Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis

Handle URI:
http://hdl.handle.net/10754/334520
Title:
Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis
Authors:
Mueller, B.; Hirschi, M.; Jimenez, C.; Ciais, P.; Dirmeyer, P.A.; Dolman, A.J.; Fisher, J.B.; Jung, M.; Ludwig, F.; Maignan, F.; Miralles, D.G.; McCabe, Matthew ( 0000-0002-1279-5272 ) ; Reichstein, M.; Sheffield, J.; Wang, K.; Wood, E.F.; Zhang, Y.; Seneviratne, S.I.
Abstract:
Land evapotranspiration (ET) estimates are available from several global data sets.Here, Monthly Global Land et Synthesis Products, Merged from These Individual Data Sets over the Time Periods 1989-1995 (7 Yr) and 1989-2005 (17 Yr), Are Presented. the Merged Synthesis Products over the Shorter Period Are Based on A Total of 40 Distinct Data Sets while Those over the Longer Period Are Based on A Total of 14 Data Sets. in the Individual Data Sets, et Is Derived from Satellite And/or in Situ Observations (Diagnostic Data Sets) or Calculated Via Land-surface Models (LSMs) Driven with Observations-based Forcing or Output from Atmospheric Reanalyses. Statistics for Four Merged Synthesis Products Are Provided, One Including All Data Sets and Three Including only Data Sets from One Category Each (Diagnostic, LSMs, and Reanalyses). the Multi-annual Variations of et in the Merged Synthesis Products Display Realistic Responses. They Are Also Consistent with Previous Findings of A Global Increase in et between 1989 and 1997 (0.13 Mm yr-2 in Our Merged Product) Followed by A Significant Decrease in This Trend (-0.18 Mm yr-2), although These Trends Are Relatively Small Compared to the Uncertainty of Absolute et Values. the Global Mean et from the Merged Synthesis Products (Based on All Data Sets) Is 493 Mm yr-1 (1.35 Mm d-1) for Both the 1989-1995 and 1989-2005 Products, Which Is Relatively Low Compared to Previously Published Estimates. We Estimate Global Runoff (Precipitation Minus ET) to 263 Mm yr -1 (34 406 km3 yr-1) for A Total Land Area of 130 922 000 km2. Precipitation, Being An Important Driving Factor and Input to Most Simulated et Data Sets, Presents Uncertainties between Single Data Sets As Large As Those in the et Estimates. in Order to Reduce Uncertainties in Current et Products, Improving the Accuracy of the Input Variables, Especially Precipitation, As Well As the Parameterizations of ET, Are Crucial. 2013 Author(s).
KAUST Department:
Water Desalination and Reuse Research Center (WDRC)
Citation:
Mueller B, Hirschi M, Jimenez C, Ciais P, Dirmeyer PA, et al. (2013) Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis. Hydrol Earth Syst Sci 17: 3707-3720. doi:10.5194/hess-17-3707-2013.
Publisher:
Copernicus GmbH
Journal:
Hydrology and Earth System Sciences
Issue Date:
1-Oct-2013
DOI:
10.5194/hess-17-3707-2013
Type:
Article
ISSN:
10275606
Appears in Collections:
Articles; Water Desalination and Reuse Research Center (WDRC)

Full metadata record

DC FieldValue Language
dc.contributor.authorMueller, B.en
dc.contributor.authorHirschi, M.en
dc.contributor.authorJimenez, C.en
dc.contributor.authorCiais, P.en
dc.contributor.authorDirmeyer, P.A.en
dc.contributor.authorDolman, A.J.en
dc.contributor.authorFisher, J.B.en
dc.contributor.authorJung, M.en
dc.contributor.authorLudwig, F.en
dc.contributor.authorMaignan, F.en
dc.contributor.authorMiralles, D.G.en
dc.contributor.authorMcCabe, Matthewen
dc.contributor.authorReichstein, M.en
dc.contributor.authorSheffield, J.en
dc.contributor.authorWang, K.en
dc.contributor.authorWood, E.F.en
dc.contributor.authorZhang, Y.en
dc.contributor.authorSeneviratne, S.I.en
dc.date.accessioned2014-11-11T14:28:10Z-
dc.date.available2014-11-11T14:28:10Z-
dc.date.issued2013-10-01en
dc.identifier.citationMueller B, Hirschi M, Jimenez C, Ciais P, Dirmeyer PA, et al. (2013) Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis. Hydrol Earth Syst Sci 17: 3707-3720. doi:10.5194/hess-17-3707-2013.en
dc.identifier.issn10275606en
dc.identifier.doi10.5194/hess-17-3707-2013en
dc.identifier.urihttp://hdl.handle.net/10754/334520en
dc.description.abstractLand evapotranspiration (ET) estimates are available from several global data sets.Here, Monthly Global Land et Synthesis Products, Merged from These Individual Data Sets over the Time Periods 1989-1995 (7 Yr) and 1989-2005 (17 Yr), Are Presented. the Merged Synthesis Products over the Shorter Period Are Based on A Total of 40 Distinct Data Sets while Those over the Longer Period Are Based on A Total of 14 Data Sets. in the Individual Data Sets, et Is Derived from Satellite And/or in Situ Observations (Diagnostic Data Sets) or Calculated Via Land-surface Models (LSMs) Driven with Observations-based Forcing or Output from Atmospheric Reanalyses. Statistics for Four Merged Synthesis Products Are Provided, One Including All Data Sets and Three Including only Data Sets from One Category Each (Diagnostic, LSMs, and Reanalyses). the Multi-annual Variations of et in the Merged Synthesis Products Display Realistic Responses. They Are Also Consistent with Previous Findings of A Global Increase in et between 1989 and 1997 (0.13 Mm yr-2 in Our Merged Product) Followed by A Significant Decrease in This Trend (-0.18 Mm yr-2), although These Trends Are Relatively Small Compared to the Uncertainty of Absolute et Values. the Global Mean et from the Merged Synthesis Products (Based on All Data Sets) Is 493 Mm yr-1 (1.35 Mm d-1) for Both the 1989-1995 and 1989-2005 Products, Which Is Relatively Low Compared to Previously Published Estimates. We Estimate Global Runoff (Precipitation Minus ET) to 263 Mm yr -1 (34 406 km3 yr-1) for A Total Land Area of 130 922 000 km2. Precipitation, Being An Important Driving Factor and Input to Most Simulated et Data Sets, Presents Uncertainties between Single Data Sets As Large As Those in the et Estimates. in Order to Reduce Uncertainties in Current et Products, Improving the Accuracy of the Input Variables, Especially Precipitation, As Well As the Parameterizations of ET, Are Crucial. 2013 Author(s).en
dc.language.isoenen
dc.publisherCopernicus GmbHen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectDriving factorsen
dc.subjectGlobal dataen
dc.subjectIn-situ observationsen
dc.subjectInput variablesen
dc.subjectLand areasen
dc.subjectLand surface modelsen
dc.subjectTime-periodsen
dc.subjectEstimationen
dc.subjectEvapotranspirationen
dc.subjectUncertainty analysisen
dc.subjectWater supplyen
dc.subjectDiagnostic productsen
dc.subjectaccuracy assessmenten
dc.subjectannual variationen
dc.subjectdata seten
dc.subjectevapotranspirationen
dc.subjectprecipitation (climatology)en
dc.subjectrunoffen
dc.subjectsatellite dataen
dc.subjectsatellite imageryen
dc.titleBenchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesisen
dc.typeArticleen
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)en
dc.identifier.journalHydrology and Earth System Sciencesen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionInstitute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerlanden
dc.contributor.institutionLERMA, Observatoire de Paris, Paris, Franceen
dc.contributor.institutionLSCE, UMR CEA, CNRS, Gif-sur-Yvette, Franceen
dc.contributor.institutionGeorge Mason University, Fairfax, VA, United Statesen
dc.contributor.institutionVU University Amsterdam, Netherlandsen
dc.contributor.institutionJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United Statesen
dc.contributor.institutionMax Planck Institute for Biogeochemistry, Jena, Germanyen
dc.contributor.institutionWageningen University, Wageningen, Netherlandsen
dc.contributor.institutionSchool of Geographical Sciences, University of Bristol, United Kingdomen
dc.contributor.institutionDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United Statesen
dc.contributor.institutionCollege of Global Change and Earth System Science, Beijing Normal University, Beijing, Chinaen
dc.contributor.institutionCSIRO Land and Water, Canberra, Australiaen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorMcCabe, Matthewen
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