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1、BlendedHITRANandotherspectradatabasesformodelingemission-basedLIDARDenisPlutovDennisKillingerDepartmentofPhysicsUniversityofSouthFloridaTampa,FL11thHITRANConference,CambridgeMA,June16,2010OutlineEmissionbasedLIDAR-LIBS(Laser-inducedbreakdownspectroscopy)-LITE(Laser-inducedthermalemission)-Modi
2、ficationofLIDARdetectedspectrumbyatmosphereUseofHITRAN-PCandLIDAR-PCforLIBS/LITEmodelingBlendeddatabasesformodeling-ComparisonofHITRANandGEISA-ComparisonofPNNL,EPA,HITRAN,andGEISACurrentwork-Needforembeddedweb-browsertoaccessweb-baseddatabases(Mpi-Mainz,JPL,CDMS,EPA)-Newspectralfeaturesplanned
3、forHITRAN-PC5.0Beta-Realtimespectraldecompositionapproachexamples5.OverallPhilosophyofHITRAN-PCasaSpectralDesignToolEmissionbasedLIDAREmissionbasedLIDARsetupsLIBSsetupLITEsetupExampleofatmosphericeffectsonexperimentalLITEspectraExperimentalLITEspectrumofpaintedwoodAtmosphericpath~1meterImporta
4、nceofblendeddatabasesforaccuratetransmissionspectraModifyourexistingHITRAN-PCtoinclude-UV-VISdatabases(importantforUVLIBSetc.)-IRexperimentaldatabases(atmosphericpollutantsetc)•Combineduse/blendingandcomparisonofdatabases-Additionofcontaminantcloudstotheatmosphere-Supplementingspectraldataunav
5、ailableinHITRAN(suchasO2absorptionintheUVforLIBSetc.)EmissionbasedLIDARmodelingandevolutionofHITRAN-PCBlended/newdatabasessupportedbyHITRAN-PC5.0BetaGEISAline-by-lineGEISAcross-sections(difficulttousewithautomatedaccess)Newexperimentaldatabasessupported-AEDC/EPA(Atmosphericpollutants)-Coblent
6、zIRdatabase-NISTIRdatabases-Mpi-MainzUV-VISspectralatlasJPLandCDMSRunningHITRAN-PCwithHITRANandGEISAatthesametimeandsameparametersHITRANCalculationparameters:Slantpath45degreeuplooking,20kmpath,20layers,USstandardGEISAExample:HITRANandGEISAline-by-linecomparisonsforCH4HITRANGEISAHITRANGEISACal
7、culationparameters:1000mpath,part.press:5E-4AtmExample:ComparisonofthePNNL,EPA,HITRANandGEISAline-by-lineforCH3BrPNNLCH3Br,1kmpath,5ppmHITRANGEISAEPA**-EPA(Multi-spectra,somewithcontaminants)Example:ComparisonofthePNNL,EPA,HITRANandGEIS