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Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data

hal.structure.identifierDepartment of Forestry and Environmental Resources
dc.contributor.authorFANG, Yuan
hal.structure.identifierEastern Forest Environmental Threat Assessment Center, Southern Research Station
dc.contributor.authorSUN, Ge
hal.structure.identifierUnited States Department of Agriculture [USDA]
dc.contributor.authorCALDWELL, Peter
hal.structure.identifierEastern Forest Environmental Threat Assessment Center, Southern Research Station
dc.contributor.authorMCNULTY, Steven G.
hal.structure.identifierDepartment of Forestry and Environmental Resources
dc.contributor.authorNOORMETS, Asko
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierDepartment of Forestry and Environmental Resources
dc.contributor.authorDOMEC, Jean-Christophe
hal.structure.identifierDepartment of Forestry and Environmental Resources
dc.contributor.authorKING, John
hal.structure.identifierBeijing Forestry University
dc.contributor.authorZHANG, Zhiqiang
hal.structure.identifierChinese Academy of Forestry
dc.contributor.authorZHANG, Xudong
hal.structure.identifierChinese Academy of Forestry
dc.contributor.authorLIN, Guanghui
hal.structure.identifierChinese Academy of Sciences [CAS]
dc.contributor.authorZHOU, Guangsheng
hal.structure.identifierUniversity of New Hampshire [UNH]
dc.contributor.authorXIAO, Jingfeng
hal.structure.identifierMichigan State University [East Lansing]
dc.contributor.authorCHEN, Jiquan
dc.date.accessioned2024-04-08T12:02:01Z
dc.date.available2024-04-08T12:02:01Z
dc.date.issued2016
dc.identifier.issn1936-0584
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196184
dc.description.abstractEnEvapotranspiration (ET) is arguably the most uncertain ecohydrologic variable for quantifying watershed water budgets. Although numerous ET and hydrological models exist, accurately predicting the effects of global change on water use and availability remains challenging because of model deficiency and/or a lack of input parameters. The objective of this study was to create a new set of monthly ET models that can better quantify landscape-level ET with readily available meteorological and biophysical information. We integrated eddy covariance flux measurements from over 200 sites, multiple year remote sensing products from the Moderate Resolution Imaging Spectroradiometer (MODIS), and statistical modelling. Through examining the key biophysical controls on ET by land cover type (i.e. shrubland, cropland, deciduous forest, evergreen forest, mixed forest, grassland, and savannas), we created unique ET regression models for each land cover type using different combinations of biophysical independent factors. Leaf area index and net radiation explained most of the variability of observed ET for shrubland, cropland, grassland, savannas, and evergreen forest ecosystems. In contrast, potential ET (PET) as estimated by the temperature-based Hamon method was most useful for estimating monthly ET for deciduous and mixed forests. The more data-demanding PET method, FAO reference ET model, had similar power as the simpler Hamon PET method for estimating actual ET. We developed three sets of monthly ET models by land cover type for different practical applications with different data availability. Our models may be used to improve water balance estimates for large basins or regions with mixed land cover types.
dc.language.isoen
dc.publisherWiley
dc.subjectevapotranspiration
dc.subjectFLUXNET
dc.subject.eneddy covariance flux
dc.subject.enecosystem modelling
dc.subject.enecohydrology
dc.title.enMonthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data
dc.typeArticle de revue
dc.identifier.doi10.1002/eco.1629
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre
bordeaux.journalEcohydrology
bordeaux.page248-266
bordeaux.volume9
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue2
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02637098
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02637098v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Ecohydrology&rft.date=2016&rft.volume=9&rft.issue=2&rft.spage=248-266&rft.epage=248-266&rft.eissn=1936-0584&rft.issn=1936-0584&rft.au=FANG,%20Yuan&SUN,%20Ge&CALDWELL,%20Peter&MCNULTY,%20Steven%20G.&NOORMETS,%20Asko&rft.genre=article


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