Search results for "Terrestrial evapotranspiration"

showing 2 items of 2 documents

Intercomparison of remote-sensing based evapotranspiration algorithms over amazonian forests

2019

Abstract Evapotranspiration (ET) is considered a key variable in the understanding of the Amazonian tropical forests and their response to climate change. Remote-Sensing (RS) based evapotranspiration models are presented as a feasible means in order to provide accurate spatially-distributed ET estimates over this region. In this work, the performance of four commonly used ET RS models was evaluated over Amazonia using Moderate Resolution Imaging Spectroradiometer (MODIS) data. RS models included i) Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), ii) Penman-Monteith MODIS operative parametrization (PM-Mu), iii) Surface Energy Balance System (SEBS), and iv) Satellite Application Facility…

Global and Planetary ChangeAmazonian tropical forests; Terrestrial evapotranspiration; MODIS; Reanalysis010504 meteorology & atmospheric sciencesAmazonianCloud cover0211 other engineering and technologiesAmazonian tropical forestsClimate changeReanalysis02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesVariable (computer science)MODISEvapotranspirationEnvironmental scienceParametrization (atmospheric modeling)SatelliteModerate-resolution imaging spectroradiometerComputers in Earth SciencesTerrestrial evapotranspirationAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesInternational Journal of Applied Earth Observation and Geoinformation
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Evapotranspiration simulations in ISIMIP2a-Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets

2018

Actual land evapotranspiration (ET) is a key component of the global hydrological cycle and anessential variable determining the evolution of hydrological extreme events under different climate change scenarios. However, recently available ET products show persistent uncertainties thatare impeding a precise attribution of human-induced climate change. Here, we aim at comparing arange of independent global monthly land ET estimates with historical model simulations from theglobal water, agriculture, and biomes sectors participating in the second phase of the Inter-SectoralImpact Model Intercomparison Project (ISIMIP2a). Among the independent estimates, we use theEartH2Observe Tier-1 dataset …

PARAMETERIZATION010504 meteorology & atmospheric sciences0208 environmental biotechnologyREANALYSIS DATA02 engineering and technologyForcing (mathematics)01 natural sciencesISIMIP2aEnvironmental Science(all)Evapotranspirationddc:550Range (statistics)Cluster AnalysisMeteorology & Atmospheric SciencesWATERWater cycleuncertaintyGeneral Environmental ScienceUncertaintyVariance (accounting)Explained variationGLOBAL TERRESTRIAL EVAPOTRANSPIRATIONVariable (computer science)[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyPhysical SciencesLife Sciences & BiomedicinePROJECTHYDROLOGICAL MODELSevapotranspirationClimate changeEnvironmental Sciences & EcologySOIL-MOISTUREhydrological extreme eventsLAND-SURFACE MODELhydrological extreme events ; cluster analysis ; uncertainty ; ISIMIP2a ; evapotranspiration[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/HydrologyHydrological extreme events0105 earth and related environmental sciencesScience & TechnologyRenewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational HealthPOTENTIAL EVAPOTRANSPIRATION020801 environmental engineeringEarth sciencesISIMIP2a; evapotranspiration; uncertainty; cluster analysis; hydrological extreme events13. Climate actionEnvironmental scienceEnvironmental SciencesHIGH-RESOLUTIONcluster analysis
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