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Inter-satellite Calibration of HIRS OLR Time Series

Inter-satellite Calibration of HIRS OLR Time Series. Hai-Tien Lee University of Maryland, CICS/ESSIC-NOAA Arnold Gruber University of Maryland, CICS/ESSIC-NOAA Robert G. Ellingson Florida State University, Dept. of Meteorology Istvan Laszlo NOAA/NESDIS.

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Inter-satellite Calibration of HIRS OLR Time Series

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  1. Inter-satellite Calibration of HIRS OLR Time Series Hai-Tien Lee University of Maryland, CICS/ESSIC-NOAA Arnold Gruber University of Maryland, CICS/ESSIC-NOAA Robert G. Ellingson Florida State University, Dept. of Meteorology Istvan Laszlo NOAA/NESDIS NOAA/NESDIS Cooperative Research Program 2nd Annual Science Symposium Madison, WI. July 13-14, 2005

  2. Outline • Cal/Val Issues for the OLR Climate Data Record (CDR) • Inter-satellite Calibration of HIRS OLR Time Series • Findings and Discussion

  3. Cal/Val Issues for the OLR Climate Data Record “A time series of measurements of sufficient length, consistency, and continuity to determine climate variability and change.”– Committee on Climate Data Records from NOAA Operational Satellites, NRC/NAS, 2004. What is CDR?

  4. Satellite OLR Products

  5. Equator Crossing Time for NOAA Polar Orbiters

  6. AM Typical Satellite Track Crossing for a Morning and an Afternoon POES PM

  7. Inter-satellite calibration for HIRS OLR Collocation: • 1°x1° lat/lon • ±30 minutes • n > 1 Homogeneity filter: • Std error of mean OLR < 1 Wm-2

  8. Improvement with inter-satellite calibration The blended HIRS monthly mean OLR data with the adjustments determined by inter-satellite calibration agrees much better with the CERES. Magenta - CERES (TRMM, Terra, Aqua) Black solid/dotted - HIRS, blended with calibration method 1/2 Brown - HIRS from individual satellites: NOAA11, 12, 14, 15, 16 Tropical Mean

  9. Global Mean Magenta - CERES (TRMM, Terra, Aqua) Black solid/dotted - HIRS, blended with calibration method 1/2 Brown - HIRS from individual satellites: NOAA11, 12, 14, 15, 16

  10. Instrument Continuity & Algorithm Consistency N10-N09 N11-N10 HIRS/2 vs. HIRS/2I HIRS/2 N14-N11 N15-N14 HIRS/2I vs. HIRS/3 HIRS/2I

  11. Collocation occurs in the rhombus ABCD: AB & CD: ZA5 > ZA6 BC & AD: ZA6 > ZA5 N06 B C A N06 > N05 D N05 N06 < N05

  12. Summary • The HIRS OLR inter-satellite calibration method worked very well. It significantly reduced the discontinuity in the OLR time series that were introduced by various sources of inconsistency and errors. • Identified inconsistent OLR retrievals caused by the changes in HIRS instruments and OLR algorithm. • Found some large OLR differences that might point to the limb correction and/or modeling for extreme conditions. • Call for revision of the Operational algorithm. • This procedure may apply to the inter-satellite calibration of other thematic CDR products.

  13. Backup Slide

  14. Multi-spectral HIRS OLR Algorithm =local zenith angle ai=regression coefficients (Ellingson et al., 1989)

  15. Validation of Multi-spectral OLR Algorithms Ellingson et al., 1994: Validation of a technique for estimating outgoing longwave radiation from HIRS radiance observations J. Atmos. Ocean. Technol., 11, 357-365. Ba et al., 2003: Validation of a technique for estimating OLR with the GOES sounder. J. Atmos. Ocean. Technol.,20, 79–89.

  16. Channel selections NOAA16 HIRS/3 OLR Spectrum Mid-lat Summer GOES8 Sounder GOES8 Imager GOES-R ABI

  17. Earth Radiation Budget Kiehl and Trenberth, 1997. Bull. Amer. Meteor. Soc., 78, 197-208.

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