摘要
AMSU-A(AdvancedMicrowaveSoundingUnit-A)measurementsforchannelsthataresensitivetothesurfaceoverlandhavenotbeenwidelyassimilatedintonumericalweatherprediction(NWP)modelsduetocomplicatedlandsurfacefeatures.Inthispaper,theimpactofAMSU-AassimilationoverlandinSouthwestAsiaisinvestigatedwiththeWeatherResearchandForecasting(WRF)model.Fourradianceassimilationexperimentswithdifferentland-surfaceschemesaredesigned,thencomparedandverifiedagainstradiosondeobservationsandglobalanalyses.BesidesthesurfaceemissivitycalculatedfromtheemissivitymodelandsurfacetemperaturefromthebackgroundfieldincurrentWRFvariationaldataassimilation(WRF-VAR)system,thesurfaceparametersfromtheoperationalMicrowaveSurfaceandPrecipitationProductsSystem(MSPPS)areintroducedtounderstandtheinfluenceofsurfaceparametersonAMSU-Aassimilationoverland.ThesensitivityofsimulatedbrightnesstemperaturestodifferentsurfaceconfigurationsshowsthatusingMSPPSsurfacealternativessignificantlyimprovesthesimulationwithreducedrootmeansquareerror(RMSE)andallowsmoreobservationstobeassimilated.Verificationsof24-htemperatureforecastsfromexperimentsagainstradiosondeobservationsandNationalCentersforEnvironmentalPrediction(NCEP)globalanalysesshowthattheexperimentsusingMSPPSsurfacealternativesgeneratepositiveimpactonforecasttemperaturesatloweratmosphericlayers,especiallyat850hPa.ThespatialdistributionofRMSEforforecasttemperaturevalidationindicatesthattheexperimentsusingMSPPSsurfacetemperatureobviouslyimproveforecasttemperaturesinthemountainareas.ThepreliminarystudyindicatesthatusingpropersurfacetemperatureisimportantwhenassimilatinglowersoundingchannelsofAMSU-Aoverland.
出版日期
2011年05月15日（中国期刊网平台首次上网日期，不代表论文的发表时间）
