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Expected Calibration Perform ance of the NPP Cross-track I nfrared Sounder ( CrI S) Hank Revercomb David C Tobin, Robert O. Knuteson, Joe K Taylor, Lori Borg, Fred A Best University of Wisconsin-Madison, Space Science and Engineering Center


  1. Expected Calibration Perform ance of the NPP Cross-track I nfrared Sounder ( CrI S) Hank Revercomb David C Tobin, Robert O. Knuteson, Joe K Taylor, Lori Borg, Fred A Best University of Wisconsin-Madison, Space Science and Engineering Center (SSEC) NASA Sounder Science Team Meeting Aqua AIRS/ NPP CrIS Beckman Institute, Caltech, Pasadena, CA 4-7 May 2009 Slide 1

  2. Acknowledgements Joe Predina, Ron Glumb, and others at ITT Mark Esplin, Gail Bingham and others at SDL Larrabee Strow at UMBC Dan Mooney and Bill Blackwell at MIT Bill Smith, Graeme Martin, and Ray Garcia at UW Allen Larar at NASA LaRC Farhang Sabet-Peyman and others at NGC Karen St. Germain and others at the Integrated Program Office This presentation includes independent analysis of CrIS Flight Model 1 thermal vacuum test data performed by the SSEC/UW-Madison under IPO support and summarizes our view of the expected radiometric performance and accuracy of the sensor (More detail presented at Vancouver OSA, 27-30 April 2009 by Tobin et al., HMC1 and Taylor et al., FMA4) Slide 2

  3. Topics 1. Introduction to CrIS 2. Flight Model Calibration Issues: Identified early in 2008 and subsequently fixed  Unexpectedly low Internal Calibration Target (ICT) emissivity led to replacement with EDU ICT  Correction developed for higher than expected non-linearity 3. Absolute Accuracy Expectations for CrIS: Thermal Vacuum Test Results In-flight and testing uncertainty separately identified Preview: Uncertainty generally <0.2 K 3-sigma Slide 3

  4. 1. Introduction to CrIS  The operational follow-on to AIRS PM Sounder  IASI provides AM Soundings Slide 4

  5. Cross-track Infrared Sounder (CrIS) for NPP / NPOESS Current Next Generation Generation HIRS CrIS (20 ch) (1307 ch) Volume: < 71 x 80 x 95 cm Mass: < 152 kg Power: < 124 W Data Rate: <1.5 Mbps from Williams, Glumb and Predina, ITT, August 2005 SPIE

  6. Future Upgrade Areas Tobin et al., OSA FTS 2005

  7. Flight Model 1 (FM1) Status • Primary Thermal Vacuum (TVAC) testing complete & in Pre-ship review process – Vibration & EMI tests – FOV Shape / Co-registration – ILS / Spectral Accuracy – NEDN – Short Term Repeatability – Long Term Repeatability – Radiometric uncertainty and linearity testing • NIST post TVAC External Calibration Target validation being planned • FM1 expected to ship to the spacecraft for integration testing later this year NPP launch in early 2011 • Slide 7

  8. Calibration Accuracy Requirements • CrIS sensor Radiometric Specifications are primarily driven by weather applications. Expressed as (1-sigma) percent radiance AIRS Specification (3%) uncertainty with respect to Planck 287K radiance [i.e. 100  dR/B(287K)]: – Longwave: 0.45% – Midwave: 0.58% – Shortwave: 0.77% for B(233K) to B(287K) • Climate Applications typically desire better accuracy e.g. AIRS spec was 3% radiance, but cal/val has shown much lower uncertainty. Will show expected CrIS 3-sigma accuracy Similarly for IASI. is less than the 1-sigma specification Slide 8

  9. Original Expectations • General Design: Incorporates a high emissivity (>0.99), ambient temperature Internal Calibration Target (ICT), giving a high degree of insensitivity to the ICT emissivity (e effective very close to 1) • Linearity: Photovoltaic detectors would be highly linear, requiring no correction • NIST: Confirmation of ICT and External Calibration Target characteristics and radiance uncertainty budget prior to TVAC testing But, NIST Blackbody testing was not performed and early FM1 TVAC results (Jan-May 2008) showed major departures Slide 9

  10. 2. Flight Model Calibration Issues: Identified early in 2008 and subsequently fixed  Unexpectedly low Internal Calibration Target (ICT) MW/SW emissivity led to replacement with EDU ICT  Correction developed for higher than expected non-linearity Slide 10

  11. TVAC MN results circa June 2008 (original ICT) using linear calibrations ECT@200K ECT@233K Brightness Temperature (K) ECT@260K ECT@287K ECT@299K 1. ICT emissivity ECT@310K Chart 11 wavenumber (cm -1 )

  12. Original FM1 ICT emissivity 5 µm 10 µm 1.00 Expected ICT emissivity f=2/3 Derived ε eff assuming f=1/3 R ICT = ε eff B(T ICT ) + (1-f)(1- ε eff )B(295K) + ICT Cavity Emissivity f=1/6 f(1- ε eff )B(100K) f=1/12 f=1/24 Reflectivity in MW/SW f=1/48 Observed spectra >10 x higher than expected! f=1/96 f=1/192 explained by: f=1/384 (a) implausibly large cold backround fraction, or Emissivity & Cold Background Fraction (f) required (b) very low cavity/surface to match CrIS radiance for 299 K Blackbody Target emissivity Proven answer wavenumber (cm -1 ) Slide 12

  13. Current FM1 ICT emissivity 5 µm 10 µm 1.00 • Defective ICT replaced by 0.95 EDU3 ICT • ITT transfer radio- meter (TSSR) measured 4 µm emissivity • Special TVAC Emissivity from test measured UW analysis of CrIS spectrum PQH@315K dataset Slide 13

  14. Emissivity uncertainty dependencies 1-sigma Uncertainty 1% We conservatively assume 0.01 1-sigma (0.03 3-sigma) uncertainty, largely constrained by TSSR and spectral dependence from background T uncertainty Slide 14

  15. Reflected Component of Predicted ICT Radiance View factors accurately determined by ITT, yielding the following simplified picture: The predicted ICT Radiance, used in the calibration equation, is: R ICT = ε ICT B(T ICT ) + (1- ε ICT ) R ICT,Reflected where (1- ε ICT ) R ICT,Reflected is the reflected term. Contributions to R ICT,Reflected fall into three groups 1. Ambient temperature components with active temperature sensors, accounting for ~47.5% view factor. 2. Near ambient temperature components without representative temperature monitoring, accounting for ~50.8% view factor. Thermal modeling predicts orbital variation of ~5.5K peak-to-peak variation in these components. 3. Cold view components, accounting for ~1.8% view factor. Slide 15

  16. TVAC results circa June 2008 (original ICT) using linear calibrations ECT@200K ECT@233K Brightness Temperature (K) ECT@260K ECT@287K ECT@299K 2. Nonlinearity ECT@310K Chart 16 wavenumber (cm -1 )

  17. CrIS FM1 Non-linearity Summary • The LW and MW ECT view residuals (calibrated minus predicted) using linear calibrations display spread among FOVs and mean residuals which are negative for T ECT > T ICT and positive for T ECT < T ECT . Minimal spread and near zero mean residual for T ECT ~=T ICT . SW linear. • Out-of-band harmonic analyses utilizing Diagnostic Mode (DM) data collections show the nonlinearity to be purely quadratic for the LW and MW bands, and linear for the SW. In-band Diagnostic Mode (DM) Spectrum Double-pass contribution wavenumber • UW Correction (developed for PC MCT detectors) applied to all CrIS LW & MW interferograms C LIN = (1+2 a 2 V DC ) C MEAS where C MEAS is the measured (nonlinear) complex spectrum, a 2 is the the quadratic nonlinearity coefficient, and V DC is the DC level. • V DC is modeled based on measurements from CrIS a 2 is estimated for each LW and MW FOV using in-band ECT view data and out-of-band harmonic analysis. Slide 17

  18. Non-linearity Parameters (a 2 ) From DM data & TVAC (Low, Nominal, High) Final estimates (“Opt”) are mean of estimates for each FOV 1-sigma uncertainty from estimate variability: 9.6% for LW 15.5% for MW Yield very conservative 3-sigma estimates Slide 18

  19. MN (T~296K) Brightness Temperature residuals without NLC ECT@310K ECT@299K, T ECT ~ T ICT ECT@287K ECT@260K ECT@233K ECT@200K

  20. MN: Brightness Temperature residuals w/ NLC and “Opt” a 2 values ECT@310K ECT@299K, T ECT ~ T ICT ECT@287K ECT@260K ECT@233K ECT@200K

  21. 3. Absolute Accuracy Expectations for CrIS: Thermal Vacuum Test Results  In-flight calibration uncertainty  Thermal Vacuum Testing Uncertainty Slide 21

  22. CrIS FM1 In-flight Radiometric Uncertainty On-orbit radiometric calibration equation: R Earth = Re {(C’ Earth – C’ Space )/(C’ ICT -C’ Space )}(R ICT -R Space ) + R Space with: R ICT = ε ICT B(T ICT ) + (1- ε ICT ) R ICT,Reflected R Space = B(T Space ) C’ = C (1+2 a 2 V DC ) Slide 22

  23. CrIS FM1 In-flight Radiometric Uncertainty (3-sigma Tb) Example for Small MW non-linearity (FOV 9 ) 1-sigma Uncertainty Slide 23

  24. CrIS FM1 In-flight Radiometric Uncertainty (3-sigma Tb) Example for Largest MW non-linearity (FOV 7) 1-sigma Uncertainty Slide 24

  25. CrIS FM1 In-flight Radiometric Uncertainty (3-sigma Tb) Example for Largest MW non-linearity (FOV 7) 1-sigma Uncertainty Slide 25

  26. CrIS FM1 In-flight Radiometric Uncertainty (3-sigma Tb) versus scene T for all FOVs at ~mid-band Uncertainty generally <0.2 K 3-sigma Slide 26

  27. CrIS FM1 In-flight Radiometric Uncertainty (3-sigma Tb) versus scene T for all FOVs at ~mid-band Uncertainty for FOVs with larger non-linearity will be reduced from inflight data Slide 27

  28. CrIS TVAC Testing Radiometric Uncertainty TVAC calibration equation for ECT view: R ECT = Re {(C’ ECT – C’ ST )/(C’ ICT -C’ ST )}(R ICT -R ST ) + R ST Calibrated with: R ST = ε ST B(T ST ) + (1- ε ST ) B(T ST,Relected ) R ICT = ε ICT B(T ICT ) + (1- ε ICT ) R ICT,Reflected C’ = C (1+2 a 2 V DC ) TVAC “truth”: ECT view predicted: R ECT = ε ECT B(T ECT ) + (1- ε ECT ) B(T ECT,Relected ) Predicted

  29. TVAC Testing 3-sigma Radiometric Uncertainty Example for FOV 7 & 260 K 1-sigma Uncertainty Slide 29

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