The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets
The WAter Cycle Multi-mission Observation Strategy – EvapoTranspiration (WACMOS-ET) project aims to advance the development of land evaporation estimates on global and regional scales. Its main objective is the derivation, validation, and intercomparison of a group of existing evaporation...
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Copernicus Publications
2016-02-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | http://www.hydrol-earth-syst-sci.net/20/823/2016/hess-20-823-2016.pdf |
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English |
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Article |
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DOAJ |
author |
D. G. Miralles C. Jiménez M. Jung D. Michel A. Ershadi M. F. McCabe M. Hirschi B. Martens A. J. Dolman J. B. Fisher Q. Mu S. I. Seneviratne E. F. Wood D. Fernández-Prieto |
spellingShingle |
D. G. Miralles C. Jiménez M. Jung D. Michel A. Ershadi M. F. McCabe M. Hirschi B. Martens A. J. Dolman J. B. Fisher Q. Mu S. I. Seneviratne E. F. Wood D. Fernández-Prieto The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets Hydrology and Earth System Sciences |
author_facet |
D. G. Miralles C. Jiménez M. Jung D. Michel A. Ershadi M. F. McCabe M. Hirschi B. Martens A. J. Dolman J. B. Fisher Q. Mu S. I. Seneviratne E. F. Wood D. Fernández-Prieto |
author_sort |
D. G. Miralles |
title |
The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets |
title_short |
The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets |
title_full |
The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets |
title_fullStr |
The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets |
title_full_unstemmed |
The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets |
title_sort |
wacmos-et project – part 2: evaluation of global terrestrial evaporation data sets |
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 aims to advance the development of land evaporation
estimates on global and regional scales. Its main objective is the
derivation, validation, and intercomparison of a group of existing
evaporation retrieval algorithms driven by a common forcing data set. Three
commonly used process-based evaporation methodologies are evaluated: the
Penman–Monteith algorithm behind the official Moderate Resolution Imaging
Spectroradiometer (MODIS) evaporation product (PM-MOD), the Global Land
Evaporation Amsterdam Model (GLEAM), and the Priestley–Taylor Jet
Propulsion Laboratory model (PT-JPL). The resulting global spatiotemporal
variability of evaporation, the closure of regional water budgets, and the
discrete estimation of land evaporation components or sources
(i.e. transpiration, interception loss, and direct soil evaporation) are
investigated using river discharge data, independent global evaporation data
sets and results from previous studies. In a companion article (Part 1),
Michel et al. (2016) inspect the performance of these three models at local
scales using measurements from eddy-covariance towers and include in the
assessment the Surface Energy Balance System (SEBS) model. In agreement with
Part 1, our results indicate that the Priestley and Taylor products (PT-JPL
and GLEAM) perform best overall for most ecosystems and climate regimes.
While all three evaporation products adequately represent the expected
average geographical patterns and seasonality, there is a tendency in PM-MOD
to underestimate the flux in the tropics and subtropics. Overall, results
from GLEAM and PT-JPL appear more realistic when compared to surface water
balances from 837 globally distributed catchments and to separate evaporation
estimates from ERA-Interim and the model tree ensemble (MTE). Nonetheless,
all products show large dissimilarities during conditions of water stress and
drought and deficiencies in the way evaporation is partitioned into its
different components. This observed inter-product variability, even when
common forcing is used, suggests that caution is necessary in applying a
single data set for large-scale studies in isolation. A general finding that
different models perform better under different conditions highlights the
potential for considering biome- or climate-specific composites of models.
Nevertheless, the generation of a multi-product ensemble, with weighting
based on validation analyses and uncertainty assessments, is proposed as the
best way forward in our long-term goal to develop a robust observational
benchmark data set of continental evaporation. |
url |
http://www.hydrol-earth-syst-sci.net/20/823/2016/hess-20-823-2016.pdf |
work_keys_str_mv |
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doaj-54a4def3aff44954a7c3ccbba8637aab2020-11-24T23:22:19ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382016-02-0120282384210.5194/hess-20-823-2016The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data setsD. G. Miralles0C. Jiménez1M. Jung2D. Michel3A. Ershadi4M. F. McCabe5M. Hirschi6B. Martens7A. J. Dolman8J. B. Fisher9Q. Mu10S. I. Seneviratne11E. F. Wood12D. Fernández-Prieto13Department of Earth Sciences, VU University Amsterdam, Amsterdam, the NetherlandsEstellus, Paris, FranceMax Planck Institute for Biogeochemistry, Jena, GermanyInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich, SwitzerlandDivision of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaDivision of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich, SwitzerlandLaboratory of Hydrology and Water Management, Ghent University, Ghent, BelgiumDepartment of Earth Sciences, VU University Amsterdam, Amsterdam, the NetherlandsJet 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 Zurich, Zurich, 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 aims to advance the development of land evaporation estimates on global and regional scales. Its main objective is the derivation, validation, and intercomparison of a group of existing evaporation retrieval algorithms driven by a common forcing data set. Three commonly used process-based evaporation methodologies are evaluated: the Penman–Monteith algorithm behind the official Moderate Resolution Imaging Spectroradiometer (MODIS) evaporation product (PM-MOD), the Global Land Evaporation Amsterdam Model (GLEAM), and the Priestley–Taylor Jet Propulsion Laboratory model (PT-JPL). The resulting global spatiotemporal variability of evaporation, the closure of regional water budgets, and the discrete estimation of land evaporation components or sources (i.e. transpiration, interception loss, and direct soil evaporation) are investigated using river discharge data, independent global evaporation data sets and results from previous studies. In a companion article (Part 1), Michel et al. (2016) inspect the performance of these three models at local scales using measurements from eddy-covariance towers and include in the assessment the Surface Energy Balance System (SEBS) model. In agreement with Part 1, our results indicate that the Priestley and Taylor products (PT-JPL and GLEAM) perform best overall for most ecosystems and climate regimes. While all three evaporation products adequately represent the expected average geographical patterns and seasonality, there is a tendency in PM-MOD to underestimate the flux in the tropics and subtropics. Overall, results from GLEAM and PT-JPL appear more realistic when compared to surface water balances from 837 globally distributed catchments and to separate evaporation estimates from ERA-Interim and the model tree ensemble (MTE). Nonetheless, all products show large dissimilarities during conditions of water stress and drought and deficiencies in the way evaporation is partitioned into its different components. This observed inter-product variability, even when common forcing is used, suggests that caution is necessary in applying a single data set for large-scale studies in isolation. A general finding that different models perform better under different conditions highlights the potential for considering biome- or climate-specific composites of models. Nevertheless, the generation of a multi-product ensemble, with weighting based on validation analyses and uncertainty assessments, is proposed as the best way forward in our long-term goal to develop a robust observational benchmark data set of continental evaporation.http://www.hydrol-earth-syst-sci.net/20/823/2016/hess-20-823-2016.pdf |