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

Handle URI:
http://hdl.handle.net/10754/617319
Title:
The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets
Authors:
Miralles, D. G.; Jiménez, C.; Jung, M.; Michel, D.; Ershadi, A.; McCabe, Matthew ( 0000-0002-1279-5272 ) ; Hirschi, M.; Martens, B.; Dolman, A. J.; 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 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.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division
Citation:
The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets 2016, 20 (2):823 Hydrology and Earth System Sciences
Publisher:
Copernicus GmbH
Journal:
Hydrology and Earth System Sciences
Issue Date:
23-Feb-2016
DOI:
10.5194/hess-20-823-2016
Type:
Article
ISSN:
1607-7938
Sponsors:
This work was undertaken as part of the European Space Agency (ESA) project WACMOS-ET (Contract No. 4000106711/12/I-NB). Discharge data were provided by the Global Runoff Data Centre, 56068 Koblenz, Germany. We thank Ulrich Weber and Eric Thomas for processing the catchment data. 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). A. Ershadi and M. F. McCabe acknowledge funding from the King Abdullah University of Science and Technology. J. B. Fisher acknowledges funding under the NASA Terrestrial Hydrology Program.
Additional Links:
http://www.hydrol-earth-syst-sci.net/20/823/2016/
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorMiralles, D. G.en
dc.contributor.authorJiménez, C.en
dc.contributor.authorJung, M.en
dc.contributor.authorMichel, D.en
dc.contributor.authorErshadi, A.en
dc.contributor.authorMcCabe, Matthewen
dc.contributor.authorHirschi, M.en
dc.contributor.authorMartens, B.en
dc.contributor.authorDolman, A. J.en
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.accessioned2016-07-21T11:03:45Z-
dc.date.available2016-07-21T11:03:45Z-
dc.date.issued2016-02-23-
dc.identifier.citationThe WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets 2016, 20 (2):823 Hydrology and Earth System Sciencesen
dc.identifier.issn1607-7938-
dc.identifier.doi10.5194/hess-20-823-2016-
dc.identifier.urihttp://hdl.handle.net/10754/617319-
dc.description.abstractThe 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.en
dc.description.sponsorshipThis work was undertaken as part of the European Space Agency (ESA) project WACMOS-ET (Contract No. 4000106711/12/I-NB). Discharge data were provided by the Global Runoff Data Centre, 56068 Koblenz, Germany. We thank Ulrich Weber and Eric Thomas for processing the catchment data. 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). A. Ershadi and M. F. McCabe acknowledge funding from the King Abdullah University of Science and Technology. J. B. Fisher acknowledges funding under the NASA Terrestrial Hydrology Program.en
dc.language.isoenen
dc.publisherCopernicus GmbHen
dc.relation.urlhttp://www.hydrol-earth-syst-sci.net/20/823/2016/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 2: Evaluation of global terrestrial evaporation data setsen
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.institutionDepartment of Earth Sciences, VU University Amsterdam, Amsterdam, the Netherlandsen
dc.contributor.institutionLaboratory of Hydrology and Water Management, Ghent University, Ghent, Belgiumen
dc.contributor.institutionEstellus, Paris, Franceen
dc.contributor.institutionMax Planck Institute for Biogeochemistry, Jena, Germanyen
dc.contributor.institutionInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerlanden
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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