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

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 bestmore » with the tower measurements (R2 = 0.67), the agreement of the satellite-based ET estimates is only marginally lower (R2 = 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. In conclusion, 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.« less

Authors:
 [1];  [2]; ORCiD logo [3];  [4];  [1];  [5];  [6]; ORCiD logo [7];  [5];  [8];  [1];  [9];  [10]
  1. Inst. for Atmospheric and Climate Science, ETH Zurich, Zurich (Switzerland)
  2. Estellus, Paris (France); LERMA, Paris Observatory, Paris (France)
  3. VU Univ. Amsterdam, Amsterdam (The Netherlands). Dept. of Earth Sciences; Ghent Univ., Ghent (Belgium). Lab. of Hydrology and Water Management
  4. Max Planck Inst. for Biogeochemistry, Jena (Germany)
  5. California Inst. of Technology, Pasadena, CA (United States). Jet Propulsion Laboratory
  6. Ghent Univ., Ghent (Belgium). Lab. of Hydrology and Water Management
  7. King Abdullah Univ. of Science and Technology, Thuwal (Saudi Arabia). Div. of Biological and Environmental Sciences and Engineering
  8. Univ. of Montana, Missoula, MT (United States). Dept. of Ecosystem and Conservation Sciences
  9. Princeton Univ., Princeton, NJ (United States). Dept. of Civil and Environmental Engineering
  10. European Space Agency (ESRIN), Frascati (Italy)
Publication Date:
Research Org.:
Inst. for Atmospheric and Climate Science, ETH Zurich, Zurich (Switzerland)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1288410
Grant/Contract Number:  
FG02-04ER63917; FG02-04ER63911
Resource Type:
Accepted Manuscript
Journal Name:
Hydrology and Earth System Sciences (Online)
Additional Journal Information:
Journal Name: Hydrology and Earth System Sciences (Online); Journal Volume: 20; Journal Issue: 2; Journal ID: ISSN 1607-7938
Publisher:
European Geosciences Union (EGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 97 MATHEMATICS AND COMPUTING; surface-energy-balance; era-interim reanalysis; global precipitation; soil-moisture; system sebs; heat-flux; data set; evaporation; products; microwave

Citation Formats

Michel, D., Jimenez, C., Miralles, D. G., Jung, M., Hirschi, M., Ershadi, A., Martens, B., McCabe, M. F., Fisher, J. B., Mu, Q., Seneviratne, S. I., Wood, E. F., and Fernandez-Prieto, D. The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms. United States: N. p., 2016. Web. https://doi.org/10.5194/hess-20-803-2016.
Michel, D., Jimenez, C., Miralles, D. G., Jung, M., Hirschi, M., Ershadi, A., Martens, B., McCabe, M. F., Fisher, J. B., Mu, Q., Seneviratne, S. I., Wood, E. F., & Fernandez-Prieto, D. The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms. United States. https://doi.org/10.5194/hess-20-803-2016
Michel, D., Jimenez, C., Miralles, D. G., Jung, M., Hirschi, M., Ershadi, A., Martens, B., McCabe, M. F., Fisher, J. B., Mu, Q., Seneviratne, S. I., Wood, E. F., and Fernandez-Prieto, D. Tue . "The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms". United States. https://doi.org/10.5194/hess-20-803-2016. https://www.osti.gov/servlets/purl/1288410.
@article{osti_1288410,
title = {The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms},
author = {Michel, D. and Jimenez, C. and Miralles, D. G. and Jung, M. and Hirschi, M. and Ershadi, A. and Martens, B. and McCabe, M. F. and Fisher, J. B. and Mu, Q. and Seneviratne, S. I. and Wood, E. F. and Fernandez-Prieto, D.},
abstractNote = {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 (R2 = 0.67), the agreement of the satellite-based ET estimates is only marginally lower (R2 = 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. In conclusion, 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.},
doi = {10.5194/hess-20-803-2016},
journal = {Hydrology and Earth System Sciences (Online)},
number = 2,
volume = 20,
place = {United States},
year = {2016},
month = {2}
}

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    GLEAM v3: satellite-based land evaporation and root-zone soil moisture
    journal, January 2017

    • Martens, Brecht; Miralles, Diego G.; Lievens, Hans
    • Geoscientific Model Development, Vol. 10, Issue 5
    • DOI: 10.5194/gmd-10-1903-2017

    High-resolution land surface fluxes from satellite and reanalysis data (HOLAPS v1.0): evaluation and uncertainty assessment
    journal, January 2016

    • Loew, Alexander; Peng, Jian; Borsche, Michael
    • Geoscientific Model Development, Vol. 9, Issue 7
    • DOI: 10.5194/gmd-9-2499-2016

    The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally-gridded forcing data
    journal, January 2015

    • McCabe, M. F.; Ershadi, A.; Jimenez, C.
    • Geoscientific Model Development Discussions, Vol. 8, Issue 8
    • DOI: 10.5194/gmdd-8-6809-2015

    The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets
    journal, January 2016

    • Miralles, D. G.; Jiménez, C.; Jung, M.
    • Hydrology and Earth System Sciences, Vol. 20, Issue 2
    • DOI: 10.5194/hess-20-823-2016

    Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall–runoff model
    journal, January 2017

    • Roy, Tirthankar; Gupta, Hoshin V.; Serrat-Capdevila, Aleix
    • Hydrology and Earth System Sciences, Vol. 21, Issue 2
    • DOI: 10.5194/hess-21-879-2017

    Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate
    journal, January 2018

    • Hobeichi, Sanaa; Abramowitz, Gab; Evans, Jason
    • Hydrology and Earth System Sciences, Vol. 22, Issue 2
    • DOI: 10.5194/hess-22-1317-2018

    A Climate Data Record (CDR) for the global terrestrial water budget: 1984–2010
    journal, January 2018

    • Zhang, Yu; Pan, Ming; Sheffield, Justin
    • Hydrology and Earth System Sciences, Vol. 22, Issue 1
    • DOI: 10.5194/hess-22-241-2018

    Exploring the merging of the global land evaporation WACMOS-ET products based on local tower measurements
    journal, January 2018

    • Jiménez, Carlos; Martens, Brecht; Miralles, Diego M.
    • Hydrology and Earth System Sciences, Vol. 22, Issue 8
    • DOI: 10.5194/hess-22-4513-2018

    The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets
    text, January 2016


    Potential evaporation at eddy-covariance sites across the globe
    journal, January 2019

    • Maes, Wouter H.; Gentine, Pierre; Verhoest, Niko E. C.
    • Hydrology and Earth System Sciences, Vol. 23, Issue 2
    • DOI: 10.5194/hess-23-925-2019