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WangYong,LiuLintao,XuHouze,etal.Retrie vingChangeofPrecipitableWaterVaporinChineseMainlandbyGPSTechnique[J].犌犲狅犿犪狋犻犮狊犪狀犱犐狀犳狅狉犿犪狋犻狅狀犛犮犻犲狀犮犲狅犳 犠狌犺犪狀犝狀犻狏犲狉狊犻狋狔,2007,32(2):152 155(王 勇,柳 林 涛,许 厚 泽,等.利 用GPS技术反演中国大陆水汽变化[J].武汉大学学报·信息科学版,2007,32(2):152 155)[2] NoeelS,Buchwitz M.Atmospheric WaterVaporAmountsRetrievedfrom GOMESatelliteData[J].犌犲狅狆犺狔犻犮犪犾犚犲狊犲犪狉犮犺犔犲狋狋犲狉狊,1999,26(13):1841 1844[3] ZhaoQiang,YangShizhi,QiaoYanli,etal.StudyofSimultaneousNon linearRetrievalofAtmospher icParametersandSurfaceSkinTemperaturefromMODISInfraredData[J].犌犲狅犿犪狋犻犮狊犪狀犱犐狀犳狅狉犿犪狋犻狅狀犛犮犻犲狀犮犲狅犳 犠狌犺犪狀犝狀犻狏犲狉狊犻狋狔,2009,34(4):400 403(赵强,杨世植,乔延利,等.利用MODIS红外资料反演大气参数以及表层温度的研究[J].武汉大学学报·信息科学版,2009,34(4):400 403)[4] Gao B C.Comparison of Column Water VaporMeasurementsUsingDownward lookingNear infra redandInfraredImagingSystemsandUpward loo king MicrowaveRadiometers[J].犑狅狌狉狀犪犾狅犳 犃狆狆犾犻犲犱犕犲狋犲狅狉狅犾狅犵狔,1992,31(10):1193 1201[8] GaoB C,Goetz A F,WestwaterE R.PossibleNear IRChannelsforRemoteSensingPrecipitableWaterVaporfromGeostationarySatellitePlatforms[J].犑狅狌狉狀犪犾狅犳 犃狆狆犾犻犲犱 犕犲狋犲狅狉狅犾狅犵狔,1993,32(12):1791 1801[5] AiresF,PrigentC,Rossow W B,etal.A NewNeuralNetworkApproachIncludingFirstGuessforRetrievalofAtmosphericWaterVapor,CloudLiq uidWaterPath,SurfaceTemperature,andEmissiv itiesoverLandfrom Satellite MicrowaveObserva tions[J].犑狅狌狉狀犪犾狅犳犌犲狅狆犺狔狊犻犮犪犾犚犲狊犲犪狉犮犺,2001,106(D14):14887 14907[6] LiuQ,WengF.One dimensionalVariationalRe trievalAlgorithm ofTemperature,Water Vapor,andCloudWaterProfilesfromAdvancedMicrowaveSoundingUnit(AMSU)[J].犐犈犈犈犜狉犪狀狊犪犮狋犻狅狀狊狅狀犌犲狅狊犮犻犲狀犮犲犪狀犱犚犲犿狅狋犲犛犲狀狊犻狀犵,2005,43(5):1087 1095[7] DeeterM N.ANewSatelliteMethodforRetrievingPrecipitableWaterVaporoverLandandOcean[J].犌犲狅狆犺狔狊犻犮犪犾犚犲狊犲犪狉犮犺犔犲狋狋犲狉狊,2007,34:L02815[9] WangH X,ZhangL,DawesW R.ImprovingWa terUseEfficiencyofIrrigatedCropsintheNorthChinaPlain measurementsandModelling[J].犃犵狉犻犮狌犾狋狌狉犲犠犪狋犲狉犕犪狀犵犿犲狀狋,2001,48:151 167[10]ChenK,WuT,TsangT,etal.EmissionofRoughSurfacesCalculatedbytheIntegralEquationMethodwith Comparison to Three dimensional MomentMethodSimulations[J].犐犈犈犈犜狉犪狀狊犪犮狋犻狅狀狊狅狀犌犲狅狊犮犻犲狀犮犲犪狀犱犚犲犿狅狋犲犛犲狀狊犻狀犵,2003,41:90 101[11]JacksonTJ,Cosh M H,BindlishR.AFive yearValidationofAMSR ESoilMoistureProducts[C].IEEEInternationalGeoscienceandRemoteSensingSymposium,Boston,USA,2008犘犪狊狊犻狏犲犕犻犮狉狅狑犪狏犲犚犲犿狅狋犲犛犲狀狊犻狀犵狅犳犘狉犲犮犻狆犻狋犪犫犾犲犠犪狋犲狉犞犪狆狅狉狅狏犲狉犅犲犻犼犻狀犵犜犻犪狀犼犻狀犎犲犫犲犻犚犲犵犻狅狀犅犪狊犲犱狅狀犃犕犛犚犈犠犃犖犌犢狅狀犵狇犻犪狀1,2,3 犛犎犐犑犻犪狀犮犺犲狀犵2 犔犐犝犣犺犻犺狅狀犵1 犉犈犖犌犠犲狀犾犪狀11 CollegeofEnvironmentalandResourceScience,ChengduUniversityofInformationTechnology,Chengdu610225,China2 StateKeyLaboratoryofRemoteSensingScience,InstituteofRemoteSensingApplications,ChineseAcademyofSciences,Beijing100101,China3InstituteofMeteorologyScience,ChongqingMeteorologicalBureau,Chongqing401147,China犃犫狊狋狉犪犮狋:Comparedwithvisible/infraredsensors,satellitedata basedpassivemicrowaveradiometerscouldprovideamorefeasiblemethodforretrievingprecipitablewatervapor(PWV).Thispaperpres entsaschemethatretrievesPWVoverBeijing Tianjin Hebeiregionusingsatelliteradiometermeas urementsfromadvancedmicrowavescanningradiometer(AMSR E).Forbaresurfaces,thepolariza tiondifferenceratio(PDR_WV)obtainedfrom23.8and18.7GHzwasfoundtobesensitivetoPWV.477武 汉 大 学 学 报 · 信 息 科 学 版2015年4月Forthesurfacecoveredbyvegetation,surfaceemissivitywasretrievedbyAMSR EwiththehelpoftheMODISatmosphericprofileproduct.Throughanalyzingthestatisticalrelationshipofemissivitypolarizationdifference,analgorithmforretrievingPWV wasbuilt.ComparedwiththeGPSresults,therootmeansquareerrorofouralgorithmis7.4mm.Regionalconsistencywasfoundbetweentheresultsfrom MODISandouralgorithm.犓犲狔狑狅狉犱狊:Beijing Tianjin HebeiRegion;Precipitablewatervapor;AMSR E;Polarizationdifference犉犻狉狊狋犪狌狋犺狅狉:WANGYongqian,PhD,associateprofessor,specializesinthetheoriesandmethodsofretrievingsurfaceandatmosphereparametersbyremotesensing.E mail:wyqq@cuit.edu.cn犉狅狌狀犱犪狋犻狅狀狊狌狆狆狅狉狋:TheNationalNaturalScienceFoundationofChina,Nos.41471305,41301653,41301653,theOpenResearchFundProgramofChongqing MeteorologicalBureau,No.Kfjj 201402,theProjectofPreeminentYouth FundofSichuanProrince,No.檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪檪2015JQ0037.(上接第465页)犜犺犲犜狉犻狆犾犲犆狅犾犾狅犮犪狋犻狅狀犫犪狊犲犱犉狌狊犻狅狀狅犳犐狀狊犻狋狌犪狀犱犛犪狋犲犾犾犻狋犲犚犲犿狅狋犲犛犲狀狊犻狀犵犇犪狋犪犳狅狉犛狀狅狑犇犲狆狋犺犚犲狋狉犻犲狏犪犾犡犝犑犻犪狀犺狌犻1 犛犎犝犎狅狀犵11 StateKeyLaboratoryofInformationEngineeringinSurveyingMappingandRemoteSensing,WuhanUniversity,Wuhan430079,China犃犫狊狋狉犪犮狋:Becauseoftheinsufficientaccuracyandspatialresolutionofsnowdepthproductsretrievedbypassivemicrowaveremotesensing,anew multi sourcesdatafusionapproachisdevelopedforre trievingsnowdepth.Thedatafromdifferentsourcescontainsvisible,passivemicrowavesatelliteandin situdata.Thedailyin situ,AMSR EandSSM/Iretrievedsnowdepthproductsareusedinthisstudy.First,combiningin situsnow depth,thesnow depthof Northern Xinjiangisestimatedthroughgeostatisticalanalysis.Thentheerrorvariancesofeachproductarecalculatedusingatriplecollocation(TC)method.Finally,thenewsnowdepthproductsareobtainedby mergingin situ,AMSR EandSSM/IsnowdepthdatainaleastsquarescriterionwheretheoptimalweightsofeachproductaredeterminedwiththeTC basederrorvariances.Themergedsnowdepthisvalidateda gainstin situsnowdepthandexhibitsahighercorrelationwithin situobservationsthanthatwitho riginalAMSR EandSSM/Isnowdepth.Theresultswithhigheraccuracydemonstratetheeffective nessofourapproach.犓犲狔狑狅狉犱狊:SnowDepth;AMSR E;SSM/I;TripleCollocation;LeastSquareMethod犉犻狉狊狋犪狌狋犺狅狉:XUJianhui,PhDcandidate,specializesinspatio temporaldataanalysisanddataassimilation.E mail:xujianhui306@163.com犆狅狉狉犲狊狆狅狀犱犻狀犵犪狌狋犺狅狉:SHU Hong,PhD,professor.E mail:shu_hong@whu.edu.cn犉狅狌狀犱犪狋犻狅狀狊狌狆狆狅狉狋:TheNationalNaturalScienceFoundationofChina,No.41171313;theKeyProjectofNationalNaturalScienceFoundationofChina,No.41331175;theOpenResearchFundoftheKeyLaboratoryofGeo informaticsofNationalAdministrationofSurveying,MappingandGeoinformation,No.201329;theHubeiProvincialNaturalScienceFoundationofChina,No.2014CFB725/ZRY2014000982.
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