1 / 23

Institut für Umweltphysik (IUP) Institut für Fernerkundung (IFE)

CarbonSat L1L2 Study Final Presentation , 3-Jul-2013 . Universität Bremen, FB1 Physik und Elektrotechnik. Institut für Umweltphysik (IUP) Institut für Fernerkundung (IFE). Level 2 XCO 2 and XCH 4 Performance w.r.t. Clouds & Aerosols: Nadir – from scenarios to global scale

lorant
Télécharger la présentation

Institut für Umweltphysik (IUP) Institut für Fernerkundung (IFE)

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CarbonSat L1L2 Study Final Presentation, 3-Jul-2013 Universität Bremen, FB1 Physik und Elektrotechnik Institut für Umweltphysik (IUP) Institut für Fernerkundung (IFE) • Level 2 XCO2 and XCH4 Performance w.r.t. Clouds & Aerosols: • Nadir – from scenarios to global scale • ESA Study CarbonSat Earth Explorer 8 Candidate Mission • “Level-2 and Level-1B Requirements Consolidation Study“ • ESA Contract No4000105676/12/NL/AF M. Buchwitz, M. Reuter, J. Heymann, O. Schneising, V. Rozanov, H. Bovensmann Institute of Environmental Physics (IUP) / Institute of Remote Sensing (IFE), University of Bremen (UB), Bremen, Germany 1

  2. Overview • Scatteringrelatedbiasesdue toaerosolsandundetectedcloudsincludingthin (sub-visual) cirruscloudsareexpectedtodominatetheerrorbudgetesp. w.r.t. XCO2systematicerrors (biases) • Withinthisstudythisaspecthasbeenstudied in detailusing different approaches • This presentationfocus on nadirobservationsoverland: • Simulation framework & CS instrumentparameters • Part 1: Single scenarios (short) • Part 2: Global analysis (focus) • ( Glint: seefollowingpresentationbyUoL (H. Boesch) ) 2

  3. Simulation framework Estimation of random &systematic errors of CarbonSatXCO2 & XCH4 retrievals: Retrieved – true = systematic error XCO2 and XCH4 True XCO2 & XCH4 (Model) Atmosphere CO2(z), CH4(z), p(z), T(z), ... Retrieved XCO2 & XCH4 +/- random error Albedo, SZA, aerosols, clouds, ... a priori information: CO2, CH4, ... Observing System = Instrument + Retrieval Algo RTM BESD/C Various scenarios (aerosols, clouds, ...) Instrument Model Radiance Radiance @ instrument resolution & sampling, SNR, ... Specification (MRD) Instrument errors NOV-7090-SL-2551 3

  4. CarbonSat Instrument Parameters From: TN-3b1 4

  5. Part 1 Single scenarios (shortassufficient time neededfor Part 2; pleasesee TNs formoredetails) 5

  6. Scenarios • „Main Geophysical Scenarios“: • Different SZA, waterclouds, aerosoltypes, surfacealbedos • Foreachofthem 135 „Basic Geophysical Scenarios“: • Different cirrus (opticaldepth, altitude) • AODs • VCF Details: Please see TN-3b1 6

  7. Error analysisresults: Example: 135 VEG50/CA scenarios Scenario: SZA: 50o Albedo: VEGetationAerosols: OPAC Continental Average (CA) Grey: All Black: Quality filtered XCO2(FP): Precision: 0.76 +/- 0.04 ppm Bias: 0.31 +/- 1.22 ppm COD: Wellretrieved CTH: Wellretrieved AOD+WOD: Low quality(BESD/C tobeimproved) VCF: Wellretrieved From: TN-3b1 7

  8. Error analysisresults (TN-3b1): Summary variousscenarios • Aerosols: CA= Continental Average, DE = DEsert • Albedo: VEG = VEGetation, SAS = Sand/soilalbedo • WOD: Optical DepthoflowlyingthinWaterclouds- not a majorissues (errorslowordetectedandflagged) • Biasescanbe large for: • DE aerosols: Improve BESD/C incl. betteruseof SWIR-2, filtering+ other (e.g., AAI filter) • Large SZA: Restrictto < 70o 8

  9. Part 2 Single scenarios -> Globale scale Generation & analysisofoneyearofsimulatedCarbonSat Level 2 Activity closely linked to parallel CarbonSat LOGOFLUX study: CarbonSat L2->L4 Study LOGOFLUX ledbyNOVELTIS CarbonSat L1/L2 Requirements Study ledbyIUP, Univ. Bremen E.g. L4 applications: E.g. assessmentofcity CO2emissions (IUP: Berlin) Oneyear global analysis (errorparameterization) Single scenarios, … 9

  10. Approach • Approach: • Defineorbit and generate files containing for eachground pixel information such as lat, lon, time, relevant angles (SZA, VZA, …), … • Compute for eachground pixel random and systematic XCO2 and XCH4errors and averagingkernels • CarbonSat Level 2 error (L2e) files: • A oneyeardatasetcontainingforeachsufficientlycloudfreegroundpixel all Level 2 informationasneededfor • erroranalysisof global data • inverse modellingof CO2and CH4surfacefluxes (emissionsand/oruptake) 10

  11. Approach & resultsaredescribed in detail in … Buchwitz et al., AMTD, 2013 11

  12. Howtogeneratethe L2e files ? MODIS: Albedo, aerosols MODIS + correction CS MRD Other: Land/seamask, surface type, topography, … C&A, albedo, … Orbit CALIPSO: Cirrus Foreachsufficientlycloudfree (MODIS) CarbonSatgroundpixel: lat, lon, time, SZA, albedo, aerosols, cirrus … Error parameterization (regression) SimulatedCarbonSat L2 observations Instrument Model RTM BESD/C CS L2e files Error parameterization scenarios Errors & a/kforeachscenario Foroneyear (2008) 12

  13. „Famous“ CarbonSatspatialsampling/coveragecartoon: Berlin Germany 13

  14. CarbonSat: Germany overpass: XCO2 (swath = 500 km) 2x2 km2 Swath=500km Reliableestimate Preliminary ! (dependsstrongly on retrievalalgorithm etc.) 14 Buchwitz et al., 2013

  15. CarbonSat: Germany overpass: XCH4(swath = 500 km) 2x2 km2 Swath=500km Preliminary ! (dependsstrongly on retrievalalgorithm etc.) Reliableestimate 15 Buchwitz et al., 2013

  16. GHG errors & relevant otherparameters 16 Buchwitz et al., 2013

  17. GHG errors: FullPhysics (FP) andPRoxy (PR) 17 Buchwitz et al., 2013

  18. GHG errors: Monthlyaverages (5ox5o, swath= 240 km) 18 Buchwitz et al., 2013

  19. NumberofObservations per month (5ox5o, swath=240 km) Quality filterednadiroverlandonly (SZA < 70o, …) July: 46 x 106 32000 obs. per month per 5ox5o 19 Buchwitz et al., 2013

  20. Regional errordistributions 20 Buchwitz et al., 2013

  21. Regional errordistributions: Summary • XCO2: • Precision: ~1.2 ppm • Biases (C&A): • < 0.3 ppm: ~85% • < 0.5 ppm: ~99% • XCH4: • Precision: ~7 ppb • Biases (C&A): • < 2 ppb: ~85% • < 4 ppb: ~99% 21 Buchwitz et al., 2013

  22. Summary & Conclusions Buchwitz et al., 2013 … … 22

  23. Whatcanbedonewiththis ? CarbonSatdatasethasbeenusedtoanswerquestions such as: Howwellcananthropogeniccity CO2emissionsbederivedfromCarbonSat ? … andmanyotherquestions .. Interestedtoknowtheanswers ? Pleasesee Final PresentationofLOGOFLUXstudy(startsdirectly after this Final Presentation) 23

More Related