributor.institutionEstellus, Paris, Franceen
dc.contributor.institutionLERMA, Paris Observatory, Paris, Franceen
dc.contributor.institutionDepartment of Earth Sciences, VU University Amsterdam, Amsterdam, the Netherlandsen
dc.contributor.institutionLaboratory of Hydrology and Water Management, Ghent University, Ghent, Belgiumen
dc.contributor.institutionMax Planck Institute for Biogeochemistry, Jena, Germanyen
dc.contributor.institutionJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USAen
dc.contributor.institutionDepartment of Ecosystem and Conservation Sciences, University of Montana, Missoula, Montana, USAen
dc.contributor.institutionDepartment of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey, USAen
dc.contributor.institutionESRIN, European Space Agency, Frascati, Italyen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorErshadi, A.en
kaust.authorMcCabe, Matthewen
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