简介：Number1GlobalSeaLevelChangeandThermalContributionZUOJuncheng,ZHANGJianli,DULing,LIPeiliang,andLILei

简介：ByimplementingtheARGOprogram,alargenumberofT-Sprofilescanbeobservedintheworldocean.However,itisverydifficulttoexaminechangesofthesensitivityofthesensorsequippedattheARGOfloats,becauseitisdifficulttounderstandtheirconditionintheseaandthereliabilityofthedata.Qualitycontrolmustbedoneinordertoavoidthewrongconclusiondeducedfromthewrongdata.OneoftherealisticmethodsforqualitycontroloftheARGOdataisthecomparisonwiththelocalclimatology.HighqualityclimatologicalT-SmodelsinnorthwestPacifichavebeenbuiltbasedontheNansenbottledataandCTDdataforthequalitycontrolinNMDIS.ThemodelsareusedtochecktheARGOdatainthisareaandhavegotgoodresult.

简介：Inthispaper,almostallavailableobservationaldataandthelatest6.0versionofRegionalAtmosphericModelingSystem(RAMS)modelwereemployedtoinvestigateaheavyseafogeventoccurringovertheYellowSeafrom2to5May2009.TheevolutionaryprocessofthiseventwasdocumentedbyusingMultifunctionalTransportSatellites-1(MTSAT-1)visiblesatelliteimagery.Thesynopticsituation,soundingprofilesattwoselectedstationswereanalyzed.Thedifferencebetweentheairtemperatureandseasurfacetemperatureduringtheseafogeventovertheentiresearegionwasalsoanalyzed.Inordertobetterunderstandthisevent,anRAMSmodelingwitha15km×15kmresolutionwasperformed.Themodelsuccessfullyreproducedthemaincharacteristicsofthisseafogevent.ThesimulatedheightoffogtopandtheareaofloweratmosphericvisibilityderivedfromtheRAMSmodelingresultsshowedgoodagreementwiththeseafogareaidentifiedfromthesatelliteimagery.ExaminationsofbothobservationaldataandRAMSmodelingresultssuggestedthatadvectioncoolingseemedtoplayanimportantroleintheformationofthisseafogevent.