基于SEBS模型的遥感反演区域蒸散发研究.ppt
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基于SEBS模型的遥感反演区域蒸散发研究.ppt

基于SEBS模型的遥感反演区域蒸散发研究.ppt

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1.INTRODUCTIONToestimatethecomponentsofenergybalanceConventionaltechniques:pointmeasurements(pointscales)Recently:Remotesensing(regionalscales)ValidationofestimatedsensibleheatfluxConventionaltechniques:pointmeasurements(pointscales)i.e.Bowenratiosystem,EddycorrelationsystemRecently:LargeApertureScintillometers(LAS)(regionalscales)1.INTRODUCTIONSEBS(SurfaceEnergyBalanceSystem)wasdevelopedbyZ.Sutoestimatelandsurfacefluxesusingremotelysenseddataandavailablemeteorologicalobservations.Fig.2ThestructureSEBS(Wangetal.,2008)2.METHODOLOGY2.METHODOLOGY2.METHODOLOGY2.METHODOLOGYLASmeasurements:ArouCounty,eastofQinghaiprovincecoveredwithgrasslandsandwithanaltitudeabout3000mTheLASmademeasurementsalongapathbetweentransmitter(38°03′24.3″N,100°28′16.4″E)andreceiver(38°02′18.1″N,100°27′25.9″E)withdistanceof2390m.Fig.3ThelocationofLASonMODISpixels;Where,TisthetransmitterofLASlocatedonMODISpixel;RisthereceiverofLASlocatedonMODISpixel.MODISproductsandpreprocessing·ALBEDO·EMISSIVITYNCEPdataandpreprocessing●Previousresearchusingempiricalrelationship:●anewapproachtoderivethevalueofproposedbyKunYang(2003)isbeingusedinthispaper.Accordingtothis,canbeconsideredconstantoverashortperiod,sinceisphysicallyrelatedtotheunderlyingsurfaceandnotsensitivetothediurnalvariationofatmosphericstability.●thespecificvaluesoffromMaytoSeptemberin2011areasfollows(Table1.):Table.2valuesbeingusedinthispaper4.RESULTSANDANALYSIS4.RESULTSANDANALYSIS4.RESULTSANDANALYSIS4.RESULTSANDANALYSIS4.RESULTSANDANALYSIS4.SENSITIVITYANALYSISFig4.Sensitivityofsensibleheatflux(H)whenvaryingfrom2kto34kFig5.Sensitivityofsensibleheatflux(H)whenvaryingu_pblfrom1m/sto20m/s●Sensitivityanalysisshowed,andallinfluencedsensibleheatstrongly.However,theinfluencedisappearedwhensensibleheatreachedthemaximumvalueunderdrylimit.Besides,therelationshipbetweenandsensibleheatfluxwaslinear,whileforothertwoparameters,therelationshipwasnon-linear.5.DISCUSSIONANDCONCLUSIONThankYou!