www.themegallery.comTerm Paper of Physical ClimatologyRetrieval and Application of Land Surface Temperature (LST)Presenter: Ying SunDepartment of Geological ScienceUniversity of Texas at AustinCOMPANY LOGOwww.themegallery.comContentsPhysical Climatology 20084325143251IntroductionRemote SensingModelSummaryApplicationCOMPANY LOGOUniversity of Texas, Austinwww.themegallery.comIntroductionPhysical Climatology 2008432511Idi t fHazard prediction mitigationLand432511Indicator of Climate changecontrol of upwardmitigationwater managementLandSurfaceTemperaturecontrol of upward terrestrial radiationCrop ManagementProblemAccurate LST DatasetGaps between Research andCOMPANY LOGOAccurate LST Dataset over Global ContinentsGaps between Research and User CommunityUniversity of Texas, Austinwww.themegallery.comIntroductionPhysical Climatology 2008Remote SensingLSTModel LSTIn Situ LSTCOMPANY LOGOUniversity of Texas, Austinwww.themegallery.comRemote Sensing of LSTPhysical Climatology 2008432512432512AVHRR (Advanced Very High Resolution Radiometer)MODIS(Moderate Resolution Imaging Spectroradiometer)BandBandrange(µm)BandBandrange(µm)BandBandrange(µm)BandBandrange(µm)1 0.572-0.697 (Visible) 1 0.620-0.6702 0.716-0.986 (Near infrared) 2 0.841-0.8763 3.54-3.94 (Middle infrared) 20 3.660-3.840410.32-11.32(Thermalinfrared)3110.780-11.280410.3211.32(Thermalinfrared)3110.78011.2805 11.41-12.38 (Thermal infrared) 32 11.770-12.270EOS instrument Terra AM Aqua PMCOMPANY LOGOUniversity of Texas, Austinwww.themegallery.comPhysical Climatology 2008Remote Sensing of LST-Split Window Algorithmpg432512Wan, 1996 Sun, 2003Ad d litid l ith432512Step3)1)(sec())(()()()()(42121131221110kaTTkaTkaTkakakTsUsing Atmospheric Lower Boundary Temperature Advanced split-window algorithm – for daytime LST retreivalStep2Using Column Water Vapor321111iiiTTTTTTTThe three-channel LST algorithm(for night time LST retreival)2)1(2)1(212321212321TTBBBTTAAACTs3335222511143322110 iiiiiiiiiiiisTaTaTaTaTaTaaTCOMPANY LOGOStep1University of Texas, AustinView-Angle Dependent LST Algorithmwww.themegallery.comPhysical Climatology 2008Remote Sensing of LST-A daily long term record of NOAA-14 AVHRR LST over Africa ygFig.2 (a) Ensemble emissiity maps for AVHRR channel 4 and (b) channel 5Fig.3 Composite AVHRR-derived land surface temperature for (a) July 1996COMPANY LOGOFig.1 Schematic representation of NOAA-14 AVHRR GIMMSLST data set processing system for the thermal infrared channelsFig.3 Composite AVHRRderived land surface temperature for (a) July 1996 (overpass around 1:30 PM) and (b) July 2000 (overpass around 4:00 PM). Pinheiro,2006University of Texas, Austinwww.themegallery.comPhysical Climatology 2008Remote Sensing of LST-Analysis of Land Skin Temperature Using AVHRR ObservationsObitDiftypgOrbit DriftEmissivity uncertaintyEmissivity uncertainty Cloud ContaminationFig.5 Global distribution of MODIS-observed land surface emissivity. It is broadband emissivity converted from MODIS spectral emissivity using MODTRANLack of Diurnal CycleView AngleCOMPANY LOGOUniversity of Texas, AustinFig.6 Comparison of (a) TOVS skin temperature with (b) AVHRR-based LSTD diurnal-averaged LST. Both AVHRR and TOVS data are the monthly mean for Jul 1993. Jin, 2003www.themegallery.comModeling of LSTPhysical Climatology 2008432513LST Calculation432513LST CalculationGlobal Climate Model (GCM)National Centers for NCAR Land ModelGlobal Climate Model (GCM) land surface schemesEnvironmental Prediction model (NCEP) NCAR Land Model version 2 (CLM2) COMPANY LOGOUniversity of Texas, Austinwww.themegallery.comPhysical Climatology 2008Modeling of LST-Improvement of Land Surface Emissivity Parameter for Land Surface ModelsRelationship: Broadband Emissivity Relationship: Broadband Emissivity vs.vs. MODIS Spectral EmissivityMODIS Spectral Emissivitypy3231291485256.04606.00139.0Fig. 8 (a) MODIS broadband emissivity for January Jin, 20062003. The broadband emissivities are derived from the MODIS spectral band emissivities using a regression equation–based MODTRAN simulation. The resolution of original MODIS emissivity data is 1 km and here is averaged to the T42 resolution of the climate model (b) Same as in (a) but for July 2001climate model. (b) Same as in (a), but for July 2001.ildildFig.9. Coupled CAM2–CLM2 simulated emissivity impact on surface temperature (K) for two random days in September. The difference is the control run minus the sensitivity run. The control run uses CLM default soil emissivity (ε= 0 96) and sensitivityCOMPANY LOGOdefault soil emissivity (ε= 0.96), and sensitivity run uses satellite-observed emissivity at T42 resolution.University of Texas, Austinwww.themegallery.comPhysical Climatology 2008Modeling of LST- Assimilation of remotely sensed LSTSi i 2008y432513Sini, 2008432513COMPANY LOGOLand Surface Data Assimilation Process Sini, 2008University of Texas, Austinwww.themegallery.comApplication of LST- LST Product RequirementsPhysical Climatology 2008q432514Land Surface Temperature and Emissivity Earth System Data RecordSubproduct Spatial Temporal AccuracyPrecision Current Future432514ppResolutionpResolutionyDataSourcesDataSourceGlobal 10-20 km Hourly 0.5K 0.1-0.3K AIRSGOESCrISGOESMSG MSGRegional 1-5 km 2-4 times daily 0.5-1.0 K 0.1-0.3K MODISAV HR RATSRVIIRS,AV H R RATSRLocal 30-100 m Once every 8-16days0.5-1.0K 0.1-0.3K ASTERLandsatEmissivity 1% or better (in 8-12.5µm) and 3% or better (in 3.6-4.2µm) all resolutionsWorkshop 2008COMPANY LOGOUniversity of Texas, AustinWorkshop, 2008www.themegallery.comPhysical Climatology 2008Application of LST- LST Product Requirements432514qApplicationResolution (m) Temporal Sampling Specific RequirementsNational Drought Assessment1000 1 hr Co-located veg cover infoRi lDhtMiti5017dayColocatedvegcoverinfo432514RegionalDroughtMonitoring501-7dayCo-locatedvegcoverinfoAgriculture Yield and WaterUse50 1-7 day Co-located veg cover infoWeather NWP1000 1-3 hrSilMitdRff50057dayOneobsnearpeakordiurnalSoilMoisture andRunoff500.5-7dayOneobsnearpeakordiurnalrangeClimate Science5000 1-3 hr Sensors overlapWatersheds and EcologicalServices50 1-7 dayLanduse and Urban HeatIsland50 0.5-30 Diurnal range usefulFire50 0.5-7 day Height temperatures sensitivityLithologyand Geological50 0.5-7 day Diurnal range useful; HighCOMPANY LOGOgygHazardstemperatures
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