基于地基gps无温压数据的实时大气水汽反演的分析

基于地基gps无温压数据的实时大气水汽反演的分析

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时间:2019-01-21

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1、AbstractWatervaporisoneoftheimportantgreenhousegasesintheatmosphere, occupyinganimportantplaceinforecastingandmonitoringthesmalland medium-scaledisastersweather(horizontalscaleataround100km)thatlife-cycle usuallylastsonlyafewhours.Duetothelowspatialandtempor

2、alresolutionorhigh cost,someconventionalvapourdetectionmeasuresaredifficulttoachievehigh spatialandtemporalresolutionandlargepromotionoflow-costwatervapor monitoring.TheestablishmentofcrustalmovementobservationnetworkofChina,as wellastheContinuousOperational

3、ReferenceSystem(abbreviatedasCORS)inall citiesprovideaneffectivehardwareprotectionanddatasourcesforground-based retrievalofGPSwatervapor,whichhasnumerousadvantages,suchas,highspatial andtemporalresolution,dynamicself-calibration,lowcost,feasibilityforlargera

4、nge ofpromotion,etc.Inaddition,thetechnologyplaysapositiveroleinatmospheric sounding,weathermonitoringandpredictionsystemimprovement,short-time approachingweathersystemoptimization,suddenweatherdisastersmonitoringand droughtandfloodsdisastrousweatherforecast

5、.Currently,retrievalofGPSwatervaporhasbeenwidelyresearchedbothathome andabroad;however,ithasn'treachedattheuniversalapplicationlevelinChina. SincemanycrustalmovementobservationsnetworkandContinuousOperational ReferenceSystemarenotequippedwithstandardizationm

6、eteorologicaldata monitoringequipments.Therefore,itisalsonecessarytodofurthertheoretical analysisandstudyofalgorithmstohowfurthereffectiveusesthesecontinuousGPS measuringstations,andimprovereal-timeretrievalofgpswatervapormonitoring technologyandtheretrieval

7、ofGPSwatervaportechnologywithoutmeteorological data.Thispaperfocusesontheseveralkeytechnologiesanalysisandresearchfor retrievalofGPSwatervapor.Basedonrealtimemeteorologicaloperationalneed,this paperstudiesthereal-timeretrievalofGPSwatervaportechnologywithout

8、 meteorologicaldata.Thispapermainlyfocuseson:1.RetrievalofGPSwatervaportheory.Thispapercomparativelyanalysethe individualcharacteristicsandcalculationmethodsofrelatedmodelsanduses soundingdatain

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